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.
