The attribution layer for AI agents.

OneView turns your server-side tracking data into a universal context that Claude can use and ad platforms can rely on. One integration, zero maintenance, the same numbers on every dashboard.

The attribution layer for AI agents.

OneView turns your server-side tracking data into a universal context that Claude can use and ad platforms can rely on. One integration, zero maintenance, the same numbers on every dashboard.

1.

Data Collection

Your data, collected and cleaned. No tracking team required.

2.

Attribution

Your conversions, linked automatically. No data team required.

3.

Conversion API

Your attribution, delivered everywhere. No integration team required.

Official data provider with major ad platforms

Your team wastes hours stitching data together. OneView turns marketing into one conversation.

How can I help today?

Thinking

3 Results

Analyze

Compare

Monitor

Report

Gathering events

How can I help today?

Analyze

Compare

Monitor

Gathering events

Radar

Better Data: Server-Side Tracking

Your GTM server container collects the events. Radar turns them into an identity graph AI agents can act on.

Use your Google Tag Manager events.

Use your first-party identifiers.

Zero advertising cookies. Zero advertising pixels.

Radar

Better Data: Server-Side Tracking

Your GTM server container collects the events. Radar turns them into an identity graph AI agents can act on.

Use your Google Tag Manager events.

Use your first-party identifiers.

Zero advertising cookies. Zero advertising pixels.

Hub

Better Answers: MCP for Attribution

Hub uses Radar’s cleansed data feed to give you marketing data you can actually interrogate, understand, and trust.

Use your UTMs. Own your attribution.

Attributions are unique and immutable.

AI lets anyone ask for campaign results.

Hub

Better Answers: MCP for Attribution

Hub uses Radar’s cleansed data feed to give you marketing data you can actually interrogate, understand, and trust.

Use your UTMs. Own your attribution.

Attributions are unique and immutable.

AI lets anyone ask for campaign results.

Gateway

Better Bidding: Conversion API

Gateway uses Hub’s attribution data to filter and send only creditable conversions to each ad platform in real time, enriched with customer identity.

Use Attribution to filter sendable conversions.

No destination mapping required.

Replayability, and full history log.

Gateway

Better Bidding: Conversion API

Gateway uses Hub’s attribution data to filter and send only creditable conversions to each ad platform in real time, enriched with customer identity.

Use Attribution to filter sendable conversions.

No destination mapping required.

Replayability, and full history log.

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Google Tag Manager

2m ago

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Google Tag Manager

1m ago

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Shopify

28s ago

purchase

Shopify

12s ago

page_view

Google Tag Manager

just now

01

02

03

page_view

Google Tag Manager

1m ago

page_view

Google Tag Manager

12s ago

purchase

Shopify

just now

How can I help today?

Fable 5.1

Analyze

Compare

Monitor

Gathering events

Radar

Better Data

Radar turns the signals you already collect into a complete, first-party view of your customers. Without advertising cookies or pixels.

Use your Google Tag Manager events.

Use your first-party identifiers.

Zero advertising cookies. Zero advertising pixels.

12 hours

saved per week across the marketing team

"We still use the same UTMs and run the same campaigns. We just don’t spend half our time making the data work anymore."

Priya Nair

Head of Marketing @ Fieldstone

Priya Nair

12 hours

saved per week across the marketing team

"We still use the same UTMs and run the same campaigns. We just don’t spend half our time making the data work anymore."

Priya Nair

Head of Marketing @ Fieldstone

Priya Nair

12 hours

saved per week across the marketing team

Priya Nair

"We still use the same UTMs and run the same campaigns. We just don’t spend half our time making the data work anymore."

Priya Nair

Head of Marketing @ Fieldstone

Your team already has the data. OneView gives you the leverage.

15min

Setup time with Google Tag Manager Server

99.95%

Uptime SLA

2hrs

Saved per engineer per marketing ticket

4.2hrs

Saved per marketing analyst per week

Frequently Asked Questions

Do you want to learn more about us? Check the blog page.

We already have GTM and GA4. What does OneView add?

The core difference is that GA4 is a black-box oracle, and OneView is an observable data platform. GA4 reports to you; OneView gives Claude and your ad platforms the same attributed data. GA4 works with User-IDs and Client-IDs, and sits parallel to your ad platforms: it matches a user where it can, observes what happened, and reports it to you. But it never tells Meta, Google Ads or TikTok what to credit, so each of them keeps counting in a vacuum. Its own numbers move, too. The Data-driven model re-attributes over time, Explorations fall back to sampling, and "direct" and "(not set)" absorb whatever can't be resolved, with no error codes to tell you why. A visitor with a User-ID on their laptop and only a Client-ID on their phone counts as two users. OneView is built on a graph that links every available identifier together, resolving conversions GA4 leaves unattributed. It sits inline with your ad platforms: it attributes once, sends those conversions to the platforms themselves, and returns an attribution error code when one can't be credited.

How do OneView integrations differ from GTM tags?

A GTM tag fires and forgets. If the platform is down or rejects the payload, the conversion is gone, and you find out from a discrepancy weeks later. There is no queue, no record of what was sent, and no way to fix a mistake retroactively: once a mapping error has run for a week, that data stays broken, and the misalignment shows up in GA4 too. Tags also fire concurrently, so one failing tag is enough to put your platforms out of sync. And whatever the bug, it's yours. Mapping error, you. Debugging, you. Two tags needing different fields, your problem. A misconfiguration on the ad platform side, and the events are simply lost. OneView keeps the full data flow. Every event is queued on ingress, every processing step is persisted, and every Conversion API logs what went out and what came back. Failures are retried and introspected, so error reports show the exact misconfiguration. A destination can be paused and restarted later without touching the others. A fixed configuration can be replayed over everything it affected.

