1 · Problem
Channels double-count leads, so nobody trusts which spend produces revenue.
Fields & signals: platform conversions, CRM outcomes, spend
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Workflow · AnalyticsKnow which campaign actually produced the sale
Every channel wants the credit. This workflow captures the tracking signals a lead arrives with, reconciles each one to the outcome in your CRM, and sends a plain weekly report that connects ad spend to booked revenue.
UTM + click IDs
Lead reconciliation
Weekly ROI report
★★★★★ 4.9/5 rating
1,200+ reviews
8+ years
500+ clients
The problem it solves
Without attribution, budget follows whoever shouts loudest
Platform dashboards report leads, not revenue. When spend is judged on form fills alone, the cheap channel looks best and the one producing real customers gets cut. Attribution replaces that guesswork with the outcome.
- Two platforms each claim the same lead, so the totals never reconcile.
- Lead counts look healthy while booked revenue stays flat.
- Nobody knows the cost per booked job, only the cost per click.
- Budget decisions get made on feeling because the data is not trusted.
Illustrative example — the double-credited lead
- Mon A lead clicks a Google ad, then sees an Instagram ad
- Mon They convert through the Instagram form
- Report Both platforms claim the conversion
- Result Total “conversions” exceed real customers by 40%
The nine-stage workflow
How Attribution Reporting runs, stage by stage
Nine stages from a tracking signal to a weekly ROI report in the owner’s inbox.
1
Problem
Channels double-count leads, so nobody trusts which spend produces revenue.
2
Trigger
A lead arrives with UTM or a click ID, and later a conversion is logged.
3
AI Agent
First and last touch are stored, with click IDs matched to the contact.
4
Decision / Qualification
Each lead is reconciled to one source and checked against duplicates.
5
CRM Update
Touchpoints, campaign, cost and outcome are written to the record.
6
Report Delivery
A weekly report connects spend to booked jobs and revenue by source.
7
Owner Action
The owner shifts budget with evidence, or flags a channel to investigate.
8
Follow-Up
As deals close later, offline outcomes are reconciled back to their source.
9
Reporting
Cost per lead, cost per booked job and revenue by channel are tracked over time.
2 · Trigger
A lead arrives with UTM or a click ID, and later a conversion is logged.
Fields & signals: UTM, fbclid, gclid, ttclid, conversion event
3 · AI Agent
First and last touch are stored, with click IDs matched to the contact.
Fields & signals: first touch, last touch, click ID, landing page
4 · Decision / Qualification
Each lead is reconciled to one source and checked against duplicates.
Fields & signals: attributed source, dedupe result, confidence
5 · CRM Update
Touchpoints, campaign, cost and outcome are written to the record.
Fields & signals: campaign, cost, outcome, revenue, contact
6 · Report Delivery
A weekly report connects spend to booked jobs and revenue by source.
Fields & signals: spend, leads, bookings, revenue, cost per outcome
7 · Owner Action
The owner shifts budget with evidence, or flags a channel to investigate.
Fields & signals: budget decision, investigation flag, notes
8 · Follow-Up
As deals close later, offline outcomes are reconciled back to their source.
Fields & signals: closed value, close date, source link, lag
9 · Reporting
Cost per lead, cost per booked job and revenue by channel are tracked over time.
Fields & signals: CPL, CAC, revenue by channel, coverage
What it looks like in practice
The report the owner actually reads
One page, plain language, and a clear answer to “where should the money go?”
The weekly report avoids the usual dashboard maze. It says which channels produced bookings and revenue, what each outcome cost, and where the numbers are uncertain — so a budget decision takes minutes, not an afternoon.
- Leads are matched to outcomes, so a booking is tied to the click that created it.
- Cost per booked job is shown per channel, not just cost per lead.
- Uncertain or unattributed leads are labelled rather than hidden.
- Late-closing deals update the report automatically as they close.
Weekly ROI summary — 42 leads, 17 booked jobs, attributed revenue $21,400 across Google, Meta and TikTok.
Which channel is best value?
Google produced 9 bookings at the lowest cost per job. Meta produced 6 but at roughly 1.6× the cost per job. TikTok produced 2 from a small spend — too little data to judge yet. 5 leads were unattributed and are listed separately.
Let’s shift some Meta budget to Google and keep watching TikTok.
Noted. I’ll track the shift next week and flag whether cost per job improves before you commit further.
Illustrative example
Illustrative report. Figures are examples only. Real attribution captures the signals available and labels what is uncertain rather than inventing precision.
Same workflow, different industries
How it flexes for three very different businesses
The nine stages stay the same. The outcome that matters and the sales cycle length change completely.
Purchase-level attribution
Reconciles orders to the first and last click that influenced them, with click IDs from Meta, Google and TikTok, and reports revenue by channel alongside new-customer cost.
Booked job, not lead
Most value sits in the booked job, so the report follows a lead from the ad click through the call to the scheduled work and its value, including missed-call recovery as a source.
Client-ready reporting
Produces a per-client report that connects campaign spend to the outcome the client cares about, with uncertain attribution clearly labelled so expectations stay honest.
Failure modes & safeguards
What happens when things are not tidy
Attribution is easy to overstate. These guardrails are built in before go-live.
No false precision
Where signals are missing, the report says so and labels the gap. It never presents an estimate as an exact figure.
Privacy respected
Tracking respects consent and platform rules. Unconsented data is not captured, and identifiers are stored only where you are allowed to keep them.
Spend is verified
Cost data is pulled from your ad accounts rather than guessed, so cost-per-outcome figures rest on real spend.
One source wins
When two platforms claim the same lead, the reconciliation rule you choose assigns it once, so totals never exceed the real number of customers.
Metrics to watch
What we measure for you
We report on outcomes from your own data. We do not publish invented benchmarks — these are the numbers we track and explain with you.
Cost per lead
Spend divided by leads, shown per channel and per campaign.
Cost per booked job
The more honest number: spend divided by bookings or closed revenue.
Revenue by channel
Attributed revenue per source, so budget can follow the outcome.
Attribution coverage
The share of leads that carry a usable source, which shows how trustworthy the picture is.
Where it fits
Connect it to the rest of your system
Related workflows
- Sales Pipeline Hygiene — a healthy pipeline makes attribution clearer.
- CRM Cleanup — dedupe keeps source data consistent.
- Speed-to-Lead Response — tags every lead at the source.
Services this uses
- Marketing Attribution — the core engine.
- Business Analytics Dashboard — hosts the reporting.
- Lead Capture Automation — captures the tracking signals.
Where it works best
- Ecommerce — multi-channel spend that needs reconciling.
- Home Services — cost per booked job, not per lead.
- Marketing Agencies — client reporting that has to be honest.
FAQ
Attribution Reporting questions
Is attribution ever perfect?
No, and we say so. Privacy changes and multi-device journeys mean no method is exact. We capture the signals that are available, label what is uncertain, and report ranges rather than false precision.
What tracking does it capture?
UTM parameters plus click identifiers such as fbclid, gclid and ttclid, stored as first and last touch on the contact, then reconciled against the outcome in your CRM.
Can it report revenue, not just leads?
Yes, where your CRM records closed value. The report connects spend to booked jobs and revenue by source, so you can see cost per outcome rather than cost per click.
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