Posts How CACI helped Merry Hill assess the benefits of an M&S refurbishment

How CACI helped Merry Hill assess the benefits of an M&S refurbishment

In this Article

Merry Hill is one of the largest regional malls in the UK, encompassing over 200 shops such as major flagships Primark, M&S and Next. Sovereign Centros from CBRE were appointed asset managers of the former Intu asset in 2022, and have since expanded the retail, F&B, and leisure offering, with recent high profile openings including Hollywood Bowl and national debuts for Harvey Norman and XF Gym.

When Merry Hill chose to invest in renovating the M&S flagship store, they needed to quantify the impact changes would have on performance. This required a robust simulation of the future turnover and resulting footfall. In this blog, we uncover the steps that CACI took to help Merry Hill understand the impact of refurbishing M&S and gain investors’ approval to execute it.

How CACI evidenced outcomes of refurbishing Merry Hill’s M&S

CACI compiled a report covering an overview of M&S’ current performance, the impact of a refurbishment on the retailer’s turnover and the cross-shopping potential it could bring across Merry Hill. The report also considered factors such as benchmark centre sales where M&S had already been upgraded, annual trips to Merry Hill should the refurbishment not take place, and potential customer loss to Bullring & Grand Central mall where a new M&S was due to open.

The data sources included in CACI’s report were:

  • Transactional Spend Data: Derived from real-world debit card spend data from multiple sources, Transactional Spend Data is a fully consented view of spending patterns. It offers granularity into how different groups interact and how customers engage through an analysis of spend by product category.
  • Acorn: CACI’s consumer segmentation model combines geography with a variety of demographics and lifestyle data sources, grouping the entire population into 6 Categories, 18 Groups and 62 Types. It supplies insights into the role that demographics plays in impacting the performance of a location and helps identify key users of a site.
  • Location Dynamics: CACI’s machine learning tool predicts the retail, grocery and leisure catchments of over 6,000 destinations in the UK. It considers underlying population and spend, competitive landscapes and accessibility to each destination to model overlapping catchments. In this context, Location Dynamics was used to predict the centre’s performance, and overlap with Birmingham city centre, allowing for a comparison to actual sales to understand where and how the centre could grow turnover.
  • Brand Dimensions: CACI’s benchmarking tool tracks the performance of 300 major brands over time. In this instance, it examined M&S spend performance nationally and at benchmarked locations.

What value would refurbishing Merry Hill’s M&S bring?

Having been at Merry Hill for three decades, investing in a refurbishment of M&S would solidify its continued commitment to the centre.

Increase in average spend, dwell time & turnover

CACI uncovered that centres with a refurbished M&S store have seen an increase in average spend per head in benchmark centres by 2.2%, which could help generate a substantial turnover at Merry Hill. With M&S accounting for 11% of centre floorspace at Merry Hill, improving its appearance could impact the ambience of the rest of Merry Hill and contribute to an uplift in dwell time, retail spend, and catering for the wider centre. Refurbishing Merry Hill’s M&S would also accelerate turnover at both the store and across the centre, as refurbishment is cited as a key factor for increasing sales.

Appealing to younger, more affluent demographic

Our research has shown that refurbished stores tend to attract younger, more affluent shoppers. While Merry Hill’s diverse shopper profile of Executive Wealth, Mature Money, and Steady Neighbourhoods Acorn groups is well aligned to key shoppers for M&S, key groups have all under performed versus catchment expectation. A refurbished M&S would appeal to these underperforming visitors.

A reported 82% of M&S shoppers also go on to spend in other stores at Merry Hill. Therefore, the new footfall that a refurbished M&S would attract would benefit other tenants in the centre.

Sales growth from new & existing shoppers

Within this project, we were able to quantify the number of new Merry Hill visitors that would be generated as a result of the refurbished M&S, with considering factors including their potential spend in M&S and their spill-over expenditure across the wider centre.

Graeme Jones, Executive Director at Sovereign Centros from CBRE: “M&S has been a big part of Merry Hill for several decades, so any decision about their future is one that needed to be made with real consideration of the potential impact on the destination. When we decided that we wanted them to introduce their latest shop fit, while consolidating from two units into one to create new opportunities, we started to create a proposal for M&S that would make the best possible case for a significant investment commitment. The data and insight from CACI was a crucial element of that business case, emphasising the rationale from a visitor, brand, and landlord perspective. It helped achieve a positive outcome for all parties, and the new M&S store is already beating commercial targets, and has had a big impact on Merry Hill and its visitor numbers.”

Ellie Brettell, Senior Property Consultant at CACI: “We’re increasingly being asked to support decisions like this one, where significant investment is involved and multiple parties need reassurance that the right choice is being made. Our objective, data-driven approach helps provide that clarity. Our contribution to this fantastic deal for Merry Hill was possible because of our expertise working for brands and owners of places – we understand the goals and potential impacts on both sides and can therefore create a report that rationalises a decision for all parties. Our evidence base made it clear that this deal would create positive outcomes for everyone involved, so naturally we’re proud that our work has helped to deliver such tangible success.”

How CACI can help

The insights provided through CACI’s report instilled both internal and external stakeholders with the necessary confidence to make significant investments in the refurbished M&S. To learn more about our products and data available from key partners to generate a single view of the UK property market, contact us today.

A New Face of Health – How Younger Consumers Are Reshaping Location Strategy

In this Article

From weight loss medication and fertility support to cosmetic and hair loss treatments, the traditional elective healthcare landscape is being radically transformed.

Historically, elective healthcare might have been associated with older demographics or specific medical needs. However, recent insights from CACI’s Voice of the Nation (VOTN) consumer survey reveal a compelling shift: a surge in demand for elective treatments from wellness and image-conscious Gen Z and Millennial consumers.

This fundamental change has profound implications for healthcare providers and their location strategies to ensure they are precisely aligned with the evolving demographics of their target audiences and meet their notably high expectations around convenience, accessibility, and experience. This offers a huge challenge – and opportunity – for healthcare brands to adopt a more agile, data-informed approach to their physical presence.

A complex convergence of health, wellness and beauty consumption

Our Voice of the Nation (VOTN) survey reveals that weight-loss treatments like Mounjaro and Ozempic are projected to grow by 40% in 2025, with Millennials and Gen Z leading the charge. And Gen Z show equal interest among both male and female respondents unlike all other age cohorts, where women predominate.

And while 4.9% of respondents overall say they plan to pay for cosmetic treatments in 2025, this number rises above 10% for Gen Z respondents and female Millennials but remains below 3% for anyone older than 45.

It might be tempting to assume that this trend is purely about aesthetics. And there’s some truth in this. For those planning to increase their beauty spending in 2025, nearly 14.9% planned to pay for cosmetic treatment against 4.9% generally. Similar jumps were seen for hair loss treatment (10.2% versus 3.3% generally) and weight loss services (14.9% against 6.4% generally).

Yet other issues are also in play.

For Gen Z respondents who considered ‘Health’ as a top three issue facing the UK, there was also a distinct increase in planned treatments: 16.2% of Gen Z males concerned about health were planning weight loss treatments versus 9.7% in general, for example.

In addition, when we look at the Voice of the Nation sentiment data through our in-depth Acorn geodemographic segmentation, demand for all types of healthcare treatments spans both affluent and less affluent groups.

Brought together, the data shows there’s a truly complex mix of motivations — from aesthetics and wellness to proactive health management – across and within different age cohorts. But all with the clear underlying message that Millennials and Gen Z with their growing spending power are seriously invested in elective healthcare treatments that make them feel and look better.

Why Traditional Site Selection Falls Short

Historically, location planning in healthcare has relied on broad demographic assumptions or legacy performance data. But in today’s market, that’s not enough, no longer can site selection be based on general market trends. A clinic with the wrong treatment offer, placed in the wrong area – too far from its target audience, or in a location with low footfall – can struggle to gain traction, regardless of the quality of care it offers.

But critically, it’s not just about what these consumers want — it’s about where they are. Something that after Covid-19 has also changed. Traditional assumptions about most people working from the office every day no longer hold.  Our VOTN research found that on average people now only spend on average 2.5 days in the office – Gen Z spending 12.5% more time in the office than Gen X and Baby Boomers.

Younger generations are more likely to live in urban centres, commute via public transport, and expect services to fit seamlessly into their daily routines. This is reflected in our VOTN data which finds Gen Z less likely to have products delivered to home and far more likely to have purchases delivered to a pick-up/drop off point like a locker or local convenience store (39% versus 23% in general) or delivered to a convenient location like their office (27% versus 14% in general). 

