The context
When Teikametrics first came to us, they didn’t need convincing about their product.
They were already a strong SaaS player, powering some of the world’s best-known marketplace brands: Carhartt, Dermalogica, Dickies, and Wyze. Their AI platform helps Amazon and Walmart sellers scale with smarter bidding, predictive analytics, and inventory optimization.
The company had over 200 employees, and their sales team was already busy with outbound. But when we sat down with them, one thing became obvious: their outbound engine wasn’t keeping up with their ambitions.
They had BDRs sending emails, juggling Apollo, Hubspot, and Smartscout. But too much of it was manual, scattered, and inconsistent.
The result? Time wasted, hit-or-miss personalization, and not enough pipeline to show for the effort.
That was the gap they wanted us to solve.
The challenge: Turning effort into a predictable pipeline
The ask was clear and practical:
- Stop wasting BDR time on endless manual prospecting.
- Build an automated, reliable outbound motion.
- Target Amazon sellers and brands that actually fit their ICP.
- And most importantly, generate a measurable pipeline fast.
For a company like Teikametrics, pipeline isn’t just a number. It’s the fuel that powers sales growth. If outbound stayed stuck in the mud, they’d either need to hire more reps or risk plateauing.
Neither option was appealing.
Our approach: Building the system (step by step)
We didn’t promise magic. What we promised was a repeatable system.
And we started by fixing the foundations.
1. Rethinking the tool stack
We swapped out parts of their toolkit and layered in what we knew would scale:
- Smartlead for high-volume, reliable email outreach.
- LinkedIn Sales Navigator for precision targeting.
- Clay + Smartscout API for automated prospecting and enrichment.
- Hubspot remained the anchor CRM.
The goal wasn’t to add “more tools.” It was to make sure every step of the outbound process (finding prospects, enriching data + sending campaigns) was automated but still human in tone.
2. Getting ruthlessly clear on the ICP
Instead of a broad “let’s reach everyone on Amazon” approach, we dug into their ideal customers. Using Smartscout, we built custom reports that surfaced exactly the sellers who matched Teikametrics’ sweet spot.
That clarity meant less noise, more signal.
3. Automating outreach without losing the human touch
With the data flowing, we set up campaigns that felt personal, not robotic.
The messaging spoke to the actual problems sellers face (overspending on ads, stockouts, inconsistent performance) and tied it back to how Teikametrics solves those challenges.
4. Constant feedback & Iteration
Outbound isn’t a “set and forget” machine. Every week, we looked at what worked, what flopped, and we adjusted. Sometimes it meant tweaking subject lines. Other times it meant refining the Smartscout filters.
Small changes, compounded over months, created big gains.
This definitely wasn’t just a project.
It was a 12-month collaboration where we built, tested, and scaled together.
The outcome: From manual hustle to $300K+ pipeline
By 9 nine, the results spoke for themselves: $300K+ in new pipeline generated.
And the best part? The reps weren’t burning out over spreadsheets and endless manual list-building anymore.
The single biggest lever was targeting Amazon sellers using custom Smartscout reports. Pairing that with Smartlead’s automated campaigns turned out to be the sweet spot = personalized outreach at scale, without drowning the sales team in manual tasks.
Ben shared one of the quick wins:
But beyond the number, there was a mindset shift.
Teikametrics’ sales team went from reactive, manual hustle to having a scalable outbound engine they could trust. That confidence freed them up to focus on conversations and closing deals, not just chasing contacts.
Lessons learned
Looking back, a few lessons stand out:
- Outbound doesn’t scale on effort alone. Without automation and clarity on ICP, more hours just mean more wasted energy.
- The right data makes the biggest difference. Tools like Smartscout aren’t magic by themselves—but when used to sharpen targeting, they’re game-changing.
- Iteration is the secret weapon. Weekly refinements, not one big overhaul, are what kept performance climbing.
What’s next
For Teikametrics, the outbound engine is now humming. The next step is layering on even deeper personalization and expanding into adjacent customer segments. For us, this collaboration reinforced why we do what we do: building practical, data-driven systems that turn outreach into revenue.
Because at the end of the day, this isn’t about tools or dashboards. It’s about giving sales teams their time back and proving, with hard numbers, that outbound can work at scale.
If you want the same results, just book a GTM Strategy Call with us to talk about what outcomes we can achieve together.
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