5 steps to move from catalog growth at all costs to demand-led marketplace scaling

For years, marketplace growth followed a simple playbook:

And for a long time, it worked.

But as marketplaces mature, adding more supply no longer guarantees more GMV.

A marketplace can have thousands of sellers and millions of products and still miss the products customers actually want.

The problem has changed.

Marketplace teams no longer need more catalog at any cost. They need to understand exactly where demand exceeds their current offer, decide which opportunities matter most, and execute against them faster.

That requires moving from catalog growth to demand-led growth.

Here are five steps marketplace teams can take to make that transition.

Step 1: Redefine your marketplace growth metrics

Most marketplace teams still track supply metrics:

• Number of active sellers
• Number of new sellers onboarded
• Number of SKUs
• Catalog size
• Number of categories launched

These metrics measure activity. They don't necessarily measure growth.

Adding 100,000 products nobody wants creates catalog complexity, not incremental GMV.

A demand-led marketplace should instead ask: How much valuable demand are we currently failing to capture?

That changes the metrics that matter. Marketplace teams can start tracking:

• GMV potential of missing products
• GMV potential of missing sellers
• Priority gaps closed
• Time from opportunity detection to execution
• Incremental GMV captured
• Percentage of high-value opportunities actioned

This is a fundamental shift. Instead of asking "How much supply did we add?", you start asking "How much demand did we capture?"

Step 2: Stop treating every catalog gap equally

Finding missing products isn't difficult anymore. There are hundreds of scraping providers capable of producing enormous product and seller lists.

But a list is not a growth strategy.

The real question is: which missing products actually matter?

A marketplace may have millions of theoretical gaps. Only a tiny fraction deserve attention from its commercial teams.

This is where marketplace intelligence becomes fundamentally different from scraping.

Scraping is an input. The real work is making products comparable across marketplaces, connecting them to sellers, prices, countries, categories and demand signals, then estimating the commercial opportunity behind each gap.

Instead of giving teams another spreadsheet with 50,000 missing products, the objective should be much simpler:

That is the difference between data collection and decision intelligence.

Step 3: Create one operating rhythm around growth opportunities

Marketplace growth is inherently cross-functional. A missing product may require:

• Recruiting a new seller
• Activating an existing seller
• Fixing catalog integration
• Changing a price
• Adding a 1P offer
• Improving visibility
• Opening a new category

Yet these decisions are often spread across dashboards, spreadsheets, CRM notes and individual account managers.

The consequence is predictable: everyone has data, nobody has the same priorities. High-potential opportunities get discovered but never executed.

The solution is not another dashboard. It is a shared operating rhythm.

Each opportunity becomes a decision. Commit. Snooze. Dismiss. If committed, assign an owner and an ETA.

The Head of Marketplace gets a single view of the growth plan. Category managers know exactly where to focus. Seller teams know which merchants matter most.

Marketplace intelligence becomes an operating system rather than a research tool.

Step 4: Connect intelligence to execution

Insights have almost no value until someone acts on them.

This is one of the biggest differences between marketplace analytics and marketplace operations.

Knowing that a competitor sells a product you don't have is interesting. Knowing that the product represents significant potential demand is better. Knowing which seller can supply it, who owns the opportunity internally and whether it has been executed is what creates GMV.

Every opportunity should therefore move through a simple execution loop:

Consider a marketplace missing a fast-growing product family. Traditional market intelligence stops at: "Competitors have these products."

A decision system goes further:

• These are the products that matter
• These sellers can provide them
• This is the estimated opportunity
• This person owns the action
• This is the expected delivery date
• This is what happened after execution

The unit of value is no longer the insight. It is the executed decision.

Step 5: Measure what happened after the gap was closed

Most competitive intelligence systems have a structural weakness. They find opportunities, then forget about them.

The marketplace team exports the data, acts somewhere else, and the feedback loop disappears.

But sustainable marketplace growth requires learning from execution:

• Did the seller actually onboard?
• Did the product go live?
• How long did it take?
• Did the expected demand materialize?
• How much GMV was captured?
• Which types of opportunities consistently convert?

Over time, this creates something much more valuable than another market dataset. It creates a marketplace growth system that learns which opportunities are worth pursuing.

Every decision improves the next decision.

And marketplace leaders gain something they rarely have today: a measurable connection between market opportunity, internal execution and actual growth.

From bigger catalogs to better decisions

Catalog size will remain important. Seller acquisition will remain important. Competitive data will remain important.

But none of them is the end goal. GMV is.

The next generation of marketplace growth teams won't win because they monitor more websites, collect more products or build bigger dashboards.

They will win because they identify valuable demand earlier, make better decisions and execute faster.

That is the shift from marketplace intelligence to marketplace decision intelligence.

And it is what we are building at Vigie.