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AttributeIQ

AttributeIQ is a B2B multi-touch attribution platform that measures how marketing channels and content contribute to pipeline and revenue.

AttributeIQ is a B2B multi-touch attribution platform that measures how marketing channels, campaigns, and content contribute to pipeline and closed-won revenue.

The platform supports first-touch, last-touch, and multi-touch models within the same dataset, so teams can evaluate marketing contribution using whichever framework matches their existing reporting standard rather than committing to one model at implementation.

Key Capabilities:

1) Journey Explorer: Provides a deal-level view of customer engagement, showing the interactions associated with individual opportunities from initial discovery through closed revenue.

2) Buyer Intent Tracking: Monitors key buyer signals across website activity, alerting teams when contacts revisit pricing, demo pages, or high-value content before conversion.

3) Board Reporting: Summarises attribution data into executive-ready reports, showing pipeline contribution, closed revenue, channel impact, and content influence.

A startup from the United Kingdom that is founded by Muiz Thomas.

(0 reviews)
Pricing:
  • Paid
  • Free Trial
  • ยฃ89.0 / Monthly (1 GA4 property, up to 12 months data)
Platforms:
  • Hubspot
  • Slack
Visit website Alternatives Status Page
AttributeIQ

AttributeIQ Reviews and Details

This page is designed to help you find out whether AttributeIQ is good and if it is the right choice for you.

#Marketing Analytics #Attribution Tracking #Marketing Attribution #Marketing #Web Analytics #Analytics #Marketing Platform

Screenshots and images

  • AttributeIQ Executive board summary showing total qualified pipeline, revenue, and channel breakdown, exportable as PPTX in one click.
    Executive board summary showing total qualified pipeline, revenue, and channel breakdown, exportable as PPTX in one click. //
    2026-07-30
  • AttributeIQ Configurable alert rules that flag high-intent buyer activity in real time, from repeat pricing page visits to named-contact demo page hits.
    Configurable alert rules that flag high-intent buyer activity in real time, from repeat pricing page visits to named-contact demo page hits. //
    2026-07-30
  • AttributeIQ Channel-level attribution showing pipeline value, conversion velocity, and influence share across First-Touch, Last-Touch, and Multi-Touch models.
    Channel-level attribution showing pipeline value, conversion velocity, and influence share across First-Touch, Last-Touch, and Multi-Touch models. //
    2026-07-30
  • AttributeIQ Page-level attribution showing which content drives pipeline by conversion event, with journey count and revenue influenced per page.
    Page-level attribution showing which content drives pipeline by conversion event, with journey count and revenue influenced per page. //
    2026-07-30
  • AttributeIQ Full page-by-page customer journey for a converted deal, from first touch through closed-won, with touchpoint count and duration.
    Full page-by-page customer journey for a converted deal, from first touch through closed-won, with touchpoint count and duration. //
    2026-07-30

Features & Specs

  1. Journey Explorer

    Tracks every interaction across the customer journey, from first touch to closed-won deal, with a complete timeline of pages, campaigns, and content that influenced each opportunity.

  2. Multi-Touch Attribution

    Moves beyond single-touch reporting with First-Touch, Last-Touch, and Multi-Touch models applied to the same underlying data, letting teams view marketing contribution from multiple angles without losing the full picture. Live within 24 hours of connecting your data sources, no lengthy implementation required.

  3. Buyer Intent Tracking

    Shows high-intent activity across the pipeline with real-time alerts based on exact pages, contacts, and conditions the team defines, such as repeat pricing page visits or a named contact browsing demo content.

  4. Board Reporting

    Exports a board-ready report in one click, covering pipeline, revenue, and channel performance generated directly from attribution data. Replaces manual reconciliation across spreadsheets and platform exports with a single accurate view.

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Questions & Answers

As answered by people managing AttributeIQ.

  1. Why should a person choose AttributeIQ over its competitors?

    AttributeIQ is built for B2B teams running GA4 and HubSpot who need credible attribution without a data warehouse, a dedicated analytics engineer, or months of implementation. Attribution data appears within 24 hours of connecting sources, and reporting includes board-ready exports so marketing can walk into a leadership meeting with pipeline, revenue, and channel figures already assembled, instead of reconciling numbers across spreadsheets the night before.

  2. How would you describe the primary audience of AttributeIQ?

    AttributeIQ is built for B2B SaaS marketing teams, typically Heads of Content, Marketing Ops, and CMOs, who already run GA4 and HubSpot and need to prove which content and channels drive pipeline and revenue. It fits companies with an active but lean marketing function (roughly 2 to 200 employees) that need defensible attribution reporting without the headcount or infrastructure enterprise attribution platforms assume.

  3. Which are the primary technologies used for building AttributeIQ?

    AttributeIQ is built on Next.js for the application layer, Supabase for backend infrastructure and authentication, and BigQuery to ingest and store raw, unsampled GA4 event data at scale. Billing runs through Stripe, and the platform integrates with HubSpot via OAuth for CRM data and Slack for real-time alerting.

  4. What makes AttributeIQ unique?

    Most attribution tools measure marketing activity in isolation from revenue; AttributeIQ verifies attribution against actual deal stage, amount, and outcome, and supports First-Touch, Last-Touch, and Multi-Touch models within the same dataset so teams aren't locked into one framework.

  5. What's the story behind AttributeIQ?

    AttributeIQ was founded by Muiz Thomas out of firsthand frustration doing B2B SEO consulting through his agency, GrowUp, where proving which content actually influenced closed deals was consistently the hardest question to answer credibly for clients. That gap, between marketing activity and verified revenue outcome, became the reason for building the platform.

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  • Public traffic stats of AttributeIQ

    Check the traffic stats of AttributeIQ on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of AttributeIQ on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of AttributeIQ's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of AttributeIQ on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

  • Public opinion on Reddit

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Is AttributeIQ good? This is an informative page that will help you find out. Moreover, you can review and discuss AttributeIQ here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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