← All case studies

Teikametrics

$300K+ pipeline in 9 months, 100+ hours saved monthly

E-commerce (marketplace optimization platform) 201 to 500 employees 12 months HubSpot · Clay · Smartlead · SmartScout · LinkedIn Sales Navigator

The constraint

Teikametrics did not need help believing in their product. Their AI platform helps Amazon and Walmart sellers grow through smarter bidding, predictive analytics, and inventory optimization, powering brands like Carhartt, Dermalogica, Dickies, and Wyze. Over 200 employees, a sales team already doing outbound.

The engine just was not keeping up. BDRs juggled Apollo, HubSpot, and SmartScout by hand: time wasted, personalization hit-or-miss, pipeline short of ambition. The default fix was hiring more BDRs. Their CRO did not want the default.

"Our sales reps did an awesome job at closing deals. Our ACV was going up. But the challenge, of course, was we needed more pipeline. Marketing returns were diminishing, and I knew the old-school BDR model wasn't scalable in 2024. I wanted the outcome of a BDR team, but more efficient and effective."

Ben Ray, Chief Revenue Officer, Teikametrics

What we built

A repeatable system, in four moves.

The stack got rethought, not expanded: Smartlead for reliable high-volume sending, LinkedIn Sales Navigator for precision targeting, Clay paired with the SmartScout API for automated prospecting and enrichment, with HubSpot staying as the anchor CRM. Every step that was manual (finding prospects, enriching data, sending campaigns) became automated, while the tone stayed human.

Targeting got ruthless. Instead of reaching at everyone selling on Amazon, custom SmartScout reports surfaced exactly the sellers matching the sweet spot. That single lever did more than any other.

The messaging spoke to real seller problems (overspending on ads, stockouts, inconsistent performance) and tied each one back to how Teikametrics solves it.

And it ran as a 12-month collaboration with weekly reviews: subject lines tweaked, filters refined, small changes compounding month over month.

Results

MetricResult
New pipeline$300K+ by month 9
Time recovered100+ hours monthly
Manual list-building remainingZero
Fastest winA competitor's user replied in week one; deal won within a week

That first-week deal paid for the whole program, in Ben Ray's own words.

What this means for you

If the next line in your budget is another BDR hire, price the alternative first: the same prospecting, enrichment, and sending your team does by hand, running as a system inside the CRM you already own. The outcome of a BDR team, without growing one.

Built under: GTM engineering

See what the same build looks like inside your stack.