Why France would best suit a Gymshark European market expansion

Why France would best suit a Gymshark European market expansion

A new sportswear retailer emerges on the international stage.

Gymshark, a fast-growing activewear brand, has been rapidly expanding its global reach and brand presence as it ventures into the world of brick and mortar. Having recently opened new stores in the UK (Stratford City), the Middle East (Dubai) and a pop-up concept in New York City, this brand with a prominent social media and predominately online presence is now rapidly infiltrating physical retail.

Despite not yet launching across wider Europe, it’s only a matter of time before these markets will be ventured into via physical pop-ups and stores. Selecting the right locations out of countless options may be a daunting task that comes with the territory, however. So, once the time comes for Gymshark to decide which locations to expand into that will maximise their increasing growing brand recognition and ROI, how should they effectively go about it?

In this two-part blog series, we’ll walk you through a hypothetical European market expansion for Gymshark in France, sharing how the brand can use data to accelerate and enhance their international store network strategies. Three French cities that demonstrate viable market expansion potential based on insights taken from CACI datasets and segmentation tools will be focused on, as well as key takeaways that Gymshark (or brands in a similar position) could consider when it comes to international market expansion.

How France was identified as an optimal location for a Gymshark European expansion

CACI possesses a complete universe of defined retail areas to consider, a detailed understanding of different types of consumers and where they shop. This enables us to guide a brand like Gymshark to maximise success and value from go-to-market strategy and launch through to expanding into broader brand recognition and market share capture. With this in mind, and with Gymshark expanding into physical and new regions, we investigated European markets that might fit their need should they decide to expand into Europe.

With Gymshark already a brand on CACI’s Brand Dimensions, a dataset tracking hundreds of the UK’s most popular and emerging brands to reveal spend, sales and average transaction value insights, key groups in French Acorn could also be identified. Key Acorn groups were identified by using Brand Dimensions data followed by selecting key Acorn groups within French Acorn data, which correlated accordingly. In France alone there are over 10,000 retail areas, each with differing levels of existing premium clothing shops and competitors, types of customers, footfall, population and spend.

By comparing this to the expected view from Retail Footprint Europe, we could identify locations that were currently failing to engage Gymshark’s key shoppers but had the opportunity to. From these collective findings, we were able to conclude the following three French locations that could benefit from the opening of Gymshark: Paris, Marseille and Besancon.

Why Paris would perform well in a Gymshark France expansion

According to our findings, Paris presents the highest performance potential and should be a primary focus for Gymshark. Aside from being the biggest city in France– an obvious bonus for any brand– Paris presents the best shopper demographic, a strong array of existing premium retailers and the ability to attract the relevant demographic groups that would align to Gymshark’s brand identity of being a premium retailer with similar retailers already in the centre.

Retail Footprint Europe enables the use of transactional data across brands to develop an understanding of the typical Gymshark shopper, brand positioning and establishing criteria for the most suitable locations for Gymshark to consider regarding new store openings. Considering these criteria, Paris ranked incredibly high on Clothing and Footwear, with the Haussmann-Opera retail area Klepierre centre ranking among the top three across France.

Why Marseille would perform well in a Gymshark France expansion

Marseille presents itself as another viable option as our findings show it to be the middle ground between high affluence profiles and younger, ‘student life’ populations found in other larger, prominent French cities. The city’s strong clothing and footwear and high proportion of premium retailers also contributes to its performance potential. However, its lower ‘young and affluent’ target demographic runs a potential risk.

Why Besancon would perform well in a Gymshark France expansion

Despite Besancon presenting itself as more of a curveball, the granularity of our Retail Footprint findings demonstrate that in spite of its smaller size and lesser known location, the city is home to a strong clothing and retail offering including premium retailers, a high percentage of young and affluent shoppers and is overall more likely to attract the right shoppers.

Key takeaways that Gymshark can consider for a French market expansion

These aforementioned insights would enable Gymshark to better understand their long-term audience capture of sites through physical retail and experiment with different formats and experiential offerings. Combining Retail Footprint data across Europe with demographic, transactional, brand alignment and footfall data can ultimately be used to shape an evolving store network strategy, and the national view further solidifies an understanding of the entire retail landscape of France. Through these insights, Gymshark would be able to accelerate store openings with greater confidence and success if or when they decide to expand into Europe.

Ready to Find Your Next Market?

With insights from Retail Footprint Europe, pinpoint the best locations for your brand’s growth across Europe.

Stay tuned for next blog in this two-part series, where we’ll assess which Klepierre centres in these high-performing potential French cities could perform well in a Gymshark French market expansion.

