Intently AI

Ask across spend and behavior — in one place.
Rarely matched.

Most stacks bolt AI onto a single dashboard — analytics here, ads there, CRM somewhere else. Intently’s AI sits on the same pipeline as first-party capture, multi-touch attribution, and ad spend, so Attribution Ask can cite your credit math and ROAS — not invent percentages.

Try the Ask demo

Architecture

AI on top of the full stack — not a bolted-on chat.

Capture, revenue, and spend feed Attribution before you ask. Attribution Ask is grounded in those reports — same models and windows you inspect — while behavioral Ask runs on the same first-party events. Tools that only see GA4 pageviews or ads UI metrics rarely match that stack.

01 · Capture

First-party behavioral signal

Page views, forms, scroll, ecommerce, and custom events land server-side from your site — the same signal multi-touch attribution and behavioral Ask run on.

Sessions & journeysForm frictionEngagement scoresEcommerce events

02 · Revenue

Stripe + CRM closed-won

Purchases and HubSpot/Salesforce closed-won attach to linked journeys — so attributed revenue and pipeline credit use the same touch models you inspect.

Stripe revenueClosed-won dealsFirst / last ad touchJourney inspector

03 · Ad spend

Meta, Google, Microsoft spend

Synced or CSV spend lands in Attribution so campaign ROAS is computed on your models — Ask reads that report, not a separate ads export.

Daily spendCampaign ROASPause / scale recs

04 · AI layer

Ask with citations

Attribution Ask is grounded in those reports — model, lookback, channel totals, delivery rates, and ROAS recommendations. It does not invent credit splits. Behavioral Ask covers forms, content engagement, and conversion paths on the same capture data.

Cited answersModel + windowROAS recommendationsForm & content Q&A

Why it’s rare

Ad spend and behavioral data in one Ask surface.

One pipeline, not three tools

Behavior, attributed revenue, and ad spend already live in Attribution before you ask. AI reads those reports — it does not stitch separate CSV exports at ask time.

Citations, not vibes

Attribution answers name the model and lookback window, and quote channel revenue, delivery rates, and campaign ROAS from reports you can open yourself.

Delivery-aware context

Failed destination sends get a delivery diagnosis path. Attribution Ask also sees verified delivery rates and match quality — it does not assume every pixel fired.

Interactive demo

Ask a question. See cited results.

Pick a prompt — the demo streams an answer with citations and which data layers were used. Numbers are illustrative. In-product Ask cites your live reports.

Ask Intently AI

Demo · illustrative data

Try a question

“Which campaigns have ROAS under 0.5x on last-touch?”

See the full platform

See Ask on your own spend and journeys.

We’ll walk through Attribution Ask on your stack — models, ROAS, CRM, and delivery proof in one place.

“No single stack gives ad buyers complete first-party capture, nine inspectable attribution models, CRM + spend ROAS, delivery proof with match quality, and AI that cites the math — in one pipeline you can audit end to end.”
See the platform