And as we’ve already noted younger generations are also more likely to pay for treatments where the NHS is not offering what they need or on the timescale they want it.

What’s needed is a more granular, predictive approach to location choice: one that considers not just who your customers are, but how they move, spend, and engage with products and services.

A data-driven bespoke approach to Location Strategy

Healthcare treatment providers looking for physical locations that will help them match this complexity of demand and grow their business should be looking to modern location analytics that combine powerful human behavioural and geographical insights. Rather than taking an ‘off-the-shelf’ approach that can obscure what’s really going with the new healthcare consumer, a bespoke approach allows you to:

  • Map journey-time decay to understand how far patients are willing to travel for different services
  • Define profile catchments using lifestyle segmentation like our CACI Acorn that can leverage over 700 economic, behavioural and social variables to identify over-represented consumer types in particular areas
  • Deeply understand who your ideal customers and their locations are through powerful location intelligence tools like InSite
  • Overlay footfall and spend data to assess the commercial viability of potential sites
  • Unlock ‘white space’ by using location analytics such as provided by our Location Dynamics to identify areas with unmet demand and minimal competition
  • Rank postcode sectors by indicators like Private Medical Insurance coverage or self-pay propensity

The future of healthcare location strategy

The rise of younger, self-directed healthcare consumers who value their physical and mental wellbeing is clearly not a passing trend – it’s a structural shift. To stay relevant, providers must meet these audiences where they are – both physically and emotionally, including as they ‘age’ into other services like fertility, hair loss treatments and joint replacements.

To truly capture this growing segment, providers must harness advanced data to pinpoint and predict high-potential areas where these new consumers live, work, and spend. This ensures that every new clinic, every re-evaluated existing site, is positioned for maximum impact, catering directly to the evolving needs and preferences of a generation redefining elective health. That means rethinking location strategy as a core part of business planning, not just an operational detail. With the right data and tools, healthcare brands can build a physical location footprint that’s not only efficient for today, but also future-proof.

To find out how we can help you find the healthcare consumers best suited to your services, get in touch with us.

Case study

Driving performance through the Centre Growth Model 

Summary

CACI has long advised its retail property clients on strategies to grow sales and footfall at their assets. The Centre Growth Model combines CACI, client and third-party dataset to give clients a clear direction on how, where and who to grow sales from across their customer base. 

Industry

Property

Services used

Centre Growth Model

Challenge

CACI property clients need to grow customer sales at their retail destinations (e.g. regional malls, retail parks, outlet centres) to increase the value of their assets. Understanding how often a customer visits, how much they spend on a visit, and who doesn’t visit (but should), versus the performance of peer group locations allows clients to understand what good looks like, where to improve, and ultimately settle on the most appropriate strategy for growth.  

Icon - Outline of three people with a target surrounding them

Clients need to understand customer behaviour and benchmark against peers to develop effective growth strategies.  

Icon - Illustrative workflow

The Centre Growth Model combines various datasets to guide clients on growing sales and footfall. 

Icon - Magnifying glass with an upward arrow going through above a bar chart

The model uses geographic and demographic data to identify growth opportunities and optimize marketing efforts 

Solution

Strategies for customer growth can be complex and will vary through both geographic location (how far away a shopper is from a retail destination) and demographic and economic factors (how much discretionary spend they have available). 

The Centre Growth Model takes these complex issues into account and converts them into three simple metrics to drive growth: 

  • getting existing shoppers to spend more 
  • getting existing shoppers to visit more frequently 
  • getting new shoppers to visit the asset 

By analysing geographic and demographic data, the model identifies the best growth opportunities. It compares client assets to benchmark retail locations to understand areas of over and underperformance, providing targeted guidance for leasing and marketing activities to achieve maximum impact. 

Results

By leveraging the Centre Growth Model, our clients can now confidently pinpoint customers and geographies that offer the greatest potential for growth in both turnover and footfall. This insight enables them to strategically focus their marketing efforts on high-impact zones, ensuring optimal return on investment whilst also avoiding unnecessary spend in less effective areas. 

Centre Growth Model - Mother and her child shopping together in a indoor shopping centre

Case study

Republic Technologies maximises ROI from its field sales team

Summary

Republic Technologies is a global consumer goods company with over 100 years of manufacturing history. In the UK, its products are sold in a multitude of retail settings including newsagents, supermarkets and convenience stores, and requires a traditional field sales force. Republic Technologies wanted to improve its operations and geographic deployment in the field to ensure it had the right people in the right place to optimise sales teams’ working patterns, growth and customer service.

Company size

100

Industry

Manufacturing

Products used

Challenge

Republic Technologies had a number of vacancies in its field sales team, but did not know the best places to recruit. Nor did Republic Technologies know whether it needed to fill all these vacancies. Could it scale the team back and still achieve its target call rate?

Republic Technologies’ territories were imbalanced, with some people working far more hours than others. The team was spending too much time driving. Republic Technologies wanted to optimise the territories to ensure that each person was working the same hours and maximise the time spent with customers.

Based on the anticipated changes to the territories, Republic Technologies wanted to provide each sales person with a plan of attack to help them get around their customers in the most efficient way.

Solution

CACI worked with Republic Technologies’ field managers to address these challenges. Using CACI’s proprietary InSite software, we started with headcount analysis and employed InSite’s travel time algorithm to understand the amount of driving the field team would have to make between calls. This helped to understand exactly how many hours the current team was working and what this would look like if the headcount changed. Based on these calculations the correct team size was established, giving Republic Technologies the confidence that it had struck the right balance.

From this optimised structure, CACI used its CallSmart route optimiser to deliver a set of efficient routes for each field sales rep.

Results

CACI’s work has allowed Republic Technologies to quantify the hidden work in a sales person’s day to truly understand the correct size of their field sales team. This ensured Republic Technologies was maximising the return on investment from this team.

The territory optimisation improved the balance of work across the team and reduced the amount of time spent driving. With this enhanced efficiency, Republic Technologies was able to focus its recruitment on better defined locations, filling vacancies more effectively in more targeted areas. Another benefit of this was a reduction in fuel bills.

The routing gave each sales person a daily sequences of visits that reduced the time they spent in the car and the time they spent planning.

Case study

How The Midcounties Co-operative use data-led decision-making for their location planning strategy

Midcounties Co-operative logo

Summary

The Midcounties Co-operative is a large consumer co-operative fully owned by its members, which operates the Your Co-op family of businesses. Founded in the mid-19th century to share goods and services at a responsible price in the community, the Midcounties Co-op presently operates from more than 230 food retail stores in the UK, largely across the West Midlands, Oxfordshire, Gloucestershire and Wiltshire. The organisation also trades nationally through the Co-op Pharmacy, Co-op Travel, Co-op Childcare, Co-op Energy and Phone Co-op businesses, as well as operating a funeral care business and Post Offices. Every Co-op business is built on robust ethical values designed to foster a strong business and community.

Company size

5,000+

Industry

Retail

Products used

Challenge

When Ross Lacey joined Midcounties in 2017, he stepped into the newly created role of Location Planning Manager. His task was to help the business grow through a greater focus on location analytics and data-led decision-making.

The team built some strong working relationships with developers and agents, but in order to continue to grow the new site pipeline in line with the ambitions of the business, they needed to adopt a more targeted approach.

This meant developing accurate and reliable spatial and geo-demographic modelling to understand catchments in the context of business objectives and performance.

Solution

CACI’s InSite tools and data provided the comprehensive information Ross needed to analyse the core trading area. He analysed mapping data and catchments in every village and town in the Co-op’s trading area, looking at existing stores, competition and demographics.

The model has been continuously updated since it was created, feeding in new data from CACI that reflects changes in catchments, communities and demographics. Ross and his team have also adopted new HTML mapping tools which make it easier to share links with colleagues around the business who request site and catchment information.

Working closely with CACI, the team has recently developed a suite of dashboards that present key information about store performance within a catchment in a visual format. These are automatically updated, so the most useful and comparative data is continuously available without the need to design individual reports. Ross is also impressed with the aesthetics of the dashboard output: “It’s important to me that data we share with colleagues is easy to understand and well-presented visually: the reports have been really well received and had an impact around the business because of this.”

Results

The InSite tools, dashboard and data have given Midcounties reliable evidence for new site investment prioritisation. According to Ross:

“The rigorous approach has built strong confidence in our pipeline of planned sites. As well, greater confidence in our sales forecasting has enabled us to be more aggressive in our rental offers as we compete with other multiples for the best sites. Since introducing the model into our new site appraisal process, we’ve seen strong and consistent performance from new sites.”