How is this different from a CDP?

The difference isn't functional, it's operational. A CDP is a routing platform you configure: it sends your events to many destinations, and each destination is left in a vacuum, counting on its own with no idea what the others counted. OneView orchestrates instead of routing: it attributes once, deduplicates, and sends only attributed conversions back to the right platform, so your channels don't double-count and your bidding algorithms don't optimise on conversions they didn't cause. A CDP is powerful and configurable, the right trade-off when you require total customization, but every integration has to be configured and maintained, every vendor update handled, every change to mapping or identity logic made by your team. And marketing still has to reconcile their own reporting against each media partner. The real question isn't whether OneView does everything a CDP does, it doesn't. It's what it costs you in time and complexity to maintain a CDP setup at the quality OneView gives you by default. Product data and marketing data are different enough that customers run CDPs for product and OneView for marketing. In fact, you can feed OneView from your CDP.

How long does a full setup take?

Fifteen minutes, if you already have Google Tag Manager Server running. You point your server container at OneView, and you're done. If you don't have GTM Server yet, that's the only real work, and it's a container and a subdomain rather than a project. Nothing else changes: same web container, same tags, same UTMs, same campaigns. There is no event schema to design, no destination mapping to build, no identity logic to configure, because none of that is yours to do. Then leave it running alongside what you have. Compare what each platform reports against what OneView attributed, and decide after you've seen it on your own data.

We already have GTM and GA4. What does OneView add?

The core difference is that GA4 is a black-box oracle, and OneView is an observable data platform. GA4 reports to you; OneView gives Claude and your ad platforms the same attributed data. GA4 works with User-IDs and Client-IDs, and sits parallel to your ad platforms: it matches a user where it can, observes what happened, and reports it to you. But it never tells Meta, Google Ads or TikTok what to credit, so each of them keeps counting in a vacuum. Its own numbers move, too. The Data-driven model re-attributes over time, Explorations fall back to sampling, and "direct" and "(not set)" absorb whatever can't be resolved, with no error codes to tell you why. A visitor with a User-ID on their laptop and only a Client-ID on their phone counts as two users. OneView is built on a graph that links every available identifier together, resolving conversions GA4 leaves unattributed. It sits inline with your ad platforms: it attributes once, sends those conversions to the platforms themselves, and returns an attribution error code when one can't be credited.

How do OneView integrations differ from GTM tags?

A GTM tag fires and forgets. If the platform is down or rejects the payload, the conversion is gone, and you find out from a discrepancy weeks later. There is no queue, no record of what was sent, and no way to fix a mistake retroactively: once a mapping error has run for a week, that data stays broken, and the misalignment shows up in GA4 too. Tags also fire concurrently, so one failing tag is enough to put your platforms out of sync. And whatever the bug, it's yours. Mapping error, you. Debugging, you. Two tags needing different fields, your problem. A misconfiguration on the ad platform side, and the events are simply lost. OneView keeps the full data flow. Every event is queued on ingress, every processing step is persisted, and every Conversion API logs what went out and what came back. Failures are retried and introspected, so error reports show the exact misconfiguration. A destination can be paused and restarted later without touching the others. A fixed configuration can be replayed over everything it affected.

How is this different from a CDP?

The difference isn't functional, it's operational. A CDP is a routing platform you configure: it sends your events to many destinations, and each destination is left in a vacuum, counting on its own with no idea what the others counted. OneView orchestrates instead of routing: it attributes once, deduplicates, and sends only attributed conversions back to the right platform, so your channels don't double-count and your bidding algorithms don't optimise on conversions they didn't cause. A CDP is powerful and configurable, the right trade-off when you require total customization, but every integration has to be configured and maintained, every vendor update handled, every change to mapping or identity logic made by your team. And marketing still has to reconcile their own reporting against each media partner. The real question isn't whether OneView does everything a CDP does, it doesn't. It's what it costs you in time and complexity to maintain a CDP setup at the quality OneView gives you by default. Product data and marketing data are different enough that customers run CDPs for product and OneView for marketing. In fact, you can feed OneView from your CDP.

How long does a full setup take?

Fifteen minutes, if you already have Google Tag Manager Server running. You point your server container at OneView, and you're done. If you don't have GTM Server yet, that's the only real work, and it's a container and a subdomain rather than a project. Nothing else changes: same web container, same tags, same UTMs, same campaigns. There is no event schema to design, no destination mapping to build, no identity logic to configure, because none of that is yours to do. Then leave it running alongside what you have. Compare what each platform reports against what OneView attributed, and decide after you've seen it on your own data.

Your data, finally connected

All systems operational

99.996% UPTIME

Updates on new features and releases.

OneView is operated by TAI The AI Company S.r.l. Sole Shareholder Company
piazzale Biancamano 8, 20121, Milano, Italy. VAT IT14053730967.
© 2026. All rights reserved.

OneView is operated by TAI The AI Company S.r.l. Sole Shareholder Company
piazzale Biancamano 8, 20121, Milano, Italy. VAT IT14053730967.
© 2026. All rights reserved.