Teikametrics
Teikametrics Case Study: $300K+ in Pipeline by Month 9 Without Hiring More BDRs
The outcome of a BDR team, more efficient, without hiring one.
What Teikametrics looked like before the system was installed, what was built during the engagement, and the results after.
Visit Teikametrics- Industry
- E-commerce SaaS
- Company size
- 201–500 employees
- Engagement
- 12 months
- Stack
- Smartlead, LinkedIn Sales Navigator, Clay, SmartScout, HubSpot
Strong closers and rising ACV, but not enough pipeline to feed them
Teikametrics helps Amazon and Walmart sellers grow through AI-driven bidding, predictive analytics and inventory optimization, for brands including Carhartt, Dermalogica, Dickies and Wyze. The company has more than 200 employees and a sales team that was already doing outbound.
Outbound was not keeping pace. BDRs moved between Apollo, HubSpot and SmartScout by hand, which wasted hours and made personalization hit or miss. Marketing returns were flattening, and pipeline fell short of ambition.
The default fix was hiring more BDRs. The CRO did not want the default.
Pipeline short of what the closers could handle
BDRs juggling three tools by hand
Inconsistent personalization
Diminishing returns from marketing
“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.”
A repeatable outbound system in four moves, over 12 months
Every manual step (finding prospects, enriching data, sending campaigns) became automated, while the messaging stayed human.
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1
Rethink the stack, do not expand it
Smartlead for reliable high-volume sending, LinkedIn Sales Navigator for precise targeting, and Clay paired with the SmartScout API for automated prospecting and enrichment. HubSpot stayed as the anchor CRM.
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2
Ruthless targeting
Instead of reaching every Amazon seller, custom SmartScout reports surfaced exactly the sellers in the ideal customer profile. This single lever did more than any other.
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3
Pain-led messaging
Copy spoke to the problems sellers actually have (overspending on ads, stockouts, inconsistent performance) and tied each one back to how Teikametrics solves it.
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4
Weekly reviews
A 12-month collaboration with weekly reviews of subject lines, filters and tactics, so small improvements compounded month over month.
Custom SmartScout reports
Target lists built from custom SmartScout reports that match the ideal customer profile, instead of every seller on Amazon.
Automated list building
The SmartScout API in Clay builds and enriches lists automatically, so nobody builds a list by hand.
Problem-to-solution copy
Each email leads with a specific seller problem and ties it back to how Teikametrics solves it.
$300K+ in new pipeline by month 9, and 100+ hours saved every month
By month nine the system had generated more than $300K in new pipeline, recovered over 100 hours of team time every month, and left zero manual list-building.
The fastest win came in week one: a competitor's user replied and the deal closed within a week. In the CRO's own words, that first deal paid for the whole program.
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.
Want an engine like this, that you own?
We build the same systems inside your stack in a fixed sprint, then hand you the keys.
Book a Strategy CallDelivered through the GTM Agency partner network. Metrics as reported by each engagement.