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Home»eCommerce Marketing»How AI can rework loyalty and retention: three model…
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How AI can rework loyalty and retention: three model…

By October 23, 2025018 Mins Read
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Manufacturers are getting more and more inventive with methods to win – and maintain – buyer loyalty. With extra competitors than ever and shoppers typically feeling squeezed on value, companies should make a compelling case for returning to their model. 

Many are beefing up their loyalty rewards schemes with tailor-made provides and interesting options. Others have turned to progressive advertising campaigns to revitalise their relationships with clients.

In both case, making use of AI – whether or not that is generative AI or extra standard machine studying – could be necessary in constructing loyalty by enabling manufacturers to analyse buyer knowledge at scale and supply an expertise that feels personalised. We’ll take a look at three examples of manufacturers which have successfully used AI to enhance loyalty, from gamified grocery store purchasing challenges to a rejuvenated loyalty scheme to a quick meals marketing campaign that introduced lapsed clients again to attempt new and improved fries.

Clubcard Challenges convey hyper-personalisation to tens of millions

Tesco was a pioneer within the loyalty area: in 1995, its Clubcard grew to become the primary grocery store loyalty card within the UK. Its early success was hailed by Tesco’s then chairman, Lord MacLaurin. “What scares me about this,” he advised the crew overseeing an preliminary trial scheme, “is that extra about my clients in three months than I do know in 30 years.” 

Three additional a long time later, the corporate continues to be working to remain forward within the aggressive grocery sector. In honour of the 30th anniversary of Clubcard, Tesco and SaaS loyalty specialists EagleAI launched ‘Clubcard Challenges’: personalised, gamified challenges that gave contributors the chance to gather as much as £50 value of Clubcard Factors over a six-week interval. 

In complete, Tesco and EagleAI ran 4 iterations of the marketing campaign, progressively scaling up the variety of shoppers reached with every profitable iteration. The ultimate marketing campaign, which coincided with the festive purchasing interval, reached 10 million clients throughout the UK. Extra necessary than the campaigns’ dimension, nonetheless, was their means to craft individualised provides: AI fashions made greater than 190 selections per member as they assigned personalised challenges, tailoring merchandise, classes, and reward and spending thresholds. 

A complete of 20 challenges had been supplied to every member, combining AI personalisation with buyer selection: Clubcard holders had been in a position to determine which 10 of the 20 they most wished to finish, offering the model with one other set of helpful buyer knowledge. Challenges sometimes concerned a set quantity of spend in sure classes, equivalent to ‘Spend £20 on Tesco’s Summer time BBQ vary over the subsequent 6 weeks’ or ‘Spend £10 on plant-based meals’.

Cédric Chéreau, EagleAI Managing Director, advised Econsultancy forward of the problem rollout that, “The best way to get [to 50,000 Clubcard points] is totally distinctive for every buyer – however the worth proposition is identical for everybody.”  

That, he harassed, is “very, essential from a advertising perspective” – because it made the advantages of the Challenges (as much as £50 value of Clubcard factors) simple to for Tesco to speak and for members to grasp. 

Through the use of AI to create the best challenges and rewards for every Clubcard member, Tesco inspired mass uptake: 

  • 76% of tourists to the Clubcard Challenges web page transformed to gamers 
  • 62% of gamers reached a minimum of one reward 
  • Tesco celebrated its greatest ever Christmas efficiency on the finish of 2024, praising Clubcard Challenges’ contribution to a “report stage of digital engagement” in the course of the festive interval. 

Partnerships the “secret sauce” for Myer’s loyalty program

Like Tesco, Australian division retailer and on-line retailer Myer has a longstanding loyalty program. However this early-mover standing hasn’t at all times conferred a bonus. Myer One started in 2004, however by 2019 the scheme was struggling, with its undifferentiated provides failing to have interaction members, who had been outspent by unattached customers. 

To show its fortunes round, the model used AI and partnerships to show loyalty from an also-ran into the star of the present.  

Myer One’s construction is much like many different schemes, with customers incomes 2 credit for each greenback spent, and getting $10 to spend for each 1,000 credit. Advantages rise by means of bronze, silver, gold and the invite-only platinum tiers, with birthday awards, free transport, free supply and unique occasions all on supply. 

