Whatnot uses Openclaw for Sales to identify high-quality sellers on Instagram

Disclaimer: The examples below are inspired by the types of workflows we support, but they do not reflect any specific customer’s internal strategy, plans, or playbook. We want to protect our customers, so everything here is for illustrative purposes only.

‍

Whatnot is a community-based live shopping marketplace. As it expands into more categories, seller quality is one of its most important growth levers, and it’s harder to measure than inventory count or follower size.

The best Whatnot sellers have category expertise, great products, consistent supply, and the instincts to run a live show. Finding them before they become obvious requires better signals than a basic Instagram search.

Openmart helps Whatnot identify, score, enrich, and reach those sellers earlier, using social media signals across Instagram, TikTok, and Facebook.

‍

The challenge

Unlike traditional e-commerce, community-based sellers often need to do more than list products. They may need to build trust, answer questions, create engaging content, and turn casual buyers into repeat customers.

Many high-potential sellers are scattered across Instagram, TikTok, Facebook, Shopify stores, pop-up markets, and niche communities. Some are creators. Some are resellers. Some are boutique owners with small but highly engaged audiences.

They don’t describe themselves in standardized ways, and they usually don’t show up on standard lead lists.

The real question is not just:

“Who sells products online?”

It is:

“Which sellers have the profile to become high-quality marketplace partners?”

‍

‍

How Whatnot uses Openclaw for Sales

1. Finding high-quality sellers using proprietary signals

Teams can start with a category goal.

OpenClaw turns that goal into a structured discovery workflow. It identifies relevant sellers across social platforms and public sources, then builds a richer profile for each account.

For example, a seller with clear product expertise, consistent inventory, authentic engagement, and category credibility may rank higher than an account that has followers but limited commercial intent.

‍

‍

2. Scoring for live-commerce fit

Not every seller with social media presence is a strong fit for a marketplace.

OpenClaw scores potential sellers based on signals like product relevance, audience quality, category fit, content consistency, engagement, and likelihood to convert.

This helps teams prioritize sellers who are not just visible online, but more likely to become successful partners.

‍

3. Building category-level seller acquisition maps

As marketplaces expand, each category needs the right supply mix.

One category may need more niche experts.
Another may need sellers with stronger inventory depth.
Another may need creators who can educate buyers and build trust.

OpenClaw helps teams understand where seller supply is thin, which communities have strong seller density, and which profiles are most likely to fill category gaps.

Instead of sourcing sellers one by one, teams can build category-level acquisition maps.

‍

The outcome

Instead of manually searching social platforms and guessing at seller quality, marketplace teams can move from category goal to ranked seller pipeline in one workflow — with enriched contacts and personalized outreach ready to go.