How TripleScale Booked 61 Ecommerce Meetings and Closed 6 Clients in 8 Months

Results at a glance — 8 months

The short version

TripleScale is a Meta ads and creative agency. They work only with DTC (direct-to-consumer) ecommerce brands doing $10M+ in revenue and spending $10K+ a month on Meta. Their deals were strong. Their pipeline wasn’t predictable.

Almost all of it came from referrals and inbound. They had tried outbound on their own — LinkedIn and Apollo — but it never produced anything consistent, especially for ecommerce brands.

In eight months with us, they booked 61 meetings, qualified 36, and closed 6 clients — including NeuroGum, one of the largest supplement brands in its category. That’s an estimated €120K–€180K in contract value, with two more deals close to signing.

Here’s how we did it.

The situation: strong deals, unpredictable pipeline

TripleScale works exclusively with DTC ecommerce brands at real scale — $10M+ in revenue, $10K+ a month on Meta. Deividas Tokaris runs it. The work was good and the clients were strong. The problem was where those clients came from.

Almost every deal came from referrals and inbound. Quality was high, but volume swung — feast or famine. They had tried to fix that with outbound, through LinkedIn and Apollo. It produced the occasional conversation. It never produced consistency, especially when the target was ecommerce brands.

The problem

Three things capped their outbound. All three traced back to the same root: their tools couldn’t see the ecommerce market clearly.

• Apollo and LinkedIn don’t find ecommerce brands. Most prospects from them weren’t real operators. Many were inactive, or too small to have real ad budgets. The fit rate was low.

• No way to verify ad spend before outreach. TripleScale’s whole pitch depends on a brand already spending real money on Meta. Nothing in the old process confirmed that before a message went out.

• No systematic segmentation. They knew their best clients anecdotally. But they had no system to prove which verticals, roles, or brand profiles actually converted at scale.

What we built: three systems

We didn’t just send more outreach. We built three systems that stack on top of each other. Each one feeds the next.

System 1 — Ecommerce-specific data sourcing

We moved off Apollo and LinkedIn entirely.

• We sourced from StoreLeads, plus in-house scraping and verification, to find real ecommerce operators.

• We verified every prospect through cart and checkout. That confirmed each one was an active, transacting store.

• We scraped full websites to learn each brand’s product focus and who they actually sell to.

System 2 — Research-per-unit micro-segmentation

We analyzed every prospect individually. No one got treated as just another name on an ecommerce list. We segmented each by:

• Role and decision-making authority

• Vertical and product category

• Market sophistication

• Meta and creative-specific pain points

This let us test different verticals and angles in parallel. We could see which segments converted best. TripleScale has used that insight since — to shape their own acquisition and positioning.

System 3 — The Meta Ad Library engine

This is the core of how prospects are now found, ranked, and approached. We built it over the engagement. It now runs continuously.

Continuous ad-library scan. We run an ongoing scan of the Meta Ad Library across the entire ecommerce prospect universe. Every brand’s live ad activity feeds straight into our Clay tables.

Spend-based tiering. Every brand gets ranked by how much it’s spending on Meta right now. So we tier the whole list by real, current ad investment — not a guess based on company size.

Automated Meta Ads scorecard. We build one for each prospect from that same ad-library data: live creative, ad copy, format, and how many days each ad has been running. Long-running, unrefreshed ads are one of the clearest fatigue signals in the category. Deividas spent years learning to spot that pattern by hand, across hundreds of accounts. We encoded his exact playbook into the system. Now the diagnosis runs automatically for every prospect, before a single message goes out. The scorecard shows the prospect what’s live in their account, what’s working, where the gaps are, and what a managed account at their spend level usually delivers instead.

Signal-based outreach. The scan runs continuously, not once. So we catch the moment a brand’s pattern changes — a sudden drop in spend, a pause in new creative, a competitor moving into their audience. When a signal fires, outreach goes out automatically, tied to what’s happening in that account right then.

Why the engine worked

The results

Eight months in, outbound had become a predictable pipeline — in a market Apollo and LinkedIn had never cracked for them.

Closed clients: NeuroGum (one of the largest supplement brands in its category), Walderinska, The Haut, PetJope, Reglo, and Couch Clues.

At TripleScale’s numbers — a €5K average order value and 4–6 months average retention — the 6 closed deals represent roughly €120K–€180K in contract value. Two more deals are close to signing. At the same rates, they’d add roughly €40K–€60K on top.

The bigger outcome: outbound that doubles as market intelligence

The engine did more than fill the calendar. It gave TripleScale a live, ranked view of their whole market — which brands are spending, how much, and when that spend shifts.

Over eight months, outbound became more than a booking channel. It became a source of market intelligence. It now shapes how TripleScale positions itself against the brands actually worth chasing.

Key takeaways

• Sell against live data, not a static list. Ranking brands by real Meta spend beats guessing from company size.

• Encode the expert’s eye. Deividas’s manual fatigue-spotting became an automated scorecard that runs on every prospect.

• Trigger outreach, don’t schedule it. Firing when an account actually changes beats blasting on a calendar.

• Outbound can pay twice. The same engine that books meetings also maps the market.

FAQ

What is a Meta Ads scorecard?

It’s a report built from a brand’s own live Meta ads — creative, copy, format, and how long each ad has been running. It shows the prospect what’s working, where the gaps are, and what a managed account at their spend level usually delivers instead. For TripleScale, one runs automatically for every prospect before any outreach.

How do you verify a brand’s ad spend before reaching out?

We run a continuous scan of the Meta Ad Library across the whole ecommerce prospect universe and feed it into Clay. Every brand is then tiered by how much it’s spending on Meta right now — so outreach only targets brands with real, current ad budgets.

How is this different from Apollo or LinkedIn outbound?

Apollo and LinkedIn can’t reliably identify active ecommerce operators or confirm ad spend. We source verified, transacting stores, rank them by live Meta investment, and reach out based on what’s actually happening in each account.

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