With the automated and visual reporting from the dashboard and well-defined catchment analysis processes, Ross and his team can work more efficiently and free up time to champion data-led decision-making in other areas of the Midcounties.

Case study

How Westminster Council uses mobile footfall data for evidence-led decision making

City of Westminster logo

Summary

Westminster Council approached CACI for support in harnessing the council-wide power of mobile footfall data. Research and Intelligence Analyst, Dr Curtis Horne states: “We have been getting our heads round how to use this massive resource for the first time. Having access to millions of rows of data is a huge amount in comparison to datasets we’ve previously worked with.”

Company size

5,000+

Industry

Non-Profit

Products used

Mobile App Data

Challenge

In 2020, Westminster Council became the first local authority to acquire mobile footfall data as a means for evidence-led decision making. The council is using it to monitor footfall in the city across time and space, analysing associated geodemographic information to differentiate between the activity of residents, workers and visitors.

The data has an exciting range of potential uses. But using such a large dataset posed a technological challenge.

Working with CACI, Westminster City Council’s team, led by Research and Intelligence Analyst Dr Curtis Horne, began to generate insights for different departments across the council.

Solution

Curtis Horne describes a recent project: “We’ve been monitoring changes in footfall relative to pre-COVID levels at different locations throughout Westminster, both in the interest of public safety and economic recovery. We can see, at a top level, how different demographic groups are returning and how their behaviour is changing, including tourists.”

The data reveals new opportunities and relevant audiences.

“Working with our campaigns and communications team, we’ve been encouraging households to come back to the West End for Covid-secure leisure and dining outdoors. We identified consumers with the means to do this but whose footfall has been below average recently. The #SightseeCrowdFree social media ad campaign in August used Acorn to target the Home Counties to resume their spending in the Westminster area, to help our hospitality businesses recover.”

Curtis and his team measured a 50% uplift in visitor footfall from the target areas, compared to uplift from other London boroughs of just 10%. “We could show we had spent wisely on the campaign, using a targeted approach to reach the right audience and achieve a good return. Going forward, we believe campaign recipients will be more satisfied with our communication, because they’re receiving tailored and relevant information.”

During the pandemic restrictions, Westminster City Council has also used footfall data to review the flow of pedestrians and traffic around the borough. Responding to patterns of travel and behaviour, the council has been able to apply effective social distancing barriers and direction systems on the streets, to keep visitors, workers and residents safe.

Results

What does the data deliver?

Curtis Horne says: “The dashboard we’ve created gives people across the Council an easy and relevant way to understand sophisticated data. It provides evidence for decision-making that helps us deliver better services and get the most value from our budgets, because we can act with confidence and target precisely.”

Case study

Optimised field sales team deliver double digit revenue growth

Summary

Perfetti Van Melle (PVM) is one of the world’s largest manufacturers and distributors of confectionery and chewing gum, headquartered in The Netherlands. PVM’s global brands are enjoyed in over 150 countries and include Mentos, Chupa Chups, Fruit-tella & Smint.

Company size

10,000+

Industry

Manufacturing

Products used

Challenge

Before engaging with CACI, PVM UK were manually planning their field sales territories and routes, which the management team knew was inefficient.

PVM wanted a tool to help grow their UK business, specifically in the independent channel where they had under traded in the past. Due to the unknown returns and instability in this market, they needed to drive efficiencies and savings in their current field team, rather than recruiting more headcount. Being more efficient would allow PVM to call on more stores in the independent channel.

Solution

PVM licenced InSite FieldForce, CACI’s resource planning and territory optimisation tool, to understand the utilisation of the current team, taking into consideration variables such as travel time, visit frequencies, in call times, and the additional visits to be made to the Independent channel.

The field sales territories were optimised to create workload balanced and drive time efficient territories for each field sales rep, built around their home locations.

PVM then used CallSmart, CACI’s route optimisation software, to optimise routes for their team. Planning with an algorithm gave them more control over the stores, and channels, the reps were visiting based on business strategy rather than ‘gut feel’.

Results

PVM were able to model multiple what-if scenarios prior to implementation which gave them the confidence that they could be impactful in the independent channel whilst maintaining appropriate call coverage to the multiples.

Using CACI’s tools, PVM minimised the risk associated with entering a new channel, without investing in any additional headcount. The efficiencies gained enabled PVM to make thousands of additional calls to the independent channel, resulting in a double digit increase in sales revenue across the field sales team.

CACI’s tools are used by PVM on an ongoing basis to maintain efficiencies and immediately respond to change. Optimised call schedules integrate with their retail execution solution providing reps with visibility of their calendars allowing the team to be more agile.

Learn more about FieldForce and CallSmart.

Case study

Nestle Gets Greener by Reducing Rep Miles

Nestle Logo

Summary

Nestlé’s sales operation in the Oceania region encompasses Australia, New Zealand, and the Pacific Islands. Nestlé Oceania employs more than 5,000 people in over 70 offices, factories and distribution centres strategically located across the region, promoting and distributing brands including many household names, such as Nescafé, Nesquik, Milo, Maggi, Carnation, Kit Kat, Aero, Smarties and Soothers.

Company size

10,000+

Industry

Manufacturing

Services used

Products used

Challenge

It had been many years since a comprehensive review was performed on Nestlé’s field operations, and they were keen to ensure that it was run in a more efficient manner.

Nestlé also wanted to understand what the best service model looked like through a bottom-up build of the work required to be undertaken, ensuring the right resources were delivered to the right stores at the right time. The aim was to arrive at a final strategic solution that delivered great service for Nestlé’s customers, but in a way that ensured that sales reps were given challenging, achievable workloads and also spending considerably less time stuck behind the wheel of a car. As a respected corporation, with a stated commitment to environmental sustainability, minimising the environmental impact of the salesforce was also of great importance.

Solution

Nestlé Australia, worked with the team at CACI, initially on a consultancy basis, to perform two major pieces of work.

The first was to create the ideal territories for the sales team, determined by various sets of criteria. This was not just about benefitting from the sophisticated optimisation algorithms within CACI’s headcount analysis and territory optimisation software, InSite FieldForce, but also then engaging in interactive workshops with CACI’s experienced consultants to achieve a final solution that was efficient, but also addressed the challenges of some important business considerations.

Once the territories had been identified, CACI’s routing software, CallSmart, was then utilised to develop the most efficient routes to service the stores.

Nestlé were impressed by the speed and efficacy of the CACI solutions and team of experienced analysts. Knowing that their market was always prone to change, Nestlé took a decision to license the software to ensure they could maintain the level of efficiencies gained in the initial phase.

Results

Through a combination of the software and consultancy support from CACI, during both the initial project and ongoing use of the licence, Nestlé were able to rework their territories to give field staff: 

  • More productive time in store 
  • Less unproductive time in the car
  • Territories that were closer to home

Subsequently, Nestlé has been able to significantly reduce its carbon footprint, through a large reduction in the kilometres travelled by the field team. Nestlé estimate this to be around 1.7 million kilometres less per year, which equates to roughly 42 laps of the world, or 90 million party balloons less CO2 being emitted.

Find out more about FieldForce and CallSmart.

Case study

Agile Field Force planning for Lawrence Merchandising Services

Lawrence Merchandising Services logo

Summary

Lawrence Merchandising Services (LMS) is a full-service retail merchandising organisation with experienced field staff across all 50 US states and Canada. The firm is committed to increasing sales and profits for clients in many respected retail brands by delivering in-store solutions for their merchandising needs.

Company size

5,000

Industry

Manufacturing

Products used

Challenge

LMS noticed strong growth in its retail merchandising activities, and from a base of long-standing traditional retail accounts, the firm decided to expand and seize new opportunities. However, with increasingly more retailer accounts across the US and Canada to consider as part of this expansion, the firm needed a solution that would help them better understand their clients’ businesses to deploy field teams efficiently and continue delivering great service.

Michael Terpkosh, Director of Data Analytics at Lawrence Merchandising Services, explains: “Before this, LMS had limited technology resources for field force planning. Say if we were bringing on a new client with 5,000 stores, we would have used Google maps to put pins against their locations, then compared it to a map showing where LMS already had reps working. It was not efficient and didn’t give us multiple scenario modelling or optimisation capabilities.”

Previously, LMS matched the incremental growth of its long-standing customers over time, adding more reps as needed. Michael adds: “With one of our new accounts, we service over 16,000 stores a month. At that level, we needed structured guidance and support with the complex task of refining overlaps with other reps and retail stores. We had to expand our network of field reps quickly but it was vital to do it accurately, investing in the right places to service existing customers and new business.”

