PUMA’s retail transformation is a useful sector case for CX, ecommerce, CRM, loyalty, and customer engagement leaders because it shows how omnichannel retail is becoming less about channel coverage and more about data activation.
Retailers have spent years connecting stores, ecommerce, mobile apps, email, marketplaces, and paid media. The harder challenge now is making those touchpoints work together around customer intent, purchase history, product discovery, loyalty moments, and local market behavior.
“If you are capturing your data correctly, and if it is woven together with your catalogue, the tool can generate recommendations for you that can be embedded within your emails.”
That comment from Ankit Madhogaria, Director of E-commerce Southeast Asia at PUMA, in a September 2025 Inside Retail Asia article, captures the strategic point. Better retail CX is not just about collecting customer data. It is about connecting that data to product catalogues, campaigns, channels, and moments where customers are ready to act.
The question for retail leaders is whether PUMA’s recent omnichannel work provides a repeatable playbook: turning fragmented customer signals into higher loyalty, stronger conversion, and more relevant shopping journeys.
TL;DR - PUMA Data-Driven Omnichannel CX
- PUMA’s recent retail CX evidence shows omnichannel now depends on activating customer, catalogue, behavioral, and transaction data.
- PUMA’s 2025 annual report says direct-to-consumer sales reached 32.4% of total sales, up from 28.9% the previous year.
- Inside Retail Asia reports PUMA used cross-sell automation to lift customers returning within 30 days from 16% to 19%.
- PUMA’s Birthday Bash campaign reportedly delivered a 60% uplift in offline revenue and nearly triple online revenue.
- A Branch web-to-app campaign drove 8,000 app installs in 25 days, a 4.38% view-to-click rate, and 12% of non-paid attributed revenue.
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Why PUMA Is a Useful Retail CX Case
Direct answer: PUMA is a useful omnichannel retail CX case because its recent evidence connects DTC growth, app adoption, customer engagement data, cross-sell automation, and online-offline campaign performance.
PUMA’s 2025 performance shows why this matters. In its 2025 annual report, the company said sales decreased by 13.1% to €7.296 billion, with currency-adjusted sales down 8.1%. The decline was linked partly to strategic reset measures in wholesale, including reducing sales with large-scale retailers that did not support brand desirability.
Yet direct-to-consumer proved more resilient. PUMA said DTC sales increased 3.4% currency-adjusted in 2025, while DTC represented 32.4% of total sales, compared with 28.9% the previous year. Ecommerce sales also increased 3.4% currency-adjusted, according to the same annual report.
That creates a sharper CX lesson. PUMA is not simply adding digital channels during an easy growth cycle. It is leaning on DTC, ecommerce, customer data, and controlled discounting during a broader commercial reset.
From Data Capture to Data Activation
According to Inside Retail Asia, PUMA uses customer data across three broad categories: communication data such as email or phone number; personal or event data such as birthdays, anniversaries, and first purchase rates; and behavioral data, including the channels customers use to make purchases.
That distinction is important for retail CX leaders. Omnichannel personalization is only as strong as the data model behind it. A retailer needs to know not only who the customer is, but what channel they prefer, what product context matters, and what moment is most likely to trigger a useful next action.
PUMA’s cross-sell automation shows how this can become measurable. Madhogaria told Inside Retail Asia that PUMA measured the percentage of customers returning within 30 days and increased that figure from 16% to 19% after activating cross-sell campaigns — described as a 20% increase in efficiency.
“It used to be that almost 16 per cent of customers returned within the same month. By activating this campaign, we were able to increase the number to 19 per cent.”
For CX teams, the point is not just the uplift. It is the mechanism: data, catalogue context, automation, and customer timing working together to make the next interaction more relevant.
Omnichannel Means Online and Offline Together
PUMA’s data work is not limited to ecommerce. In the same Inside Retail Asia piece, Madhogaria discussed how offline data collection is harder because customers need a stronger reason to share their details in-store than they do during online checkout.
That is a common retail barrier. Online journeys naturally capture email addresses, browsing behavior, basket data, and purchase history. Physical stores often need a value exchange: loyalty benefits, events, personalized offers, digital receipts, birthday rewards, or member-only promotions.
PUMA’s Birthday Bash campaign shows how that value exchange can become commercial. Inside Retail Asia reported that the campaign produced an almost 60% uplift in offline revenue and nearly triple online revenue compared with a typical friends-and-family campaign. It also reported that 60% of revenue came from repeat customers, which was 20 percentage points higher than typical online and 10% higher offline.
For B2B retail buyers, that makes PUMA’s example more than a CRM story. It is a loyalty, store, ecommerce, and customer engagement story.
Turning Mobile Web Traffic into App Customers
Direct answer: PUMA’s app strategy shows how retailers can convert mobile web traffic into owned-channel engagement when the journey is timely, measurable, and easy to act on.
A separate Branch case study details how PUMA used its “25 Days of PUMA” campaign to make the app a destination for holiday shoppers. The goal was to drive app-exclusive daily deals, app installs, and repeat engagement.
PUMA used Branch Journeys smart banners, including a full-page interstitial across U.S. site pages, to encourage visitors to open or install the app. The team also ran A/B tests on creative and calls to action, tracked performance in real time, and changed copy and CTAs during the campaign without relying on developers, according to Branch.
The results were practical: 8,000 app installs in 25 days, a 4.38% view-to-click rate that was more than double the non-holiday banner average of 2%, and 12% of non-paid attributed revenue from Journeys banners.