Key trends shaping data strategy: Insights from Big Data LDN and Snowflake DCWT 2024

Key trends shaping data strategy: Insights from Big Data LDN and Snowflake DCWT 2024

In recent months, I have had the opportunity to represent CACI at two major data conferences—Big Data London and Snowflake’s Data Cloud World Tour in London. CACI took a prominent role at both events, including serving as a Black Diamond Partner at the Snowflake tour. I spoke at both events, sharing insights from our latest projects and discussing the strategic shifts shaping the data landscape.

Both conferences were electric with activity, demonstrating the strength and vibrancy of our data community. The CACI booth saw a steady stream of professionals eager to discuss our perspectives on the future of data and technology, as well as how we’re tackling current trends and challenges across industries. These interactions highlighted three key themes resonating within the industry today.

  • Snowflake functionality including sharing and Container Apps

One of the questions I was asked a lot at the events was how organisations can use native data sharing functionality with Snowflake more widely. Snowflake has progressively made this easier to do, by enabling direct warehouse-to-warehouse sharing of data. Moreover, the launch of Container Apps has meant that organisations can also consolidate more processing within Snowflake, rather than handing off to processes outside of where they store this data. Increasingly, Snowflake adopters are seeking to consolidate more of their data technology and data within one common platform. This obviously increases efficiency with data processing and makes your data processing estate easier to manage.

I was inundated with questions about how we can support organisations in making more from their Snowflake estate, from supporting on enabling direct sharing and private cleanrooms, to migrating workloads to native Snowflake apps. It’s clear that this will be a core strategic push for many organisations already on Snowflake, but also a driving force behind many decisions to migrate to Snowflake.

  • The rise of data Self-Serve

It was quite staggering to see how many exhibitors at Big Data London were software vendors selling self service data insight platforms, many of them powered by GenAI. The desire to give non-coders access to query data held within a warehouse/lake etc is nothing new, there has forever been this requirement. Hitherto, that access has been slightly hamstrung by the capabilities of the tools aiming to give that capability, often giving a reductive or clunky user experience. However, this sector has grown momentum recently, driven by increased data volume and by the increased desire for more data by “non-technical” people.

It’s clear that GenAI, in part, has given renewed energy to this sector, and we’ll see these type of natural language tools start to really challenge the incumbent BI tools.
One of the omnipresent challenges of the data industry has been how to seamlessly give access to data, held within data platforms, and easily give access to people not proficient in writing code. It is one of the areas that has held back true democratisation of data, and limited initiatives to create thoroughbred “data-driven” organisations. If GenAI can help by removing these barriers to data accessibility, then we’ll enter a new age of data use, and organisations will really be able to start fully leveraging all the data that they have at their disposal.

  • Importance of Observability

In 2024, observability—essentially, next-level monitoring—is becoming indispensable. We find ourselves in a place where our data estates are becoming ever more expansive and expensive. The volume and cardinality of data that is being collected and processed is ever increasing, contributing to a degradation of transparency about what is happening on our data platforms. Moreover, the now ubiquitous consumption pricing model has meant that there is now increasingly need for better observability, to enable widespread transparency on what processes are running, their efficiency, how much compute they are using, and how much they cost.

We’ll see an increasing push to streamline data processing operations and to create better clarity on what processes are running and how much they are costing the business. Additionally, as data operations but ever more business critical, there will be additional scrutiny their performance and health.
In summary, these three trends—expanded Snowflake capabilities, the advancement of self-service data tools, and enhanced observability—reflect a broader industry shift towards greater accessibility, efficiency, and cost transparency in data management. As we continue to innovate and adapt, CACI is positioned to support organisations in navigating these changes and unlocking the full potential of their data assets. Together, these insights underscore a vibrant future where data is not only accessible but fully optimised to drive meaningful business outcomes.

Curious to explore how these trends could shape your organisation’s data strategy? Let’s start a conversation about unlocking the full potential of your data estate with CACI. Reach out today to discover more.

Selecting the right customer engagement tool from Adobe

Selecting the right customer engagement tool from Adobe

At CACI, we have been working with the Adobe Experience Cloud for over 12 years, helping clients maximise the value they get from their investment in the platform, delivering award winning outcomes and producing significant revenue streams as a result. 

We’re proud to be an Adobe Gold Partner and are widely recognised as a thought leader and specialist, especially around Adobe’s campaign and journey orchestration offerings.

In this series we dive into the Adobe upgrade pathway and discover the pros and cons of each version, key upgrade considerations, and enable you to decide which one suits your needs best. 

How will businesses be affected by Adobe’s latest upgrade pathway?