Solution

“We chose InSite FieldForce because we could not find any other solution that could handle our volume of business across every US state,” says Michael. “We felt this was the only application that could accommodate our scale and continuing growth.”

InSite FieldForce supports LMS’ move from a traditional merchandising company to a fast-growing, digitally-led business with headroom for further expansion. The solution has enabled LMS to change its approach, moving towards more territory-based reps rather than recruiting for particular accounts. This helps LMS operate more efficiently, with reps working in the area where they live and servicing multiple clients.

The solution is now embedded in LMS’ business processes, from onboarding new clients to continuously reviewing and optimising the deployment of existing reps across the US. CACI’s InSite FieldForce integrates with other software from another provider, giving LMS strong analytics capability across its entire field operation. LMS uses CACI’s InSite FieldForce along with Movista’s Natural Insight software to run LMS Client Services and Operations, enhancing field team performance.

The benefits extend beyond internally and operationally. “We expected to keep InSite FieldForce behind the scenes and use it to optimise our planning. But we’re also using it to demonstrate our capability in RFPs, showing clients the capabilities that we have to work in the field with a widespread account,” Michael explains.

Results

“[InSite FieldForce] helps us with client retention – they know we can adapt and refine our team to match the evolution of their business,” Michael continues. “[During] the pandemic, we had to be more nimble and flexible. When clients have needed us to help them retune their store calling programmes, we’ve been able to do what-if analysis to show the impact of changes to coverage or visit frequency. Clients know we have the tools and expertise to work with them to optimise their approach.”

Using InSite FieldForce at proposal stage means LMS can ensure that new engagements will be profitable. “We typically get a list of stores to be serviced and their addresses – we can plot out the stores and model their estimated service requirements against our existing reps’ locations. That shows us how we’ll need to change our field force – who to add and how to optimise our existing people,” Michael says. “We can predict the costs of recruitment and on-boarding for a new account.”

LMS’ field-based employees have also reaped the benefits. “In the current employment market, some reps are nervous about working on just one or two accounts – they’d rather work with multiple accounts and work more hours. InSite FieldForce means we can optimise our workforce to give people those opportunities,” Michael continues. “We want to hire great reps who will be motivated in their work: it’s a virtuous circle as clients then get high quality representation from committed, expert people.”

Case study

How InSite helped Knight Frank navigate real estate & capital investment

Knight Frank logo

Summary

For over 20 years, Knight Frank has partnered with CACI to achieve a long-term vision of becoming the world’s leading independent property advisor. Knight Frank works with various industries and businesses on their property and location planning strategies. Accessibility to reliable and accurate information to successfully serve clients and the ability to build authority as a market leading commercial agent have remained at the business’ core throughout.

Despite Knight Frank’s wider recognition for its work within residential property, the business is evenly split between residential and commercial real estate. In recent years, the general climate surrounding realty has become increasingly challenging, with macroeconomic conditions weighing heavily on this industry globally, particularly in terms of capital market investments. To manoeuvre these challenges, Knight Frank has been using CACI’s GIS software, InSite, along with various CACI datasets such as Acorn, the UK’s leading geodemographic segmentation tool.

Company size

10,000+

Industry

Property

Products used

Challenge

Knight Frank’s primary challenges have been twofold:

Determine how to navigate ongoing global uncertainty in the real estate industry.

Handle volatility in capital investment markets.

Stephen Springham, Head of Retail Research at Knight Frank, elaborated on the impact that these challenges have had on the business.

”Capital market investment is key to real estate markets and obviously that is probably at the sharpest end of economic sentiment,” Stephen explained. “Investor sentiment isn’t sky high at the moment, so that is probably the biggest barrier we have to overcome, although we’re probably not radically different from most global companies in that regard.”

Solution

CACI’s InSite software has significantly supported Knight Frank’s business endeavours through both the nationwide insight from Acorn, as well as the shopper understanding from the machine-learning catchment model, Retail Footprint. “It’s a window to the world of data. A lot of those datasets are bespoke and unique to CACI,” Stephen shared.

Additionally, CACI’s business consultancy solutions and thought leadership have been supporting Knight Frank in improving their overall business functions by supplying the business with the necessary tools to effectively advise retailers and support due diligence regarding buying and selling within the capital market.

Results

According to Stephen, there has been a noticeable uptake across the business in data usage, with several transactions on shopping centres Knight Frank completed over the course of last year that were achieved thanks to the support of CACI’s data and InSite tool.

One of the business’ recent and most notable acquisitions came in 2021, with Knight Frank acting for Redical in the purchase of the Victoria Gate/Victoria Quarter Shopping Centre in Leeds. This £120-million deal was executed in part through a deep dive of data provided by CACI’s InSite tool.

While Knight Frank continues to have an open dialogue with CACI on any new developments or datasets that could continue to support the business’ initiatives, CACI’s InSite and data have created a notable foundation.

Case study

How Imperial Tobacco improved efficiencies in field sales operations & achieved 100% coverage

Summary

Imperial Brands PLC is a multi-national tobacco company headquartered in the United Kingdom. They are the world’s fourth-largest international cigarette company measured by market share and the world’s largest producer of cigars, fine-cut tobacco and tobacco papers. They produce over 320 billion cigarettes per year, have 51 factories worldwide and their products are sold in over 160 countries. Their brands include Davidoff, West, Gauloises Blondes, Montecristo, Golden Virginia, Drum and Rizla.

Company size

10,000+

Industry

Manufacturing

Products used

Challenge

The UK tobacco category, in which Imperial Tobacco (ITL) is a leading manufacturer, is frequently affected by shifting legislation. Looking to the future, ITL realised it needed its salesforce to be even more flexible, agile and able to adapt quickly to this constantly evolving market.

A comprehensive review and analysis of existing coverage strategy suggested the potential to further improve efficiencies and field sales operations.

Moreover, through adjusting their approach to coverage, ITL would be able to reach out to more retailers, more often, more efficiently and with greater cost-effectiveness.

Solution

CACI’s consulting capability formed an integral part of the planning processes, helping ITL provide exceptional clarity and direction to both their salesforce and customers throughout what was a demanding and time-critical project.

In terms of software, Imperial Brands relied heavily on CACI’s InSite FieldForce and CallSmart solutions throughout the process. InSite FieldForce’s sophisticated headcount analysis and territory optimisation functionality, coupled with CallSmart’s efficient routing technology enabled ITL to implement best-practice coverage and routing principles without significantly impacting upon their existing sales resource.

ITL performed the review in-house, following software training by CACI and ongoing telephone support during the process.

Results

Working with CACI has allowed Imperial Tobacco to deliver a step-change in both their service proposition and key performance indicators, as well as setting a benchmark across the wider business.

The shape of Imperial’s salesforce evolved significantly in 2016-17, resulting in huge business benefits. More calls were made in the right outlets; in fact, for the first time, they achieved 100% volume coverage to independent retail partners.

Imperial Brands can now also ensure sales objectives are achievable, measure performance with greater accuracy and – perhaps most crucially – adapt in a far more agile manner if and when future changes are needed.

The success of this review has now encouraged Imperial Tobacco to adopt the CACI solutions in numerous additional countries.

Case study

How Clear Channel supports its customers to understand their audience better

Summary

Clear Channel approached CACI for support in differentiating customised out-of-home advertising solutions for their clients.

Company size

1,000+

Industry

Media

Products used

Challenge

Clear Channel needed data insight that would help them assess the opportunity for out-of-home advertising and campaign planning for clients. They wanted to understand the audience for each of their advertising sites and be able to convey this to clients, to evidence the value and relevance for their brand or campaign.

Advertisers may book individual poster sites, or selected groups of sites, or a full national campaign, depending on their aims. Lindsay Rapacchi, Insight & Research Director at Clear Channel, explains: “To help our customers achieve engagement and sales, we focus on two approaches: brand and activation. Branding solutions aim to prime all potential market buyers with positive brand associations. This requires maximum reach, priming as much of the potential market as possible.”

Develop an understanding of the different audiences

Need insights driven by data in order to assess opportunity

Be able to evidence value and relevance

Solution

CACI provided Clear Channel with the InSite system, populated with gravity models and granular data that measures and categorises the movement of people and transactions by brand and demographic.

Clear Channel uses this to filter its full list of poster sites to produce a relevant and effective target set for each client campaign. The outputs are displayed on web-based interactive maps, to help the client visualise the campaign and how its reach could support their marketing goals.

Results

Lindsay says: “We’ve been working with CACI for over four years, accessing consumer profiling and spending information and retail footprint through the InSite system. Our campaign planning team uses the system every day to identify sites and plan where our clients should put their ads.”