Myer labored with buyer worth administration platform Gravitas to supply extra differentiated offers to members and unlock enhanced worth from the scheme. All the time-on machine studying and analytical fashions use program knowledge to forecast buyer behaviour and establish particular person preferences. This enables for tailor-made messaging and improved lead scoring in real-time, and allows Myer to group clients into classes, with the model figuring out the best potential rewards in “excessive worth”, “in decline” and “one-off” clients, and allocating assets accordingly. 

The scheme has been rejuvenated by the brand new method. By 2024, ​​Myer One was the third-largest loyalty program in Australia. However much more importantly, it boasted: 

  • 4.4 million energetic customers 
  • greater than 10 million accessible members 
  • member gross sales that introduced in $2.4b in annual income, representing 76% of Myer’s complete gross sales 

Myer’s data- and analytics-rich loyalty program is not only utilized by the model and its members. Companions and suppliers, together with Simply Denims, Portmans, Jacqui E, Jay Jays and Dotti, American Specific and CommBank can now construct campaigns focusing on Myer loyalty members instantly, giving companions entry to invaluable, outlined cohorts and clients extra provides throughout clothes and finance.

Philip Shelper, the founding father of marketing consultant Loyalty & Reward Co, says that the Myer partnership strand has “an infinite quantity of mileage” if targeted on and that the loyalty program as a complete has clearly develop into Myer’s “secret sauce”. As to future priorities, it’s maybe revealing that present Myer government chair and CEO Olivia Wirth has no division retailer expertise, together with her background as a substitute in loyalty as the previous CEO of Qantas Loyalty.

In line with Oscar Oberg, lead portfolio supervisor at Wilson Asset Administration, the corporate’s resolution to usher in Wirth as chief government in addition to government chair makes enterprise sense. “Olivia was the top of one of many highest development areas at Qantas of their Frequent Flyer program. We predict this expertise can quickly develop Myer’s loyalty program … which might enhance Myer’s gross sales.” 

KFC redeems its fries – and its standing with clients – with Fries Compensation

They had been, mentioned one buyer, “like chewing on a shoe sole”. “Limp and floppy,” mentioned one other. Quick meals model KFC had a weak spot – its French fries. In Spain, sad clients and unfavorable critiques had been damaging the model’s repute. 

In response, the chain reformulated its fries. However the best way that KFC shared the shift was what really redeemed its standing with previously lapsed clients: by means of knowledge, inventive advertising and an enormous dose of humour. 

The technique, known as Fries Compensation, was put along with buyer engagement platform Braze and advert company PS21. An automatic evaluation of transactional and CRM knowledge uncovered a significant perception: clients had an emotional attachment to fries, and when the product allow them to down, they felt betrayed. 

Simply bettering the recipe wouldn’t be sufficient. KFC owned as much as its previous errors, displaying actual buyer complaints on billboards. The perfect apologies are private, and so the corporate used historic fry buy knowledge to achieve out on to clients and supply them personalised compensation provides – free fries – that matched the price of their earlier purchases. 

The provides had been shared through e mail and messaging, and KFC additionally engaged instantly with clients on social media and through outdated Google critiques to inform them concerning the new recipe. The method was built-in with kiosk knowledge feeds to trace engagement and redemption. 

The outcomes confirmed robust engagement and a major gross sales uplift: 

  • 95% e mail open fee, making it KFC’s highest-performing CRM marketing campaign 
  • 42M impressions and 1.3M social interactions 
  • app downloads elevated by 679%, whereas day by day energetic app customers rose by 233% 
  • launch day app gross sales had been KFC’s highest ever, with a 20x improve in day by day orders pushed by clients who ordered additional menu gadgets alongside their free fries. 

KFC’s marketing campaign used AI-powered evaluation and personalisation to drive engagement, forging improved relationships and renewed loyalty. Current knowledge was key to its success as KFC mined buyer critiques for insights and analysed transactional knowledge to ship its ‘compensation’ – which led to extra constructive sentiment and drove elevated app utilization. 

KFC took a threat by amplifying unhealthy publicity and received, exhibiting that there’s multiple method to reengage clients. 

Crucially, every of those applications and campaigns is built-in into the broader enterprise. Information-rich loyalty applications have by no means been an finish in themselves: they need to inform all the things from stock and communications to product growth.  

As loyalty schemes get nearer to their holy grail of true one-on-one personalisation, extra alternatives will emerge – and AI could be a useful device for seizing them.

Learn extra of our protection on AI in motion:



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