Agentic Marketing Analytics

Agentic Marketing Analytics that match your bank account.

Ask your marketing data anything. Get recommendations grounded in user-level cost data, deduplicated revenue, and every touchpoint, not platform-reported estimates. Multi-touch attribution, media mix modeling, and incrementality testing in one platform, with a native MCP server for Claude and any MCP-compatible AI.

Recommendations you can trust, because you can audit every number behind them.

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Claude

Attribution MCP

connected

Three high-impact moves. The biggest opportunity is reallocating X spend, which is returning $0.70 on the dollar. Shifting that to Meta and Google should lift blended ROAS from 9.6x to ~12.1x.

9.6x

Current ROAS

12.1x

Projected ROAS

+$960K

Proj. Revenue

Recommended Reallocation

Google +$42K

Now

$156K

Rec

$198K

Meta +$35K

Now

$61K

Rec

$96K

X -$67K

Now

$107K

Rec

$40K

HIGH Cut X spend by 63%

0.7x ROAS. Reallocate $67K to Google and Meta which both show 8x+ returns.

The standard for AI in marketing

Recommendations you can trust.

Any tool can generate a recommendation. The question is whether you should act on it. A recommendation is only as good as the data it's built on, the model behind it, and your ability to verify it before you spend.

1Grounded in real data

Built on user-level data, not platform-reported estimates.

Every recommendation traces back to a real person, a real ad dollar, and a real revenue event. Not to a campaign-level conversion count that double-counts every time two platforms touch the same user. The recommendation can only be as accurate as the data underneath, so we start with the data.

2Work with the model

Tune the model with AI, side by side.

You stay in control of how attribution gets calculated, and the AI helps you get it right. Compare models side by side. Ask which one fits your business. Get help tuning lookback windows, direct traffic handling, and cutoff events. No black box. Your model, your decisions, an expert in the room.

3Fully auditable

Verify every number before you act.

When the AI tells you to shift $67K from one channel to another, you can drill into the underlying users, clicks, and revenue events that produced the recommendation. No black box. No proprietary model you can't inspect. Every dollar of reallocation defensible to your CFO.

The bar for AI in marketing is whether you can act on what it says. Attribution is built for that bar.

See the real cost of every user's journey

Attribution tracks every visit, every dollar, every user.

Attribution tracks every visit, click, and dollar spent at the user and account level from acquisition to retention. It connects marketing data to real CAC Payback and LTV:CAC insights for scaling profitably.

Platform API Confusion

Platform APIs don't lie. They just can't see everything.

Conversion APIs report at the campaign level, not the user level. When Meta's API says a campaign generated $8 in revenue, it claims credit for every conversion that touched that campaign — even if Google also touched the same user. The data from conversion APIs will never add up to your bank account because the APIs were never designed to reconcile across platforms. Attribution solves this by tracking the actual user, summing the actual cost of every ad that user clicked across every platform, and comparing it to the actual revenue that user generated. That is why Attribution's numbers match the bank account — and why an AI recommendation built on Attribution data is something you can act on.

Meta Ad

$5.00

Google Ad

$5.00

✓

Converts

$8.00 rev

What each source reports

Meta Ads $8 rev on $5 spend +$3 profit

Google Ads $8 rev on $5 spend +$3 profit

Bank account $8 in, $10 out -$2 loss

Attribution $8 rev on $10 spend -$2 loss MATCHES

The Four Pillars

How Attribution gets to the real number

Matching your bank account requires four capabilities that most attribution tools don't have. AI on top of those four is what makes the recommendations trustworthy.

User-level cost data

Attribution calculates the actual cost of acquiring each individual visitor by binding real ad spend to each user's deterministic journey across channels and sessions. Without user-level cost data, ROAS is an estimate — platforms divide total campaign spend by platform-reported conversions, which double-count, over-attribute, and miss cross-channel paths entirely. Attribution eliminates this by tracking every dollar spent at the user and account level, producing true per-user CAC, ROAS, CAC Payback, and LTV:CAC metrics.

