01 · Capture
Server-side, no sampling, no defaults.
Server-side tracking with GTM. GA4 configured for B2B funnels — not e-commerce defaults. Event taxonomy mapped to your buyer journey. Data piped to BigQuery for full ownership and zero sampling.
Pipeline Intelligence · Data & Analytics
The dashboard says yes. The pipeline says no.
Most of the conversions that matter happen after the click — in your CRM, weeks later. Most ad platforms never see them. Pipeline Intelligence is how we get those signals back.
+227%
marketing-sourced pipeline growth · IRONSCALES · HubSpot offline conversion sync
Five business days. Senior practitioner. No deck.
LinkedIn Ads Certified
Google Premier Partner
Microsoft Select Partner
Meta Business Partner
G2
★ 4.9
The gap
The dashboard says yes. The pipeline says no.
Marketing dashboard
All greenCTR2.4% ↑
Impressions2.1M ↑
MQLs487 ↑
Cost per MQL$184 ↓
Salesforce pipeline · Q2
Behind plan
Stage 1 Opps14 / 60
Stage 2 Opps5 / 35
Marketing-sourced ARR$1.4M
Forecast attainment
42%
"This is the conversation every CMO has with their CFO."
Most B2B marketing organizations measure activity. Clicks. Impressions. MQLs. The dashboard is healthy. Then the pipeline review starts and the numbers don't reconcile.
Three things break the chain:
- 01 Form-fill leads aren't tied to deal outcomes. The algorithm is optimizing for whoever fills out a form — not whoever closes a deal.
- 02 First-party data sits in the CRM. The ad platforms never see it. They're flying blind.
- 03 Attribution stops at the click. What happens after — qualification, opportunity creation, won revenue — never feeds back into the bidding model.
This is the gap Pipeline Intelligence closes.
The architecture
What we build, end-to-end.
Pipeline Intelligence is the data layer that connects every marketing dollar to every revenue outcome. Three stages. One closed loop.
3
CRMs supported — HubSpot, Salesforce, Marketo
9
ad platforms supported end-to-end
4–6
weeks · average deployment time
Live · Pipeline Intelligence reference architecture
02 · Identify
First-party identity, ICP-scored.
First-party identity resolution. Cookieless tracking via hashed emails. UserID stitching across sessions, devices, and CRM records. ICP scoring rules that turn raw lead data into qualified pipeline signal.
03 · Activate
Deal-stage signals, fed back live.
Offline conversion tracking pushed to Google Ads, LinkedIn, Bing, and Meta. Salesforce, HubSpot, or Marketo deal-stage signals feeding the bid algorithm. Lead → MQL → SQL → Opportunity → Closed-Won, all flowing back as conversion data the platforms can optimize against.
What this replaces
All the right tools. None of them talking.
Standard B2B stack
DISCONNECTEDPipeline Intelligence stack
CONNECTEDMost B2B marketing stacks have all the right tools — and none of them talking to each other. GA4 is installed. The CRM is populated. The ad platforms are running. But the data never flows the right direction.
Pipeline Intelligence isn't a new tool. It's the integration layer that connects what you already have, plus the data activation that makes those connections useful for revenue optimization — not just reporting.
From form-fills to deals.
Bid optimization aligns to revenue, not lead volume.
From last-click to full-funnel.
Attribution covers awareness through closed-won, not just the final touch.
From CRM data trapped in CRM, to CRM data activated everywhere.
Sales-qualified signals power marketing decisions automatically.
From dashboards no one trusts, to a single source of truth your CFO accepts.
Auditable, owned by you, reconciled to CRM truth.
Proof
What this looks like
IRONSCALES
Email Security
2.3×
pipeline in 90 days on HubSpot offline conversion sync
Built first-party data activation with HubSpot offline conversion sync. The platform-side conversion volume jumped because the data layer surfaced opportunities HubSpot native couldn't match back to ad clicks. Outcome: 2.3× pipeline in 90 days, 92% MQL increase at the same Cost/MQL.
HubSpot
sGTM
Offline Conv.
See the work
SnapLogic
iPaaS
11×
ROAS on opportunities
Value-based bidding tied to CRM-defined ICP signals. Lead scoring rules pushed to Google Ads as offline conversion values. Algorithm started bidding on accounts that close, not contacts that convert. 125% increase in Stage 1 Opps.
Salesforce
Google Ads
Value-based bidding
See the work
Payhawk
Expense Management
+21%
more conversion events captured
Server-side tagging via Google Tag Manager + Meta’s Conversions API. Direct server-to-server data pipeline replaced the leaky client-side layer. 21% more conversion events, 58% more PageView events.
sGTM
Meta CAPI
GCP
See the work
SmartRecruiters
HR Tech
−88%
cost per MQL
Marketo + Salesforce + Google Ads integration via Offline Conversion Tracking. The bid algorithm learned from MQL → SQL conversion rates, not raw lead volume. 4× opportunities at 50% budget.
Marketo
Salesforce
Google Ads
See the work
How it gets built
Twelve weeks. End to end.
Pipeline Intelligence isn't a six-month consulting engagement. The architecture above gets stood up in twelve weeks — most of it sooner.
WEEK 1–2
Audit and architect.
RevOps audit. CRM hygiene check. Server-side GTM container deployed. Data warehouse provisioned. Event taxonomy designed against your actual buyer journey.
WEEK 3–6
Activate the loop.
Offline conversion tracking live across Google, LinkedIn, Bing. CRM deal-stage signals piping back to ad platforms. First-party identity stitching deployed. Lead scoring rules in production.
WEEK 7–12
Optimize and prove.
Attribution model live in Looker Studio or your BI tool of choice. CFO-grade reporting deck delivered monthly. Pipeline contribution measured against pre-engagement baseline.
Frequently asked
Questions we get from technical buyers.
“How is this different from just installing GA4 server-side?”
Server-side GA4 is the first step — it solves the data capture problem (ad-blocker loss, ITP, consent). It doesn’t solve the activation problem: deal-stage signals still aren’t flowing back to the ad platforms. Pipeline Intelligence is the whole loop. Server-side GTM is one part of it.
“We use HubSpot, not Salesforce. Does this still work?”
Yes. We’ve built this on HubSpot, Salesforce, and Marketo — including the IRONSCALES case above, which is HubSpot-native. The CRM is the source of truth. The platform doesn’t matter as much as the data discipline.
“How long before we see results?”
First architecture in production: 4–6 weeks. First measurable pipeline lift: typically by week 10 in our pilots. The 90-day pilot model is built around proving this — fixed scope, fixed fee, pipeline target agreed up front.
Commercial confidence
Why we can offer 30-day notice.
Most agencies can't underwrite a 30-day notice clause because they can't prove what they're producing. We can — because the data layer above is auditable, owned by you, and tied to your CRM. If we're not generating pipeline, you'll see it before we do.
Commercial guarantee
No 12-month lock-in. No surprise scope fees. Renewal earned quarterly.
30-day notice from day one
Cancel any time. The contract doesn't trap you.
Fixed-fee pilots, no scope creep
What you signed for is what you pay. Always.
Renewal earned every quarter
Pipeline targets reviewed at QBR. The work earns the next quarter.
Every engagement runs on 30-day notice from day one. We back it because we own the data and prove the pipeline.
One last thing
See where your pipeline data is leaking. In five days.
The Pipeline Assessment includes a measurement gap analysis across GA4, sGTM, and CRM — a diagnostic of exactly what Pipeline Intelligence would build for you.
Five days. The audit, the gaps, and the fix list — yours to keep.