Following Adobe’s recent announcement that Adobe Campaign v8 (ACv8) and Adobe Journey Optimiser (AJO) represent the future of their marketing automation and journey orchestration offering, businesses currently relying on older versions of Adobe Campaign Classic and Standard are strongly encouraged to transition to either AJO or ACv8.  

For B2B clients, Marketo Engage remains Adobe’s core marketing automation solution, alongside a newly released B2B editions of the ‘Real-Time Customer Data Platform’ and ‘Adobe Journey Optimizer’ 

While both AJO and ACv8 boast robust features, the process of selecting which one is most appropriate for your needs requires careful consideration to ensure you are setup to enable long-term customer success and CRM scalability. 

With change comes opportunities for businesses to evolve their CRM programmes with the new capabilities of the Adobe Tech stack, such as utilising new channels.  

So, how can businesses decide which of these tools will be right for them? 

Face-off: Adobe Campaign v7 vs v8 

The console version of Adobe Campaign v8 is very similar to v7. Until now, the primary reason to migrate would be to take advantage of faster data processing and integrations with other Adobe products.  

The new web UI however will be attractive to lots of AC customers, offering a much more marketer-friendly interface for less technical users, and will appeal to clients currently using the web-based Adobe Campaign Standard. 

One consideration with a move to v8 is that it includes the additional layer of support provided through Adobe’s new Managed Cloud Service.

 

Is Adobe Campaign v8 right for my business?

In our opinion, v8 is an incredibly versatile tool and is perfect for delivering complex campaigns at scale for businesses. Those who are on ACS are in for a significant upgrade given the additional capability and scope for customisation offered by the tool.  

Comparative to ACS, Adobe Campaign is a much more customisable and extensible tool and can be leveraged to meet very bespoke requirements as a result. As per ACS, at its heart is a fully relational and extendable data model. However, unlike ACS, you are not limited to a single set of rules governing sending requirements and this can be bespoke to different targeting requirements. For example, having different rules for Newsletters, automated campaigns, and other different types of marketing communications.  

Some examples of custom implementations of Adobe Campaign v8 completed by CACI include:  

  1. A custom integration with OPTA to incorporate live football results and statistics to personalise a football results newsletter for a publisher based on a customer’s favourite team.
  2. Custom integration with an external mobile marketing platform to trigger push notifications and in-app messages from campaigns orchestrated within Adobe Campaign.
  3. Creation of a custom web app interface for a gaming client to allow their local venue managers to create basic campaigns to their local customers.  

One consideration of Adobe Campaign v8 is it does not offer a RESTful API. However, its SOAP API is extensive and can be used for any required implementation, such as data integration, triggering workflows or sending transactional messages via the Message Centre.  

Introducing Real-time journey orchestration with AJO

Adobe Campaign is built on a traditional relational database. While this fully extendable data model makes it well-suited for advanced batch segmentation and personalisation campaigns, it is not as well suited to real-time, journey-based orchestration use cases that some newer customer engagement platforms support.  

Adobe’s answer for these use cases is its Adobe Journey Optimizer (AJO) platform, built on Adobe Experience Platform. AJO offers the ability to build 1:1 journey-based, triggered experiences at scale. E.g. For anyone wanting to build seamless omni-channel personalised experiences at scale then AJO is the platform to consider 

Additionally, with support for web and mobile in-app messaging alongside DM, SMS, push and email, the platform makes for a compelling choice for clients looking to leverage these channels and respond to real-time, streaming data. AJO can also leverage the existing data in AEP to enrich the incoming event and further personalise the customer journey.

Is AJO right for my business?

We believe Adobe Journey Optimiser (AJO) stands out as an excellent real-time journey orchestration platform. It being underpinned by AEP means that it can leverage much more complex data structures than alternative customer engagement platforms, so it will no doubt appeal to clients facing more complex data needs, especially those who have not yet invested in a CDP and will therefore benefit from other products within the AEP stable.  

Many clients may still need some of the more traditional features that come from an enterprise grade campaign management platform, however, especially if they need to orchestrate complex batch campaigns (e.g. insurance renewals). A combination of Adobe Campaign and AJO will therefore appeal to clients looking for that perfect blend of traditional batch and real-time triggered orchestrated journeys. The improved Campaign -> AEP integrations that also come with AC v8 make this combination much easier to manage.  

CACI are Gold Adobe partners and have hands on experience planning and migrating into the Adobe Experience Cloud.

Download our whitepaper series to explore the Adobe upgrade pathway and discover the pros and cons of each version, key upgrade considerations, and enable yourself to decide which one suits your needs best.

Should you need independent help when planning your Adobe Campaign upgrade, please don’t hesitate to get in contact with our experts.