Business women, laptop and happy team in office for web design, collaboration, and training for customer service.

Case study

How Roche diversified international clinical trials through demographic and health variable data

Summary

For international pharmaceutical and diagnostics company, Roche, a core function of the organisation is the running of clinical trials for regulatory approval of new medications. In particular, the insights and analytics team is involved in supporting late-stage trials by identifying the most appropriate hospital locations and clinical trial patients for these trials across countries, to enable the most effective recruitment process.

Company size

10,000+

Industry

Healthcare

Products Used

Challenge

Diversity

Historically, clinical trial populations have often differed from the populations that use the medications, resulting in clinical trial patients being predominantly Caucasian and coming from more affluent socioeconomic backgrounds.

Regulation

Regulations are evolving and regulatory agencies are driving a new view on diversity and inclusion in clinical trials.

Data

Lack of data availability, legal barriers, data collection and protection and privacy issues are all common hurdles in clinical trials, especially in Europe.

Solution

By working with CACI, Roche’s insights and analytics team has used a combination of demographic and health variable data within CACI’s analytical and mapping tool, InSite, to determine locations that would best suit the recruitment of more diverse populations for clinical trials in five European markets.

With diversifying clinical trials being the team’s goal, the key variables it needed to understand included ethnicity, deprivation, education attainment, economic status, rural versus urban, smoking, pollution and other disease risk factors. CACI developed bespoke models for these variables by combining key demographics such as age, income and gender with survey data on a country-by-country basis to generate models at a postcode level for each of the required countries.

Results

Roche’s insights and analytics team has benefitted from CACI’s bespoke model and expertise, delivering the model to the team and providing training on how to use it. The team has since been able to use data-driven decision making to tackle any clinical trial strategy obstacles versus relying on assumption.

Having previously worked with CACI on smaller, UK-focused projects, the ability to now take this bespoke model to scale so that it can be accessed across other countries has augmented Roche’s diversity strategy. The team has been particularly pleased by CACI’s quick data generation and innovation in terms of modelled data from survey data sources.

Case study

How Monkey Puzzle enriched their customer insight with accurate demographic data

Summary

Monkey Puzzle is the UK’s largest day nursery franchise network, with over 60 nurseries nationwide. For over thirty years, the Monkey Puzzle team has worked closely with parents, staff and Ofsted to deliver childcare of the highest quality, providing children aged three months to five years with unlimited opportunities to learn, develop and grow within a safe, secure and caring environment.

An award-winner in the 2020 Day Nurseries Top 20, Monkey Puzzle is growing strongly. It’s always looking for new franchise sites and opportunities, led by a dedicated head office team. Monkey Puzzle also operates a handful of day nurseries directly, providing a benchmark of best practice for franchisees.

Company Size

1,000

Industry

Education

Products Used

Challenge

Understanding the opportunities in franchise locations with enriched local customer insight. Sophie Hailey, Monkey Puzzle’s Franchising and Property Acquisitions Associate, explains:

“Before we engaged with CACI, when we were looking at a new site, the only demographic research we would do was competitor analysis. We would type the site postcode into the OFSTED website and look at comparable sites in a five mile radius. We would mystery shop them to find out about what they offered, the fees and waiting lists, to help us establish a suitable proposition and pricing for our potential new nursery.”

“When you visit a site, you can get a good feel for a location. This is really important, as is the competitor research, but we needed more information and evidence to back up our decisions, as our network expands. We wanted to give our franchisees confidence as well as committing to the right sites for our model. The more relevant insight we have, the better our decisions can be.”

Solution

Sophie talked to CACI about Monkey Puzzle’s franchising and the kind of information that was important in her decision-making process. Acorn and InSite reporting would give Sophie and the team access to valuable customer demographic and local market information to enrich their understanding of new and existing sites and opportunities in the local area. She explains:

“The site reports we generate help us to narrow down potential sites quickly – we look at a number of factors about the catchment that tell us whether it’s worth investigating a proposed site further. We can see how close it is to existing sites, so we can avoid cannibalisation, as well as how strong the customer demand might be in the local community and workforce.”

Results

With InSite and Acorn, Sophie and her colleagues have a clear, shared knowledge base that informs the franchise development process with consistent and up-to-date customer and location information.

As the first person in the decision process, Sophie saves not only her own time, but that of colleagues. “For some sites, it’s an obvious yes or no, but sometimes the decision is more difficult,” she shares. “A lot of properties proposed to us are undifferentiated. With decisive information upfront, I can avoid setting lots of people off to do work on a site that’s more likely to fall through.”

The maps mean Monkey Puzzle can take a more proactive approach to franchise searches. “We can identify gaps in our coverage areas and prioritise those with the most promising customer mix in the catchment,” she continues.

Working with new franchisees, Sophie can show them information about the types of household and persona that comprise most of Monkey Puzzle’s customers. It helps them understand who they’re catering for, where they live and what matters to them when the new franchisee is planning services and communication.

Find out more about Acorn and InSite.

Case Study

How CACI helped The Harlequin Group improve site search process

Harlequin Group Logo

Summary

The Harlequin Group approached CACI for support in speeding phone mast site searches using HERE mapping from our data.

Company size

200

Industry

Telecommunications

Services used

Challenge

The Harlequin Group, a consultancy specialising in planning and site acquisition for organisations in the telecommunications and public utility sectors, carried out the geocoding of potential locations using open-source mapping in conjunction with various other data layers, but found that the results were not always as precise as it would have liked. 

Improving result precision

Use of various data layers

Solution

Harlequin now uses HERE satellite imaging, terrain and hybrid map layers when conducting site searches. “The satellite imaging is particularly useful,” Simon says. “It’s always important for us to discover land ownership, and HERE is invaluable in displaying context. The clear detailed images make it much easier to see the precise location of possible sites.”

The searches are conducted by means of map references; then the map layers can be turned on or off to display the right details.

Results

The company has significantly sped-up and improved the accuracy of its site search process since using the HERE digital mapping and location intelligence platform supplied by CACI. The HERE location platform offers detailed, online street-level mapping, aerial photography and geocoding across the world. Maps and postcodes are constantly updated so that the latest data is always available and ready to be integrated into users’ own applications. CACI is one of the longest-standing distributors of HERE mapping, and has extensive experience in specifying and configuring the most appropriate HERE products for individual customer requirements. Harlequin specialises in conducting searches on behalf of organisations such as mobile phone networks seeking new sites for masts or other equipment. It has also been involved in research for a Government initiative to fill in “not spots” where mobile phone signals are very poor. 

Following criteria specified by its customer, the company identifies possible sites within a chosen area – which might typically cover 2km – and then checks to find out whether that area has any features that might prevent the installation from going ahead. 

Testimonial

We decided that the HERE platform looked like a much better alternative, and when we approached the HERE people, they referred us to CACI as the distributor. The recommendation paid off, because the CACI team has turned out to be really helpful and supportive, and even provided the system to us for a month’s trial.

Simon Mitchell

Harlequin Group

Case study

How Earls Court Development Company use data to help inform a new neighbourhood

The Earls Court Development Company logo

Summary

The Earls Court Development Company (ECDC) has a vision to bring the wonder back to Earls Court. Their latest proposals demonstrate how Earls Court will be put back on the map, re-emerging as a destination to discover wonder, an ecosystem for creative talent and a showcase for one of the fastest growing industries in the world – clean and climate tech. The masterplan includes 4,000 new homes, 12,000 jobs, culture, community, retail, dining and leisure. 60% of the land is unbuilt, maximising open spaces and opportunities for nature to thrive. The site will have a series of cultural venues, alongside a commercial campus creating a global destination for clean and climate tech research and skills. Sustainability will be the green thread, with one of the largest zero-carbon energy loops in the UK powering the site. A hybrid planning application will be submitted this summer and the first phase will commence in 2026. 

Company size

50

Industry

Property

Products used

Challenge

Understanding how current plans would impact the local market, what retail opportunities should be created and how to create a robust masterplan that would address these factors, despite London’s complex market and a high amount of local competition. 

Gauging customers and audience — who is already here, what they do, what they need and where they go — in relation to other large-scale central London developments and regeneration master plans in King’s Cross and Battersea.

Prior to partnering with CACI, the company solely relied on qualitative data to understand peoples’ perceptions and inform their decision making, such as speaking to people within the community and stakeholders.

Solution

ECDC was keen to ensure that an optimised neighbourhood would be created for residents both within and outside of the development along with workers and users of the space. To achieve this, CACI interpreted and analysed raw data and numbers for the company, bringing them to life and narrating the results through comparable’s and benchmarks.

