Data monetisation. Built into your business.
Bring data monetisation in-house. We support retailers, marketplaces and delivery apps with strategy, data readiness and maintenance, technology, customer success and selling support — while your team builds the capability to run it.
The commercial opportunity
Suppliers, sellers and brand partners make better decisions with what you see every day. Most organisations share fragments of it informally. A defined offer, buyer and price turns that into a revenue line your team runs.
Examples of monetisable insight
Category trends and shopper behaviour in the categories they sell.
Aggregated search demand and assortment gaps in their categories.
Local demand by area and time, and purchase-mission patterns.
Give your brand partners a clearer view of performance, shoppers and campaigns through five insight areas available today. Alongside them, explore our proposed direction for AI-assisted brand advice.
01 · Product concept · planned
A proposed AI assistant combining retail data with outside signals to help brands decide what to stock, where and when to act. These example conversations illustrate the intended advice capability, not live forecasts, verified brand results or a service available today.
AI Brand Assistant · Concept
Illustrative conversation · Not a live service
What we offer today
Internalising data processes, category knowledge and partner delivery takes more than software. We work alongside your team, with cost-conscious support where you need it.
We identify valuable data assets, permitted uses and the partners who would buy them. Together we define the offer, pricing and operating model, with insourcing as the goal.
Output: Opportunity mapOwned by: Your commercial and data leads
We help prepare and maintain the data behind your offer, including category structures and data processes. Your team builds the know-how to manage these internally.
Output: Data readiness and maintenance planOwned by: Your data and category teams
Use your existing tools where they fit and our data monetisation platform where it is needed. We focus on practical, cost-conscious delivery rather than a platform-first commitment.
Output: Insight delivery platform and agreed setupOwned by: Your technology and data teams
We support onboarding, insight use and ongoing partner relationships. Your team takes an active role in delivery and builds the capability to run the programme internally.
Output: Partner onboarding and ongoing supportOwned by: Your partner-facing team, supported by Convert Group
We help your team package the offer, explain its value and support partner sales. You own the pricing decisions and commercial relationships.
Output: Sales playbook and commercial supportOwned by: Your commercial and partnership teams
Solutions
Suppliers want clearer category and shopper understanding; retailers want a structured, fair way to provide it.
Sellers and brands want to understand demand on your platform; you want a scalable, governed way to serve them.
Brands and partners want to understand fast, local purchase behaviour; you want a commercial model around it.
Product direction · planned
We are exploring MCP connectivity so brand partners could work with the retail data you choose to share inside tools such as Claude, ChatGPT and Copilot, rather than relying only on another dashboard.
Our proposed direction also includes AI-assisted internal presentations and forward-looking advice. These are planned capabilities, not integrations or services available today; availability and scope will be confirmed separately.
Tools considered for future connectivity
Claude
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Copilot
Success in practice
Dr. Max, with 3,000 pharmacies across Czechia, Romania, Slovakia, Poland, Serbia and Italy, has signed a 5-year partnership with Convert Group to transform retailer-brand collaboration.
Read the storyTell us where you are today. We’ll explore the opportunity together and what it would take for your team to own it.
Talk to Sales