Listing optimization
Measure listing quality (IDQ), pinpoint what is holding rankings back, generate recommendations, and apply them to live products across marketplaces.
Product data. Marketplace. AI discovery.
We turn messy product data into a performing asset.
Da Gama Labs helps enterprise brands and retailers grow sales by strengthening listings, product data, and how their products are found across search engines, marketplaces, and AI assistants.
- Listing quality score
- IDQ
- Operations agents
- AI
- All marketplaces
- One view
The reality on the ground
You have the products. The channels do not perform.
Most enterprise brands are already online. Marketplace growth is spread across listings, ads, pricing, content, stock, reviews, agencies, and internal teams. Coordination breaks, revenue stalls.
Products are listed, but sales are below potential
The brand is present, yet rankings, traffic, and conversion are not strong enough to move the number.
No one knows what is limiting growth
Content, pricing, reviews, stock, ads, category setup, or competitors. The real bottleneck is unclear.
Product data updates are slow and manual
Listings, ads, stock, pricing, reporting, and content are handled in silos with frequent human error.
Ad spend does not translate into profitable growth
Campaigns run, but the team cannot say confidently what is working, what is waste, and what to scale.
What we do
Four core services, one commercial logic.
We work as an extension of your team. We measure, we recommend, and we operate. Each service stands alone. Together they compound.
Process optimization
Automate product operations with AI agents. Content generation, translation, enrichment, price and stock sync, and quality control that run without pulling your team into repetitive work.
Integrations
Manage products across local marketplaces from one place. Amazon, Zalando, bol.com, OTTO, Allegro, and more. One catalog, many channels, one operating rhythm.
Reporting
Clear dashboards on product performance, category health, ad efficiency, and share of search. Reporting your commercial team can act on, not admire.
How we work
A method built to rank, convert, and scale.
- STEP 01
Find the real bottlenecks
We audit your marketplaces, content, ads, competitors, and AI search visibility to see what actually limits sales.
- STEP 02
Improve what drives ranking and conversion
Titles, keywords, images, attributes, categories, and marketplace readiness. Grounded in data, applied to live listings.
- STEP 03
Connect ads, pricing, stock, and content
These cannot be managed in isolation. We align them so the channel runs on one commercial logic, not five.
- STEP 04
Create a clear operating rhythm
Priorities, owners, reporting, and next actions. Not random tasks and unclear responsibility.
- STEP 05
Prepare for AI-driven discovery
We check how ChatGPT, Perplexity, Google, and other discovery points understand your brand, then improve the signals.
Built by operators
Founded by people who ran marketplace growth from the inside.
Da Gama Labs was started in 2026 in Copenhagen by Frederik Birk and Antons Fronovics. Together they built and scaled marketplace and product operations at Nexta.io, Kevel, and Amazon.
Ready to see where your marketplace growth is stuck?
A short call is enough to map the real bottlenecks. We come back with a clear view of what to fix, in what order, and what to expect.