Results

Newfound understanding of the ‘size of the prize’ of wider London and tourist demographics and audiences. ECDC historically relied on gut instinct when it came to decision making, but working with CACI ensured they were backed with concrete evidence. For example, CACI’s data showed that one-third of the total potential spend in the development area could come from out of catchment.

Enhanced decision-making through evidence-based data on the community. With the development situated across both the London Borough of Hammersmith and Fulham and the Royal Borough of Kensington and Chelsea, their perceptions of the surrounding community to inform decision-making — while strong — are now rooted in evidential data. This has served to alter their perceptions to ensure that a comprehensive understanding of residents and borough dwellers can be met and their audience narrative can be shaped accordingly.

In the coming years, CACI will continue to support ECDC in the data-backed planning and construction of residential units, retail landscape and office space development.

Case study

How Crisis developed a new retail strategy with InSite’s powerful datasets

Crisis logo

Summary

Crisis approached CACI for support in identifying new charity store locations and analysing current store performance to support future decision making.

Company size

1000

Industry

Non-Profit

Products used

Challenge

Crisis wanted to learn from the performance of its existing stores in their different catchments, so it could identify success factors to inform future location choices. As well as understanding the characteristics that contribute to strong store performance, Juliet and her colleagues wanted to know about the halo effect – whether the shops’ presence made an impact on other donations, e-commerce, volunteering and lobbying in their local communities, and how they could maximise these positive outcomes in new store catchments. 

The Crisis team approached CACI because they had heard about the Acorn categories and catchment tools and saw their potential to provide the evidence needed to develop a new retail strategy. 

Analysis and learn from existing store performance

Identify success factors to inform future decision making

Understand characteristics that contribute to strong store performance

Solution

Juliet met with CACI to explain the information Crisis hoped to discover to build their retail strategy. The CACI team requested the existing store and performance metrics they needed from Crisis and proposed a list of deliverables they would generate, using Acorn demographic profiling and InSite catchment analysis overlaid on the Crisis data.

“The timings were quite tight, but the CACI consultant was quick to get back to us with a preliminary report that we could share with the senior management team to demonstrate the value of the approach. CACI followed up with a complete report and a clear explanation of the methodology used. There were spreadsheets of data and analysis by site that we could look at in granular detail. All the deliverables were well designed and easy to use – we could augment our data as more emerged, keeping the insights complete and current.”

Results

Juliet and the retail team now have the confidence to look both within and outside London for new store locations. They can work with a prioritised list that’s based on potential measured from existing store experience, catchment and customer profiling and a broader appreciation of the total opportunity for Crisis from all activities influenced by the store’s presence.

Couple looking at new mobile phones in a shop with sales assistant showing explaining to them about the products

Testimonial

“CACI were consistently good at explaining what they did with the data in a way that we could easily understand – they translated their sophisticated models and methods into up-to-date insight that we could use with confidence for retail strategy decisions, plans and actions. The CACI experts fitted well with our culture and way of working and did a brilliant job at meeting tight deadlines.”

Juliet Davies

Project Manager, Crisis

Case study

CACI brings data to life for Certas Energy

Certas Energy logo

Summary

Using map-based data visualisation with CACI’s Geoxploit suite to give Certas Energy a clearer view of sales performance and market trends.

Company size

10,000+

Industry

Utilities

Services used

Challenge

Certas Energy, the UK’s largest fuel distributor to consumers and industry needed mapping that is in tune with the times, and they were keen to work with a partner who not only offered the software they wanted, but would also provide training and ongoing support to ensure they get the optimum benefit from their investment. 

Solution

The company reports a dramatic improvement in the ability to plot and analyse sales performance and trends visually since starting to use the Geoxploit suite from digital mapping and geospatial data specialist allmapdata from CACI. 

Geoxploit, a cost-effective, powerful and easy-to-use mapping analysis tool, has been created by allmapdata to give users a flying start in performing striking and meaningful location-based analysis. At its core is Geoconcept, one of the world’s most widely used geographic information systems. This is backed by a selected range of data that makes possible a variety of key analytical processes out of the box, along with a variety of pre-configured analytical processes.

Results

“Geoxploit makes it really easy to import our own data,” says Samuel Bradford. “Inevitably there were initial challenges, but a day’s training at allmapdata got us going, and since then the allmpadata team has been endlessly supportive. Nothing seems to be too much trouble for them.”

He says Geoxploit’s visualisation capability is invaluable in building internal presentations, helping both with tactical decision-making and in planning and formulating policy. Results of analysis can be colour-coded or otherwise differentiated on a map in ways that are much quicker to assimilate than columns of figures.

“For example, we can analyse the way different fuel types are selling in different parts of the country. We can plot areas where our sales volumes are changing, either looking across the whole business or focusing on different product types. We can drill right down to postcode area level to check whether sales performance is mirroring our strategy, or whether we need to modify it.”

Such has been the impact of Geoxploit’s visualisation capability, Samuel says, that it has raised the level of expectation within the company.

Female engineer conducting an onsite inspection of a solar farm in front of solar panels behind her

Testimonial

Geoxploit’s ability to present data in a map-based context really brings it to life. We’ve never had access to this kind of visualisation before. It’s so much easier to convey growth or change in market performance vividly on a map than in text and figures.

Samuel Bradford

Marketing Analyst, Certas Energy

Case study

Delivering data & insights to provide Bright Horizons with a new approach to childcare

Summary

Trusted by families to look after their children for over 30 years, Bright Horizons is an award-winning nursery provider. The company operates over 300 community and workplace nurseries throughout the UK — each is individually designed to serve the needs of its community. Bright Horizons provides tailored childcare for corporate clients and for families, at home, at work and in local settings.

Company size

10,000+

Industry

Education

Services used

Products used

Challenge

Bright Horizons initially approached CACI for data to support their new site opening and acquisition insight programme.

Reliable data that was quick and easy to interpret for new site and location decision making was needed

Access to demographic data to support proposition development

Gain a better understanding of existing potential catchments

Solution

CACI provided Acorn demographics, profiling and mapping, giving insight into specific postcodes and communities. High-level demographic maps are instantly visible in InSite’s Locator tool.

Marketing Manager Eddie Thorogood explains: “The blend of data creates reliable and up-to-date information about the demand for our services, to support decision-making about how and where we can expand our operations so we can deliver high quality childcare where it’s needed. It also helps us improve our business model, so we can manage our portfolio and flex and balance our sites to meet changing needs.”

Results

Bright Horizons’ three pillars are ‘people, quality, growth’. Eddie explains, “We’re not about just growing for the sake of it. We always want to be where we are needed – where parents can find us and our services will be useful. With this data insight at local level, we can provide a clear picture of community and workplace need to our senior leadership team, so they can sign off new facilities.”

Learn more about Acorn and InSite.

Solutions

Demographic data

Know your markets inside out 

Working across international markets often raises challenges with varying quality and granularity of data, making it difficult to consistently assess locations at sufficient granularity.   

By standardising population data to a universal H3 hexagon-based geography and using techniques including satellite imagery analysis in combination with other spatial datasets and market research we create data that allows you to be consistent and robust.    

This detailed data on population and demographics, including classifications such as Acorn enables you to enrich your understanding through market research, spend and mobility data. Ensure you can assess opportunities quickly, accurately, consistently and make your decisions based on an understanding of the consumer.   

Demographic data - Person in a coat carrying shopping bags on a busy street with lots of people.

Scale opportunities 

Understand the value of the market or geographical area in a granular and consistent way. 

Target rollouts 

Have all the information you need to target successful rollouts of stores, ranges, offers and services. 

Improve success 

Ensure your stores and services have the best chance of success in their market or location.  

Where problems are solved 

Well-developed strategies start by understanding the demographic data

Choose locations confidently 

Get a clear picture of the demographic make-up of a local area in any major world market. Assess new or existing locations and markets. 

Size opportunities 

Locate where the best opportunities lie for your offers, services and propositions. Size and rank markets and locations accurately.  

Measure potential 

Get the data you need to make accurate predictions for particular areas. Assess the level of opportunity an area may offer your business. 

Improve engagement 

Communicate more effectively with your customers. Use customer insights to adjust messaging and communications.  

Tailor offers

Customise your offers and services according to consumer characteristics. Adjust your offering to different consumers in different areas. 

Improve processes

Streamline your marketing processes. Make it easier to profile your customer base, create customer segments and define key messages.  

Testimonial

“The innovative approach with CACI was something we couldn’t find anywhere else.” 