Learn how user-level cost tracking works

Full data auditability

Any metric on any Attribution dashboard — a CAC figure, a ROAS percentage, a conversion count — can be clicked into and traced back to the underlying visits, touchpoints, cost allocations, and credit assignments that produced it. There is no black box. There are no ML layers between the raw data and the reported number. When a VP of Marketing presents attribution data to the CFO, every number can be defended with a clear trail from ad spend to site visit to conversion to revenue.

See how auditability works

Customizable models

Attribution offers five multi-touch attribution models — first touch, last touch, linear, time decay, and position-based — each configurable in four distinct modes: include all traffic, exclude direct, include direct until a cutoff event, and exclude all after a cutoff event. The cutoff event modes are specifically designed for product-led growth and trial-based businesses where post-signup visits should not receive attribution credit.

Explore attribution models

Raw data export

Attribution exports full-fidelity, raw visit-level and user-level data directly to Snowflake, BigQuery, and Redshift through a built-in ETL service, and to Amazon S3, Azure Blob Storage, and Google Cloud Storage. This is not aggregated summary data. The export includes every visit with timestamps, source, referrer, UTM parameters, on-site behavior, and user identity. Data teams can query this raw data in SQL, build custom models, and feed events into AI and ML pipelines.

See the data export schema

These four capabilities are what make agentic analytics work. When an AI tells you to shift $67K from one channel to another, the recommendation traces back to individual users, individual clicks, and individual revenue events. Not modeled aggregates. Actual data.

Most attribution tools give you one or two of these four capabilities. Attribution is the only platform that delivers all four — user-level cost data, full auditability, customizable models, and raw data export — in a single product. That is why more than 1,000 companies trust Attribution to tell them the number that matches their bank account.

Integrations

Connects to your entire marketing and revenue stack

Attribution integrates with more than 20 advertising platforms, CRM systems, CDPs, revenue tools, and data warehouses. Attribution is one of only two preferred integration partners for Twilio Segment.

CRM

HubSpot

Salesforce

Pipedrive

Attribution syncs lifecycle stages, deal/opportunity data, and closed-won revenue bidirectionally. Track which marketing touches influenced each deal through the full sales cycle. Account-based attribution binds user journeys to company accounts.

CDP and Analytics

Segment

RudderStack

Amplitude

Heap

Attribution sends user traits, conversion events, and cost data to your CDP and receives unified profiles and funnel events back. The Segment integration is bidirectional and deploys in a single click.

Ecommerce

Shopify

BigCommerce

Attribution's Shopify integration and CDP Connector give ecommerce brands full-funnel visibility from first ad click to first purchase to repeat revenue. Separate first-time purchaser costs from returning customer revenue. Plans start at $19/month.

Ad Platforms

Google

Loved by 1,000+ companies — B2B, SaaS, E-Commerce, Marketplaces and more.

Want to know the hardest thing about multi-touch attribution? Finding a platform that actually tells you everything a visitor does from first visit to first purchase and beyond. We’ve got you covered.

Attribution’s platform is foundational technology for marketing programs across our portfolio.

Aaron Cort

Operating Partner @Craft

Attribution provides an additional analytics layer that helps brands investigate and understand how creators impact the greater user journey.

Victor Feijó

Head of Engineering @Superfiliate

If you’re looking to save time and sanity when trying to knit your marketing data together, Attribution is a useful tool to give you insights and take a lot of that lift off your plate.

Perin Adams

GTM Business Systems Manager @Vendr

Attribution enables us to understand what role each channel plays in the funnel. A higher CPA might be acceptable because we can see clearly that channel is bringing more people into the funnel.

John Gareau

CRO @Seraphina Therapeutics

Learn About Multi-Touch Attribution

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We know what you're thinking: "Great, another blog." This blog is different… why? We go deep into tactical, relevant and modern topics on attribution (changes quite often). Don't believe us? Take a look for yourself.