Know which ads
drive revenue.
With auditable proof.
We capture first-party data on your domain and credit the journeys that were stored. The delivery log shows what each platform accepted, and AI cites that credit.
Privacy frameworks
Security
8
Server-side destinations live
9
Attribution models
5
CMP integrations supported
2
Consent categories gated separately
What it does
Three jobs. One pipeline.
01
Capture first-party signal
One first-party script on your site collects the clicks, sessions, and conversions consent allows through. Consent is enforced server-side before storage or destination routing.
02
Credit journeys you can inspect
Nine multi-touch models allocate observed credit, with Stripe and CRM closed-won plus ad spend for campaign ROAS — touch by touch on the journeys that were stored.
03
Prove each send was accepted
Conversions route server-side to GA4, Meta CAPI, TikTok, LinkedIn, Pinterest, X, Reddit, and Segment. The delivery log shows whether each destination accepted the event. Match quality scores the identifiers on that send.
See the platform
Built for operators who need proof, not promises.
Attributed revenue, delivery proof, and journey credit in one product you can open—not a pitch deck mock.
Event log
Live feed
Revenue overview
Attributed revenue, beside what each platform accepted
Attributed revenue, closed-won, and ROAS sit at the top, next to the number most dashboards cannot show you: how many of those conversions your ad platforms actually accepted.
- ✓Attributed revenue, CRM closed-won, ROAS, and CAC in one row
- ✓Channel and campaign revenue credited on the model you pick
- ✓Per-conversion delivery proof, not just an aggregate match rate
Revenue overview
Last 30 days · last-touch
Attributed revenue
$1.84M
24.6%
Closed-won
$612K
38 deals
ROAS
5.8x
$317K spend
Verified delivery
98.2%
Match 8.7/10
Revenue by channel
Delivered
Daily attributed revenue
Recent conversions · delivery proof
Stripe payment
LinkedIn Ads
$48K
4/4 delivered
Demo booked
Google Ads
$12K
4/4 delivered
Stripe payment
Meta Ads
$8.4K
3/4 delivered
Revenue attribution
Credit revenue on the journeys you captured
Nine transparent models and lookback windows on the journeys you stored, with Stripe and CRM revenue, ad spend ROAS, journey inspection, and a delivery log per ad platform.
- ✓Channel and campaign revenue with ROAS when spend is synced
- ✓Pause or +20% budget write-back on Meta, Google, Microsoft (confirm required)
- ✓Journey inspector: per-touch credit and credit-by-model matrix
- ✓Delivery log and match quality on Meta CAPI and destinations
Marketing attribution
Last-touch · 30 days
On-site actions
Know which ads convert.
Know what to change on your site.
Experience is the investigation layer on the same first-party capture: prioritized tests to try, readiness for the signal you need, optional visitor engagement scores when Ask-depth Engagement Tracking is on, converter vs non-converter cohort gaps, and Ask on that evidence. Associations to try, not guaranteed lifts.
Experience
On-site investigation for attributed traffic
Tests to try, not guaranteed lifts · Meta paid · last 30d
What to try next
2 rankedReduce abandon on “Company size”
highIn Meta paid traffic, non-converters abandon this field more often than converters — a form friction association to test, not proof of cause.
Non-converter abandon 50%·Converter abandon 12%·Gap +38pp
Get more of this cohort onto /pricing
highConverters from branded search hit /pricing more often than non-converters. Test routing or creative that lands more of this traffic there.
Converter rate 82%·Non-converter rate 41%·Gap +41pp
Engagement on conversions
Evidence · credited traffic
Low
18
Mid
41
High
52
No score
9
Investigation readiness
Core capture · Ask depth
Core
CI · Forms · Sections
Depth
Scroll · Clicks
Cohort gaps
Converters had · non-converters often didn't
| Experience | Type | Conv. | Non-conv. | Gap |
|---|---|---|---|---|
| /pricing | page | 82% | 41% | +41pp |
| Company size | form | 12% | 50% | +38pp |
| ROI calculator | section | 55% | 22% | +33pp |
“Which pages do converting Meta sessions hit that non-converters miss?”
Why Intently is different
Ask across spend and behavior.
Answers cite the math.
Intently AI reads the same first-party capture, multi-touch models, ad spend, and delivery logs you already use — so every answer names the model, window, and ROAS instead of inventing credit.
Every attribution answer carries citations
Model, lookback window, channel revenue, and campaign ROAS — quoted from reports you can open yourself.
One pipeline behind every answer
Behavior, attributed revenue, and ad spend already live in Attribution before you ask.
Same Ask in Cursor or Claude
Read-only MCP exposes attribution and Ask with your account API key — no separate MCP credential.
Ask Intently AI
Reading reports…
“Which campaigns have ROAS under 0.5x on last-touch?”
Free playbook
The Attribution Audit Playbook
What to check before you pause or scale. PDF white paper · about 8 to 12 pages.
What Intently gives you
“Intently gives ad buyers first-party capture, nine inspectable models that credit stored journeys, CRM and spend ROAS, pause/boost write-back on Meta/Google/Microsoft with confirm, a delivery log with match quality, AI that cites the math, and a read-only MCP server, in one pipeline you can audit end to end.”
Explore the platform
Go deeper on each layer.
Attribution
Better tracking means better attribution.
Nine inspectable models allocate credit on stored journeys, with Stripe and CRM closed-won, ad spend ROAS, pause/boost write-back with confirm, and a delivery log for acceptance and match quality.
Capture
One script on your domain.
Page views, forms, scroll, ecommerce, and custom events collected first-party, with consent enforced before storage.
Consent
CMP signals in. Policy enforced on the server.
Reads OneTrust, Cookiebot, CookieYes, Consent Mode, and TCF v2, then enforces policy before storage or routing.
Delivery
Route once. Deliver everywhere.
Meta CAPI, GA4, TikTok, and the rest fire from Intently servers, with a delivery log for success or failure.
Intelligence
AI on your behavioural data.
Ask for cited model, window, and ROAS answers — grounded in the same reports you can open yourself.
MCP
Same attribution in Cursor & Claude.
A read-only MCP server exposes the same Ask and attribution builders your dashboard uses — scoped to your account API key.
How it works
From snippet to delivery proof
Add the snippet
One first-party script on your domain. Works with any stack.
Connect destinations
Link GA4, Meta, TikTok, Reddit, and more in the dashboard.
Watch it flow
Overlay proves the install. Delivery log proves each send landed.
Intently
Live capture · yoursite.com
Payload · page_view
{
"event": "page_view",
"page": "/pricing",
"session": "sess_8f2a…c91"
}Destinations
Delivery log
Proof it is installed correctly · Proof each destination accepted the send
Know which ads work.
Prove it.
Intently captures first-party signal on your domain, credits the journeys that were stored with models you can audit, logs whether ad platforms accepted each conversion, lets you pause or boost Meta/Google/Microsoft campaigns from Attribution, uses AI that cites the numbers, and exposes the same data through a read-only MCP server.
Limited onboarding · Talk with our team to request a demo