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Marketing AI

Loyalty Is Decided After the Transaction

Media That Matters, Optimove's weekly series highlighting essential stories shaping the future of Positionless Marketing

Read time 5 minutes

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Why it matters:

This week's stories explore two industries that couldn't look more different on the surface, Asian iGaming and one of the world's biggest soccer clubs, arriving at the same conclusion about where customer loyalty is won. In both, a registration or a ticket purchase is treated as the opening of a relationship rather than the finish of a sale, and AI is being put to work on everything that happens afterward. The more interesting detail is what each one says about the limits of that automation: when an operator should hold back a promotion, and when a fan's question should go to a person. Who is drawing those lines in your own customer journey?

Key takeaways:

  1. Asian iGaming is competing on trust and lifetime value, not registrations. Rising acquisition costs and choosier players mean bonuses alone no longer buy loyalty
  2. Convenience attracts players, but trust keeps them. Payment friction, customer service, and confidence in an operator now weigh as much as the offer itself
  3. AI is only as useful as the data it can reach. Both stories treat unified, accessible player and fan data as the precondition for personalization at scale
  4. AC Milan treats a ticket purchase as the start of the relationship. One shared fan view across ticketing, retail, and hospitality feeds three agents, and the club reports 40%+ marketing ROI, 16% more ticket sales, and 26% higher email opens
  5. The best personalization knows when to step back. Calderon wants systems that recognize when not to promote at all, and AC Milan's support agent hands complex cases to staff with full context, because better human agents, not fewer, is the goal

1. Experts: CRM in Asian iGaming pivots to retention, personalisation

Jenny Ortiz-Bolivar, SiGMA, 9/19/2026

SiGMA's conversation with two Asia-based experts describes a region where acquisition has become expensive and players have become choosy, so success is increasingly measured by lifetime value instead of registrations. Strategic consultant John Calderon sums up the dynamic neatly: "Convenience may attract a player, but trust can help retain them." His point is that bonuses no longer buy meaningful loyalty when players can compare platforms easily, and that payment friction, customer service, and confidence in an operator's legitimacy now carry as much weight as the offer itself. Add Asia's fragmentation, from the regulated Philippines to unregulated but high-engagement markets like India and Vietnam, and a single regional playbook stops working.

The AI discussion is where the piece gets most useful for marketers. Optimove's Carlos Silva notes that AI can only find patterns in data it can actually access, which makes data readiness the precondition for anything agents promise to do. Calderon adds the counterweight: the same behavioral insight that identifies the right moment for a reward should also identify when a player's behavior calls for a responsible gaming intervention, or for no promotion at all. Knowing when not to communicate is treated as part of CRM maturity, not a compliance afterthought.

2. The pitch for agentic AI on the pitch at AC Milan

Sarah Aryanpur, diginomica, 9/23/2026

AC Milan serves a fan base of roughly 628 million people, and the club's approach starts with unifying ticketing, retail, hospitality, and marketing data into a single fan view that three AI agents share: one for fan support, one that assists club staff, and one for corporate hospitality. The club reports a marketing ROI gain of more than 40%, a 16% increase in ticket sales, and a 26% lift in email open rates. The framing matters as much as the numbers. A ticket purchase is treated as the start of a relationship, so a fan leaving a match might receive an offer on the shirt of that day's top scorer, rather than silence until the next fixture.

What stands out is how deliberately the club limits what the agents are asked to do. Its fan-support agent hands complex cases to live operators along with the full context of the conversation, and head of digital and CRM Massimo Venneri is explicit about the goal: "We need better human agents, not fewer." He also points to the unglamorous prerequisite, that trust in the underlying data is critical because the answer has to be right every time. The results the club describes come from that foundation and that division of labor, not from the agents alone. (As diginomica discloses, Salesforce, the vendor behind the club's stack, is a premier partner of the publication.)

In Summary

A betting operator in Manila and a soccer club in Milan face different regulators, different audiences, and very different stakes, yet both describe the same sequence. Win the first transaction, build the data foundation that makes every later interaction relevant, then use AI to personalize at a scale people couldn't manage by hand.

Both are also candid about where the automation should stop. One expert wants systems that recognize when not to promote, and the club wants agents that pass the hard questions to people with full context. For marketing leaders, the useful takeaway is that personalization at scale needs judgment designed into it from the start, because loyalty is shaped as much by what a brand chooses not to automate as by what it does.

Check back next week for another roundup of Media That Matters.

For more insights on Optimove and our Positionless Marketing Platform, contact us.

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Optimove Team

Writers in the Optimove Team include marketing, R&D, product, data science, customer success, and technology experts who were instrumental in the creation of Positionless Marketing, a movement enabling marketers to do anything, and be everything.

Optimove’s leaders’ diverse expertise and real-world experience provide expert commentary and insight into proven and leading-edge marketing practices and trends.

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