adver/ services/ operations
Track 03 · the revenue engine
HubSpot · Salesforce · Segment · Clay
€18M+ pipeline built

Revenue Ops

We don't audit your CRM — we rebuild the revenue engine from the pipes up.

Operations end-to-end: CRM architecture, lead scoring, attribution modelling and the weekly pipeline read — built so the number is one you can actually trust.

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the stack · wired end-to-end
v2026.05 12 integrations · one ops layer · one invoice
HHubSpot SfSalesforce SgSegment CClay ApApollo AtAirtable NNotion SSlack ZZapier LoLooker CbClearbit LiLinear
01 — the idea

Most RevOps is just a CRM with new fields. We make revenue legible.

You've felt the other model: six tools, four spreadsheets, a pipeline meeting where nobody agrees on the number, and "we'll clean it up next quarter." We rebuild the data layer from scratch — so the number you report is the number you can act on.

the painDisconnected tools, broken handoffs, and a pipeline that reflects what sales entered — not what's actually going to close.
the answerAn operator maps every handoff. Adver audits the full stack, rebuilds the data layer, and installs a scoring model built on your actual closed-won data.
the powerFirst clean pipeline read in 3 weeks. Then a weekly number, a real forecast, and attribution that connects your spend to your pipeline.
NOISE fragmented · misattributed · stale SIGNAL clean · scored · attributed SIGNAL LOCKED REVENUE METRICS · POST-ADVER DATA ACCURACY 94% LEAD SCORING 88% ATTRIBUTION 82% FORECAST ACC. 96%
€18M+ pipeline built SQL rate +3.4× 3 wk to first clean read
the objection · why the pipeline number is always wrong
The patchwork model18%

Most pipeline data is entered by sales after the fact, pulled from memory, and tagged to the wrong source. On average, less than 20% of pipeline is correctly attributed to its actual origin.

The Adver way100%

Clean pipes. Real scores. Every lead tracked from first touch, scored against real closed-won data, and attributed to the channel that actually created the opportunity — not the last one to touch it.

02 — four ways in
/01
Pipes.

CRM architecture and data infrastructure rebuilt from scratch. We clean the pipes before adding more water — every field, property, integration, and handoff mapped, synced, and documented.

CRM setupintegrationsdata hygiene
I'm interested
/02
Score

A scoring model built on your actual closed-won data — not a template from the help docs. MQL defined to the handoff point. ICP modelled to the buyer. SQL rules that sales actually trust.

scoring modelMQL / SQLICP definition
I'm interested
/03
Track

Multi-touch attribution that connects your spend to your pipeline — not a last-click model that hands all the credit to whatever touchpoint happened to come last. Built to survive iOS, consent, and GA4.

multi-touchchannel ROIconversion paths
I'm interested
/04
Read

The weekly revenue read. One source of truth, one number, one meeting that's actually useful. Pipeline health, forecast accuracy, and the three things to change this week — not a 40-slide deck.

forecastingpipeline healthweekly read
I'm interested
03 — how the track runs
/01audit

Audit.

One week, read-only. We map every tool, every field, every handoff — and find exactly where the data breaks before a single change is made.

/02map

Map.

A single diagram: how data flows from first touch to closed revenue. Every stage, every owner, every rule — one page, no ambiguity.

/03build

Build.

Four to eight weeks. Scoring model, integrations, attribution layer — installed, QA'd to every edge case, and documented so it survives the next hire.

/04run

Run.

Ongoing. Weekly pipeline read, monthly model refresh, quarterly deep audit. Adver is named on the contract — the work is not handed off.

04 — the shape of it
— engagement €8k → €40k
— format 6–12 wk · embed
— first clean read 3 weeks in
— allocation 1 of 2 seats · q3

Bring us the pipeline. We'll make it tell the truth.

Book an operations sprint ← back to all tracks
allocated by quarter · q3 2026 · 1 of 2 seats open