Turn customer data into growth with AI agents
2min • Last updated on Oct 13, 2026
Alexandra Augusti
Chief of Staff
Join DinMo at Tech for Retail on 30 November and 1 December 2026, at stand V79, Paris Expo Porte de Versailles. Discover how our composable and agentic CDP helps retailers turn customer knowledge into more relevant marketing.
From smarter targeting to repeat purchases and personalised journeys, your customer data can support your growth priorities. The challenge is making that knowledge available to the people and tools that can act on it.
Key takeaways: meet our team, discover Dan, our AI agent, and hear a customer story during our conference session on 30 November, from 16:40 to 17:10, Paris time.
Tech for Retail: bring your marketing priorities into focus
Tech for Retail brings physical and online retailers together to explore the technologies shaping the sector.
For DinMo, it is an opportunity to discuss the challenges retailers face every day: understanding their customers, making campaigns more relevant and shortening the journey from data to action.
We believe customer knowledge should be a growth resource that marketing teams can put to work. At the show, we’ll demonstrate what this means through practical use cases and conversations about your priorities.
Put more of your customer data to work with DinMo
In-store purchases, online orders, loyalty programmes and CRM interactions all provide valuable customer knowledge. Yet turning it into audiences, personalised offers and campaigns can still involve repeated data exports and requests to data teams.
DinMo connects customer data with your marketing teams and their tools. Our composable CDP builds on your data infrastructure, helping you create audiences, enrich targeting and prepare activations without code.
For retailers, this creates opportunities to:
Make media spend more effective, with relevant audiences and campaigns informed by customer knowledge.
Encourage repeat purchases, by identifying customers to win back and understanding their buying patterns.
Deliver personalised experiences, with messages and recommendations shaped by preferences and behaviour.
Take a more proactive approach, using predictive scores for churn risk, future customer value and product affinity.
Give marketing teams greater autonomy, so they can move more quickly from a campaign idea to preparing it in their existing tools.
The goal is straightforward: spend less time preparing data and more time growing customer value.
Meet Dan: analyse, prepare and improve your marketing actions
“How can we encourage a second purchase?” With Dan, DinMo’s built-in AI agent, a business question becomes the starting point for a concrete marketing action.
Dan explores your customer data, compares behaviour and identifies opportunities. Which new customers buy again? When do others drop off? Which products are associated with repeat purchases? Your team gains the insight it needs to decide where to act.
Explore customer win-back opportunities with Dan.
Dan then uses that analysis to suggest an approach: who to target, when to reach them and which actions to consider. For example, a reactivation journey for first-time buyers who have yet to place a second order.
Turn analysis into a retention strategy with Dan.
That proposal takes shape in your workspace. Dan can prepare drafts of any DinMo object, including the audiences and journeys needed to support the proposed action. Your team gets a first version to review, refine and approve, helping you move more quickly from an idea to implementation.
The loop continues once the action is live. Using the available results, Dan helps you understand what is working and where there is room to improve. It can then suggest changes to the targeting, timing or journey to inform your next action.
A question, an analysis, a proposal, drafts to review, then results that inform the next decision. At Tech for Retail, discover how Dan connects these steps to help your team move faster while staying in control.
How does an agentic CDP work?
Hear a customer story about agentic marketing in practice
Join our conference session on Monday 30 November 2026, from 16:40 to 17:10, Paris time.
The Bradery will share its DinMo use cases: analysing customer behaviour, targeting audiences and personalising sale recommendations in Klaviyo emails. Hear how the team uses testing and performance measurement to refine its campaigns.
Let’s meet at stand V79
Looking to improve targeting, build customer loyalty or give your marketing team more autonomy?
Bring your retail challenges to DinMo. We’ll discuss the opportunities within your customer data and how to turn them into practical marketing actions.
Meet us at stand V79 on 30 November and 1 December 2026, and join our conference session on 30 November at 16:40, Paris time.
