
SEO agency
95% clarity about marketing KPIs and a foundation to scale
Nikita Yatsun
Managing Director
Read the storyUse case
LeadJourney builds the report from live attribution and CRM data, then posts it to Slack, email or WhatsApp before anyone asks.
Rated by the teams who fixed this first
Delivered where your team already works
One weekly report, before and after
Same numbers, same recipients. The difference is that nobody spent an afternoon copying them into a spreadsheet, and the report reads the same figures as the dashboard.
The problem
The report takes hours because the numbers live in tools that do not talk to each other: each ad platform, the analytics, the CRM. The spreadsheet is where a person does the joining that no system did, and it has to be done again every week.
A person is the integration layer
The joining happens once, in the platform
The fix
Two halves of the same automation. LeadJourney holds the live, joined data and writes the report from it; Slack, email and WhatsApp are where it lands, on schedule, in the channel the team already checks.
From live attribution and CRM data
Slack, email or WhatsApp, on schedule
Watch it
One live dashboard in place of the Excel, Meta and Google exports that the report currently gets stitched together from.
What changes
Every one of these is a scheduled report or a one line question in LeadJourney, not an export. The hours the spreadsheet used to take go back into the campaigns the report is about.
What did each channel cost per qualified lead last week?
Which campaigns produced closed revenue this month?
How does this quarter compare to last quarter, channel by channel?
Which ad sets spend budget but never reach a demo?
What changed since Monday's report?
Which cost spike should we look at before it grows?
Case studies
One measured result per customer, reported by the customer. The stories closest to this use case come first.

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
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
Tax and accounting
54% better lead quality after using LeadJourney for marketing
Karsten Guhr
Managing Director
Read the story
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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 storyGetreach
Backlinks marketplace (SaaS)
Setup
No developer, no BI project, and nothing new for the team to check.
FAQ
If yours is not here, our team answers in the chat within a few minutes.
LeadJourney already holds the joined data a report needs: every journey, spend per campaign and the revenue from your CRM, all live. Atlas, the AI analyst, writes summaries from that data on the schedule you set, daily, weekly or monthly, and delivers them to the channel you choose. There is no export step because there is nothing left to join by hand.
Slack, email or WhatsApp. Lead alerts and summaries post straight into a Slack channel, and the same reports go out by email or WhatsApp for the people who work elsewhere.
Yes. The custom report builder works on raw event data, so any dimension and any metric your team asks for can be in it, from cost per qualified lead to revenue per landing page. The scheduled summaries are built from the same reports you shape yourself.
Looker Studio rearranges whatever numbers you feed it, and keeping those feeds alive is its own weekly job. LeadJourney owns the data end: server-side tracking joined to CRM revenue, live. The report is written from that dataset and delivered, rather than waiting on a dashboard someone has to open and maintain.
Teams measure around 15+ hours of reporting work saved per week. The export, join and paste loop disappears entirely, and the follow-up questions that used to spawn a second spreadsheet get answered in plain language instead.
They ask Atlas in plain language and get the number in seconds, with the report behind it linked. No SQL, no dashboard building and no waiting on an analyst, so the meeting keeps moving.
Always, because both read the same live data. A report is a snapshot of the dashboard at send time, not a separate pipeline that can drift, so there is never a second version of the truth to reconcile.
Reports that build themselves
Book a demo and see the exact report your team would receive next Monday, built live from your own channels and your CRM.