Jonathan Wharton

Portfolio Analytics Manager, Roche

We bring our expertise to you  

Why leading organisations use our demographic data solutions 

More successful 

Calculate potential performance in existing and new markets, locally and internationally.  

More insightful 

Increase understanding of consumer behaviour in different geographical areas. 

More efficient 

Speed up customer profiling, segmentation and messaging.  

Awards & accreditations

Speak to one of our demographic data experts

We’re tried and trusted in this industry and have been involved in demographic data for decades. At CACI, we want to support you in transforming your business.
  
If you’re looking for a demo, want to book a consultation, or both – we’re ready to help you cut the complexity out of data. 

FAQs

Answers to common questions about demographic data. 

Yes, we work in every major market in North America, South America, Africa, Asia-Pacific, Europe and the Middle East. 

Solutions

Location data

Gain local insights globally

Location data is an increasingly valued part of data science toolkits right across businesses everywhere.  Understanding location has relevance far beyond property and planning with relevance for ranging, marketing, operations and more.  

At CACI, we are experts in spatial data.  We have off-the-shelf products and create new datasets daily for clients across the globe. Whether it is to understand the population, market or physical make up of a city anywhere in the world, we can help. 

Location data - Red brick terraced houses and a tree on the left.

Understand how people interact with places

Gain a broad picture of how local areas tick, from detailed population and demographics to the retail and commercial landscape. 

Granular insight 

Ensure you have the right level of detail that you need. Our agile approach allows us to create data at detailed levels in any market to make sure you can answer all the important questions.  

Global approaches with local nuance

Consistent geographies and datasets that allow you to standardise approaches whilst still reflecting differences between markets. 

Where problems are solved

Location data solutions that support strategic decision-making

Granular population

Access global population estimates at a detailed geography.  

Demographics and segmentation

Assess income, life stage and lifestyle through data – with off-the-shelf and bespoke segmentations. 

Retail or market landscape 

Assess the opportunity provided by the market e.g. retail centres, premium to value positioning, centre strength, type, catchments and catchment overlap – globally.   

Points of interest 

Locate businesses, services, transport hubs and destinations that will shape the opportunity in a location. 

Mobility and footfall 

Understand footfall patterns by time of day, day of week, demographic and catchment.

Road network and traffic 

Get an in-depth understanding of detailed road networks, travel times and traffic levels. 

We bring our expertise to you  

Why leading organisations use our location data solutions 

Unique data products 

The widest range of consistent, off-the-shelf datasets designed and built to support decision-making.

Expertise with creating and developing data  

We have the largest team of experts blending, improving and using AI and deep-learning techniques to develop new data and intelligence. 

Global capabilities

Our data capabilities, methodologies and products extend right across the globe. 

Awards & accreditations

Speak to one of our location data experts

We’re tried and trusted in this industry and have been involved in location data for many years. At CACI, we want to support you in transforming your business.
  
If you’re looking for a demo, want to book a consultation, or both – we’re ready to help you cut the complexity out of data. 

FAQs

Answers to common questions about location data. 

Key features of location data include detailed population demographics, income levels, and life stages, as well as insights into the retail and commercial landscape. It also provides information on footfall patterns, mobility data, road networks, and traffic levels. Additionally, location data helps identify points of interest such as businesses, services, and transport hubs, offering a comprehensive view of market opportunities and consumer behaviors.

Location data helps locate other businesses, services, transport hubs, and destinations that shape the opportunity in a location. This information is valuable for businesses looking to understand the competitive landscape and identify potential partners or collaborators.

Location data helps businesses gain a broad picture of local areas, including population demographics, retail centers, and commercial activities. This understanding allows businesses to assess market opportunities and make data-driven decisions about store locations and marketing strategies.

Solutions

Footfall data 

Real insight on the movement of people 

Get a better understanding of a location, by knowing who is there and why by time of day, day of week and seasonally.  Acorn coded data derived from mobile phones allows you to understand how locations tick.  This insight allows you to ensure you offer the right range, format and services for that location and can find the locations that are the best fit for what you offer.  Available as off-the-shelf data for the most commonly used locations or bespoke for the specific locations you are interested in, there is a wealth of insight to be found to answer your questions.  

Footfall data -Busy city street with people walking, tall buildings, and cars in the background.

Need to assess a location? 

Quantify the opportunity a location offers accurately. 

Need to find places to target? 

Discover locations that fit your products and services. 

Want to drive more from your existing locations? 

Tailor your offer to fit the missions and consumers happening in that location.

Where problems are solved 

Footfall data solutions that lead to better outcomes 

Discover your options

Study potential sites for your stores and activities. Make accurate data-led comparisons between locations to see which will be profitable. 

The right place, the right time 

Understand when a location is busy and why people are there. Ensure you are set up to deliver exactly what people want at any point in time. 

Predict opportunities 

Forecast the levels of opportunity at different locations. Use this data to feed into your sales forecasting algorithms. 

Perfect your marketing 

Get your marketing messages on point every time. Tailor messages to fit the location, consumer, time of day and day of the week. 

Outflank competitors

Understand your competitors’ activities and strategies. Get reliable knowledge about their catchments and customers.  

Stay compliant

Be assured the capture of mobile app users’ longitude and latitude data using location-based services is fully compliant with GDPR legislation. 

We bring our expertise to you  

Why leading organisations use our footfall data solutions 

Objectivity 

Acorn coding enables the removal of bias. You can also bridge across to spend data and market research data. 

Convenience 

The data is available off-the-shelf for different locations. Or it can be processed to cover a range of locations. 

Scalability 

Data is available for major markets across the world. You can scale and apply the data insights you acquire anywhere. 

Awards & accreditations

Speak to an expert about footfall data solutions

We’re tried and trusted in this industry and have been involved in footfall data solutions for decades. At CACI, we want to support you in transforming your business.
  
If you’re looking for a demo, want to book a consultation, or both – we’re ready to help you cut the complexity out of footfall data.

FAQs

Answers to common questions about footfall data. 

Using footfall data offers businesses several benefits, including accurate location assessment by analysing consumer movement patterns, targeted marketing by tailoring messages to fit specific times and locations, and gaining insights into competitors’ activities. It also aids in sales forecasting by predicting opportunities at different locations, optimises store performance by understanding consumer needs, and ensures compliance with GDPR and CCPA regulations.

Footfall data provides valuable insights into competitor activities by analysing their locations, catchments, and customer behaviours. This data helps businesses understand where competitors are drawing their customers from and how they are performing in different areas. By gaining this knowledge, businesses can develop strategies to outflank competitors, target underserved areas, and improve their own market positioning.

Footfall data is fully compliant with GDPR and CCPA regulations. The data is collected using location-based services that capture mobile app users’ longitude and latitude data in a manner that adheres to strict privacy standards. This ensures that businesses can use footfall data to gain insights into consumer movements and behaviours without compromising user privacy. Compliance with these regulations not only protects consumer data but also builds trust with customers, ensuring that businesses can leverage footfall data responsibly and ethically.

Solutions

Consumer spend data

Vital insight into your markets

Use data-led insights from real spend data to better understand your markets.  Assess market share and spending patterns within the local catchment area of your brands and named competitors.  Study trends by demographics and channel.  Assess the impact of change, monitor market changes and spot where new opportunities lie. Make smarter decisions by having all the information needed to create successful strategies.  As it is coded with Acorn, we can adjust for bias in the data, ensuring it provides a true reflection of the market. 

Consumer spend data - Two people sitting at an outdoor cafe table, each holding a cup

Want to understand how you are really performing? 

Get a true picture of market share and how your performance compares to others. Quantify market sizes and demand. Spot the opportunities. 

Understand customers? 

Identify opportunity groups by understanding overall spend with different operators, transaction value and frequency by demographics and within local geographies. 

Need to measure the impact of change or channel interactions? 

Study the impact of retail activities and new site openings. Identify the best groups and retailers to target.  

Did you know?

25%

boost in local online sales following an update to Zara’s Liverpool ONE store.

Source: CACI

Where problems are solved 

Consumer spend data solutions that lead to better outcomes

Understand your performance

Understand exactly what is happening in your markets. See how your performance benchmarks against your competitors.  

Focus on the consumer

Build profiles of your customers and those of key competitors. Get a clear picture of consumer behaviour using our customer level data. 

Find headroom 

Size markets and see where you can grow your share. Identify areas and consumer groups to target where your competitors perform well

Stay current 

Have the latest information at your fingertips. Get regular updates on market changes in a customised feed.  

