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You're optimising toward the wrong event

Almost every B2B account we audit feeds form submissions back to the ad platforms. The platforms then get very good at finding people who fill in forms and never buy.

What's different here

The defining measurement problem in B2B is not lost events, it is the wrong event. A demo request fires immediately and is easy to wire up; a closed-won deal happens months later in a CRM nobody connected. So the optimisation signal is a proxy that correlates weakly with revenue, and the algorithm does exactly what you asked — it finds more of the proxy. Closing that loop changes performance more than any collection work.

+34%conversions recoveredb2b saas average

B2B SaaS clients

NorthwindLumen LabsHarborlineVerdantAtlas FoodsPoka HealthBrightsideCobalt BankMeridianArdentFoundryKestrel
Vertical-specific tactics

What analytics & measurement looks like for SaaS companies.

These are the plays that wouldn't appear on a generic analytics & measurement page — they only make sense in b2b saas.

01

Import closed-won back to the ad platforms

Offline conversion import sends the actual outcome, with its value, back to where the bidding happens. It is fiddly, it requires the CRM to hold the original click identifier, and it is the single highest-return measurement project available to a B2B advertiser.

02

Optimise on qualified pipeline where volume is thin

Closed-won is often too rare to optimise on directly. Sales-accepted opportunity is usually the deepest event with enough weekly volume to keep campaigns out of permanent learning, and it correlates far better with revenue than a form fill.

03

Report on pipeline created in period

With a long cycle, revenue booked this quarter reflects demand generated last quarter. Reporting bookings against current spend makes good months look bad and bad months look good, and it is why marketing and finance argue.

04

Instrument the self-serve and sales-led paths separately

Most SaaS runs both, with completely different economics and cycle lengths. Blending them produces an average that describes neither and hides which motion is actually working.

The constraints

What holds SaaS companies back

01

Sales ignores marketing leads

The clearest sign your targeting is wrong. Volume-based lead gen optimizes for people who download things, not people who buy things.

02

CAC payback is too long

Boards get nervous above 12 months. Fixing payback usually means better conversion and expansion revenue, not cheaper clicks.

03

Growth stops when spend stops

If every deal traces to paid, you have no compounding asset. Organic and product-led motions are what change the shape of the curve.

04

You sound like every competitor

Undifferentiated positioning turns every deal into a feature comparison and a price negotiation.

What's included

The full scope.

Everything in a analytics & measurement engagement, applied to b2b saas.

01

Measurement audit and event map

Every event, where it fires, what it means and whether it correlates with revenue. Most accounts are optimising toward an event chosen because it was easy to implement rather than because it predicts money.

02

Server-side collection with deduplication

Events sent from your own infrastructure with a shared identifier so browser and server transmission cannot double-count. Running both without that identifier inflates conversions by a large margin, and teams celebrate it.

03

Consent-aware implementation

Collection that respects consent state by design rather than by a banner bolted on afterwards. This is a legal requirement in several markets and, done properly, recovers more usable signal than the non-compliant version most sites are running.

04

One revenue number, from your own systems

Blended efficiency calculated from your actual revenue and total spend. It cannot be double-counted or inflated by a platform, which is why it is the only paid metric that has not degraded.

05

Geo holdout test design and analysis

Switch a channel off in matched regions, run it past the purchase cycle, compare against control. It costs real revenue in the test markets and it is the only method here that answers the causal question.

06

Reporting a finance team will sign

A single view reconciling marketing-reported performance against booked revenue, with the methodology written down so nobody can quietly change models between quarters.

The process

How this runs.

  1. Audit and reconcile

    Week 1–2

    We map every event and compare summed platform-claimed revenue against what your finance system actually recorded. The size of that gap is usually the moment the project gets prioritised.

  2. Rebuild collection

    Week 2–4

    Server-side transmission, deduplication, consent handling, and re-pointing optimisation at the event that correlates with revenue rather than the one that fires most often.

  3. Validate against reality

    Week 4–5

    A parallel run comparing new collection against your order data, because a tracking implementation nobody reconciled is a hypothesis rather than a measurement.

  4. Design the holdout

    Week 5–6

    Matched test and control regions, a run length set by your purchase cycle, and a pre-registered analysis so the result cannot be reinterpreted afterwards.

  5. Read the result and reallocate

    Post-test

    The incremental figure usually differs sharply from the attributed one, most often on brand search and remarketing. That difference is the budget decision.

  6. Hand over the documentation

    Ongoing

    Event map, methodology and test protocol written down and yours. If you leave, the implementation does not stop making sense.

Investment

Scoped like the core service, no surcharge.

Every engagement is quoted from your actual brief. There's no vertical surcharge for this combination — request a quote and we'll scope it properly.

Audit

Teams who suspect the numbers are wrong and need to know how wrong.

Scoped to your brief

  • Full event and tag audit
  • Platform vs actual revenue reconciliation
  • Consent and compliance review
  • Prioritised remediation plan
  • Findings session with your team
  • Documentation yours to keep
Request a quote
Most popular

Rebuild

Companies acting on data they cannot currently defend.

Scoped to your brief

  • Everything in Audit
  • Server-side collection implementation
  • Deduplication and consent handling
  • Conversion event re-mapping
  • Parallel validation against order data
  • Blended efficiency reporting
  • 60 days of post-launch support
Request a quote

Measurement partner

Accounts where testing needs to be continuous rather than a project.

Scoped to your brief

  • Everything in Rebuild
  • Quarterly geo holdout programme
  • Ongoing reconciliation and QA
  • Incrementality-informed budget guidance
  • Board-ready reporting pack
  • Named analytics lead
Request a quote

All engagements start with a free audit. Prices exclude media spend, which you pay directly to the platforms on accounts you own.

Questions

B2B SaaS questions, answered straight.

Yes, but you have to change what you measure rather than trying to shorten the feedback loop. Report pipeline created rather than revenue booked, optimise on the deepest event with enough weekly volume to be stable, and accept that any judgement on a campaign is provisional until a full cycle has passed. What does not work is the common compromise — optimising on form fills because they are fast — which trains the platform to find people who will never buy.

Analytics & Measurement × B2B SaaS

Let's talk about your growth constraint.

Almost every B2B account we audit feeds form submissions back to the ad platforms. The platforms then get very good at finding people who fill in forms and never buy.

Our commitment: The audit is fixed-fee and the findings are yours regardless — including if the conclusion is that your measurement is fine and you should spend the money elsewhere.