Retail Tech lead generation that finds decision-makers.
BeReach reads the public signals retail tech companies leave behind, like funding rounds, app marketplace listings, product launches and hiring. It qualifies each company against your ICP, then helps you reach the right decision-maker with a warm, contextual message.
1,000+ teams4.9| # | Name | Conn | Signal |
|---|---|---|---|
| 1 |  Priya Nair VP Product · ShelfPulse | 2nd | Liked the post |
| 2 |  Marcus Whitfield Head of Partnerships · Cartways | 2nd | Commented |
| 3 |  Lena Andersson Founder · Storepoint POS | 3rd | Commented |
| 4 | Rafael Duarte VP Growth · Aisleview | 2nd | Reposted |
| 5 | Grace Lim Ops Lead · Tillstream | 3rd | Liked the post |
Retail tech signals
funding, marketplaces, launches, hiring
Typical acceptance rate
warm, contextual first touch
Typical reply rate
vs generic cold outreach
To a qualified list
any category, any stage
Your agent scans where these accounts actually show up: funding and launch data, reviews and traction, tech stacks, hiring posts, and the people behind them.
Every account is scored against your ideal profile on size, stage, traction and buying signals, so noise is filtered out before it ever reaches you.
For each qualified account, the agent finds the right decision-maker and helps you send a contextual message that references a real signal, not a generic template.
Know exactly when a retail tech company raises, who led it, and how much. A freshly funded team is actively buying tools and partnerships, so you can reach them while the budget is fresh.
App store listings, ratings and category rank show which vendors are gaining traction. Use it to time outreach and find integration or partnership fits.
New products and integrations signal a team in motion. Lead with a reason tied to what they just shipped, not a cold pitch.
A vendor posting AE, partnerships or RevOps roles is scaling revenue. Track hiring to find companies in active growth mode, the ones most likely to buy.
BeReach reads the public web in real time, across funding data, app marketplaces, launch announcements, job boards and public profiles, then cross-references them to surface qualified companies along with the actual decision-maker's name and how to reach them. It is live signal, not a quarterly database dump.
Legacy databases index enterprise firmographics and refresh slowly, so seed-stage startups and vertical retail tools are under-covered or missing entirely. BeReach searches the real-time sources where retail tech companies actually announce themselves, like funding, marketplace listings, launches and hiring, so it finds accounts those databases do not have.
Yes. Every lead is built from public signals across the open web, cross-referenced and verified. There is no scraping behind a login and no private database, which is exactly why the coverage of fast-moving retail tech is so much better.
Funding stage and recency, app marketplace presence and ratings, product launches, integrations, headcount and hiring activity. You describe your ICP in plain language and the agent scores each company against it, so only the strong-fit ones reach you.
Yes, and that is the difference from a list tool. After the Finder surfaces companies and the Qualifier scores them, the Reacher helps you open a warm, multichannel conversation with the right person, referencing a real signal like a recent raise or a new marketplace listing instead of a generic template.
Yes. Just describe what you want, like a Series A POS startup with a Shopify app listing hiring enterprise AEs, and the agent handles the combination of stage, category, marketplace and buying signals. No filters or boolean syntax to learn.
Usually under two minutes. Describe the companies you want, the agent scans the public sources, qualifies them against your ICP, and returns a list with named decision-makers ready to reach out to.
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Describe your ideal retail tech account and let your agent find, qualify, and reach the decision-makers behind it.
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