Tax and accounting
54% better lead quality after using LeadJourney for marketing
Karsten Guhr
Managing Director
Read the storyUse case
Hundreds of ads. No way to see what works for whom.
LeadJourney joins your ads manager to your CRM, so you can slice campaign performance by deal stage, industry or deal size.
- Works with your CRM
- Any dimension, any metric
Rated by the teams who fixed this first
Slices by the CRM you already run
The same question, twice
What your ads manager showsOne sort order: cost per lead
- Campaign report
- CPL and volume only
- Deal stage
- In the CRM only
- Industry
- In the CRM only
- Deal size
- In the CRM only
- What works for whom
- Gut feeling
LeadJourney joins ads to CRM fields
The same account, joinedCRM fields as report dimensions
- Slice by
- Stage, industry, size
- SaaS leads
- €61 CPL, 22% close
- Agency leads
- €19 CPL, 2% close
- Deals over €25k
- From 2 campaigns
- What works for whom
- A report, not a hunch
Same ads, same CRM. Sorted by CPL, the agency campaign wins. Sliced by industry and close rate, it is the expensive one, and the two campaigns quietly producing the large deals finally show up.
The problem
The ads manager knows the ads. The CRM knows the people. Neither knows both.
Segmenting what works for whom needs one table with the campaign on one axis and a CRM field on the other. That table cannot be built inside either tool, because the link between the ad and the person only exists if something recorded it at click time.
Why the slice is impossible today
Two tools, one missing join key
- The ads manager breaks performance down by its own dimensions: age, placement, device. Never by what the lead became.
- The CRM holds stage, industry and deal size, but not which ad or creative produced the record.
- Pivoting ad exports against CRM exports in a spreadsheet needs a lead level join key neither export contains.
- iOS, ad blockers and cookie banners break the browser tracking that could have carried that key.
- So all ads are judged on one metric, CPL, which hides that campaigns win with completely different audiences.
- Scaling means buying more of the cheapest leads, whoever they turn out to be.
The same account with LeadJourney
One dataset, campaign and CRM fields joined
- Every lead carries its campaign, ad and creative from the first click, tracked server-side at 95%+ accuracy.
- The CRM record is synced to the same lead, so deal stage, industry and deal size sit next to the journey.
- You map which fields sync, so the dimensions are your fields, named the way your team named them.
- The report builder works on the raw journey data: any dimension, any metric, no BI licence in the way.
- Cost, CPL, qualified rate and revenue can be split by any synced CRM field, per campaign or per ad.
- Budget follows the slice: the ads that bring the deals you actually want, not the cheapest form fills.
The fix
Sliced in the report builder, acted on in the campaigns
A segment is only worth building if it changes a decision. LeadJourney builds the slice from raw journey data, then gives you the levers: budget, audiences and alerts that follow it.
Build the slice in LeadJourney
Raw journey data, your dimensions
- Campaign performance split by deal stage, industry, deal size or any CRM field you have mapped.
- Cost, cost per qualified lead, close rate and revenue per segment, next to each other in one table.
- Every cell is backed by real leads: open the segment and read the journeys behind the number.
- Or skip the building and ask Atlas: "which campaigns produce our enterprise deals" gets the table as the answer.
Act on it in your campaigns
Where the segment earns its keep
- Move budget toward the campaigns that win the segment you want, with the revenue evidence attached.
- Build synced audiences from what LeadJourney knows: qualified leads, open opportunities, closed customers.
- Send the stages that matter back to Meta, Google and LinkedIn, so bidding optimises toward the segment too.
- Alerts flag cost spikes and drops in lead quality per campaign, before a month of budget follows them.
What changes
The questions a CPL column could never answer
Every one of these is a report in LeadJourney, not a data project. The dimensions are your own CRM fields, so the answers arrive in your team's vocabulary.
Which campaigns produce the leads that reach proposal stage, not just the cheapest ones?
Which ads bring enterprise sized deals, and which fill the funnel with small ones?
Which industries respond to which creatives, measured in closed revenue?
What does a lead cost per segment, and what does a customer cost per segment?
Which audience is quietly producing the deals sales celebrates?
Where should the next budget increase go, if the goal is deals over a threshold rather than lead volume?
Case studies
Teams that already run on these answers
One measured result per customer, reported by the customer. The stories closest to this use case come first.
Klickkraft GmbH
Business coaching
€10-20k in monthly Meta spend, tied to qualified leads and revenue per ad
Florian Buck
Managing Director
Read the story
SEO agency
95% clarity about marketing KPIs and a foundation to scale
Nikita Yatsun
Managing Director
Read the story
LinkedIn growth agency
2x customer retention, once every LinkedIn touchpoint was tracked to revenue
Marc Richard
CEO
Read the story
Digital publishing
Which article produced the lead and the revenue, across AI and organic search
Andreas Malkow
CEO & Head of PR
Read the story
SEO and GEO agency
Proven ROI on every retainer, from organic and AI search leads through to revenue
Philipp Nessmann
Managing Director
Read the story
Getreach
Backlinks marketplace (SaaS)
Setup
From one CPL column to your own dimensions in about 21 minutes
No data warehouse, no BI project, and the fields stay exactly where your team maintains them.
Acme SaaS
FAQ
What teams ask before switching this on
If yours is not here, our team answers in the chat within a few minutes.
How do I segment ad performance by CRM data?
You need every lead to carry two things at once: the campaign and ad that produced it, and the CRM fields that describe what it became. LeadJourney records the first at click time, syncs the second from your CRM, and its report builder turns any synced field into a reporting dimension on campaign performance.
Which CRM fields can I use in reports?
Deal stage and deal value sync on every CRM integration, and fields like industry or deal size come along when you map them. The mapping is per field, so the dimensions in your reports are the fields your team actually maintains, with their own names. What you can slice by depends on what you choose to sync.
Do I need a data warehouse or a BI tool for this?
No. The report builder works directly on the raw journey data LeadJourney already holds, so any dimension and any metric are available without an analyst, a warehouse or a BI licence in the way. Enterprise stacks that want the raw dataset in their own warehouse will be able to sync it there once the warehouse export ships; it is on the roadmap.
How is this different from the breakdowns in Meta Ads Manager?
Meta can break performance down by its own dimensions: age, placement, device, region. It cannot break performance down by what the lead became in your CRM, because it never learns that. The slices this page describes need the CRM outcome joined to the click, which is exactly the join LeadJourney maintains.
Can I target the segments, not just report on them?
Yes. You can build synced audiences from what LeadJourney knows about your leads, such as qualified leads, open opportunities or closed customers, and send the stages that matter back to Meta, Google and LinkedIn as conversion events, so bidding optimises toward the segment as well.
How much data do I need before the slices mean anything?
Tracking starts when the snippet goes live, so the slices build at the speed of your own funnel. High volume accounts see meaningful segments within weeks; the sooner the snippet is in, the sooner every ad euro is labelled. Setup takes about 21 minutes.
Is this GDPR compliant?
Yes. Data is processed and stored in the EU, we sign a data processing agreement, and tracking runs first-party and server-side, so it respects consent decisions rather than working around them.
Your fields, your dimensions
Slice your own campaigns by the fields that matter
Book a demo and we build the first segment report on your campaigns and your CRM fields, live on the call.