Think locally

Define and understand specific catchment areas around your stores. Use the data for marketing, and decisions around store activities and openings.   

Measure impacts

Whether that is your online halo or the effect of competitors openings or in-store changes, measure effects on share, spend, ATV and demographic profiles. 

Testimonial

The CACI Consumer Spend Data has been instrumental in Sainsbury’s breaking new ground in our understanding of the evolution of multi-channel grocery. With it we can now observe changes in consumer spending and preference across channels at both national and local level and can see market dynamics play out in near real-time.

Sainsbury’s

We bring our expertise to you 

Why leading organisations use our consumer spend data solutions

Track competitors 

You can choose which competitors you want to track and get all the data you need on them. 

Combine insights 

You can combine with other sources of insight, such as mobility data and surveys that are also coded with Acorn. 

Geographical granularity 

You can get a comprehensive view of spend and market trends down to a local level. 

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Awards & accreditations

Speak to an expert about consumer spend data solutions

We’re tried and trusted in this industry and have been involved in consumer data for decades. At CACI, we want to support you in transforming your business.
  
If you’re looking for a demo, want to book a consultation, or both – we’re ready to help you cut the complexity out of consumer data. 

FAQs

Answers to common questions about consumer spend data. 

Yes, we do. The data is reweighted regionally by Acorn type to reduce bias and ensure that it reflects the population of Great Britain.  

The data can be provided at either post sector or LSOA level to provide local level insights. 

Consumer spend data is invaluable for identifying target areas for growth. By analysing spending patterns and market trends, businesses can pinpoint regions with high potential for expansion. This data helps quantify market sizes and demand, allowing businesses to focus their efforts on areas where they can maximise their market share.

Solutions

Location planning 

Make informed location decisions 

Location planning gives you confidence in the investment decisions that you make about your networks of stores, cafes, restaurants, dealerships, distribution centres or any other physical outlets you operate.   

Data-led insights provide evidence-based evaluations of pipeline sites, identify ideal locations for new openings and quantify local, national and regional market potential for growing brands.  They also guide right-sizing strategies for brands looking to optimise their networks in light of changing market conditions. 

Location planning - People walking in a street

Need to forecast sales potential of new and existing sites? 

Accurately and objectively assess the true sales potential of any location. 

Need to assess the potential of your brand? 

Identify and quantify the optimum network of outlets required to maximise your profitable reach in any territory. 

Need to prioritise your network strategy? 

Prioritise openings and changes to existing networks using data-backed evidence. 

Where problems are solved 

Location planning designed to help you make profitable investment decisions

Data enhancement

Create richer data by blending your data with ours. Use analytics and visualisation tools to make informed decisions backed by evidence. 

Make forecasts 

Improve your sales predictions and impact forecasts using data and machine learning. Understand the impacts of your outlets on other channels to quantify the online halo resulting from your physical network. 

Analyse performance 

Understand what drives the performance of your existing estate. Assess current site performance against objective potential benchmarks. 

Decisions you can trust 

Gain focus and clarity with tailored, insight-rich reports, with firm recommendations. Make smarter strategic, operational and marketing decisions. 

Get the detail

Interrogate data and models in custom-made interactive tools. Get all the data and insights you need to succeed. 

Choose how you want it

Design how you want to manage and view the outputs. Self-serve from cloud-hosted GIS platforms and dashboards or attend our delivery workshops to disseminate our strategic recommendations. 

Testimonial

“At the end of this work, we had a growth plan to refer to, which meant we could prioritise and focus incoming opportunities. With tangible, data-led evidence and a well-defined process and criteria, we could make decisions more quickly and share the work of detailed site assessment around the team more easily.” 


Ross Lacey

Location Planning Manager, The Midcounties Co-operative

We bring our expertise to you  

Why leading organisations use our location planning solutions 

Quality data 

The outstanding range, depth and quality of the data underpinning our solutions. 

Purpose built 

Our solutions are always built with application in mind and customised to your specific needs. 

Expert knowledge 

Our large team has vast experience across a wide range of client and consultancy side engagements, delivering informed decisions. 

Awards & accreditations

Speak to one of our location planning experts

We’re tried and trusted in this industry and have been involved in location planning for decades. At CACI, we want to support you in transforming your business. 
 
If you’re looking for a demo, want to book a consultation, or both – we’re ready to help you cut the complexity out of location planning. 

FAQs

Answers to common questions about location planning. 

Location planning helps businesses maximise profitability by choosing optimal sites based on customer demographics, competition, and accessibility. It also improves operational efficiency, enhances customer satisfaction, and supports strategic growth by ensuring locations align with business goals.

Location planning helps businesses plan by understanding how consumers and places are changing. It ensures that stores, formats, ranges, and services are developed to meet future demands, making your business resilient to market changes.

Yes, location planning can accurately forecast sales potential by analysing demographic data, consumer behaviours, local competition, and market trends. For new sites, it predicts performance based on similar locations and market conditions. For existing sites, it identifies opportunities for improvement. This helps businesses make informed investment decisions and maximise profitability.

Solutions

Retail network optimisation

Right stores in the right places, right across the globe 

Property is expensive, shopping habits evolving and places are changing, making it ever more important to ensure you are investing in the right physical network. Understanding how many stores you should have and where, prioritising your expansion and being smart about formats, ranging and how your channels support each other are fundamental to driving a successful and profitable business.   

Retail network optimisation - a busy street with lots of people and shops

Looking to expand? 

Target ideal locations and quantify how many stores or locations is optimal for you. 

Need to drive more profit from your network? 

Identify stores with headroom, measure online halo and understand missions and consumers to develop a multi-channel strategy. 

Want your estate to be fit for the future? 

Plan ahead by understanding how both consumers and places are changing. Develop and place stores, formats, ranges and services. 

Did you know? 

20%

more sales can be achieved by retailers through data-driven network optimisation.

Source: Hypertrade

65%

of retailers plan to offer same-day delivery within the next two years.

Source: Retail Drive

Where problems are solved 

Retail network optimisation solutions that deliver a profitable and strategic multi-channel network 

Invest wisely 

Ensure you invest in the right stores in the right places. Have confidence in your decisions by underpinning them with data and evidence. 

Size opportunities 

Quantify how large your estate could – or should – be to support conversations with investors. Assess the scale of opportunity for new formats, services and offerings, realising the potential financial benefit of investing in specific stores or locations.

Drive performance 

Identify underperforming stores and assess how to get more from them. Discover opportunities to streamline your retail network, optimising different channels and formats. 

Take a customer-centric approach 

Get to know your consumers to ensure you deliver stores that meet their needs. Offer the right ranges, balance convenience and brand engagement with an omnichannel experience. 

Quantify the value of online

Measure the interaction between online and in-store and how that varies. See the effect of different store locations on your online sales. 

Build long-term strategies

Harness a deep understanding of what drives success, customer change and how places are evolving to build future-proof strategies.  

Testimonial

“At the end of this work, we had a growth plan to refer to, which meant we could prioritise and focus incoming opportunities. With tangible, data-led evidence and a well-defined process and criteria, we could make decisions more quickly and share the work of detailed site assessment around the team more easily.” 

Ross Lacey

Location Planning Manager, The Midcounties Co-operative

We bring our expertise to you  

Why leading organisations use our retail network optimisation solutions 

De-risk your investment in property 

Underpin decisions with data and to ensure you are focusing where opportunity is greatest. 

Discover growth potential 

Use data-led insights to reveal how to drive sales from both new and existing locations. 

Test before you invest 

Explore, model and test scenarios before making investments. 

Awards & accreditations

Speak to one of our retail network experts

We’re tried and trusted in this industry and have been developing retail network strategies for decades. At CACI, we want to support you in transforming your business. 

FAQs

Answers to common questions about retail network optimisation. 

Retail network optimisation helps your business expand by targeting ideal locations and determining the optimal number of stores. This process involves analysing data to identify areas with high potential for success, ensuring you invest in the right places. By using data-driven insights, you can prioritise your expansion efforts, focusing on locations that offer the best opportunities for growth.

Retail network optimisation helps reduce costs by ensuring you invest in the right stores and locations. By analysing data to identify underperforming stores and opportunities for consolidation, businesses can streamline their operations and eliminate inefficiencies. This process also helps optimise store formats and product ranges, reducing overhead costs and improving overall profitability.

Retail network optimisation supports strategic decision-making by providing data-driven insights into market trends, consumer behaviours, and location performance. This information helps businesses make informed decisions about where to open new stores, how to allocate resources, and which markets to target. By aligning their retail network with strategic goals, businesses can enhance their competitive advantage and drive long-term growth.