
Content Analytics by Dreamdata
HockeyStack
Bizible
Attributer
mbuzz.co
Weberlo
AttributeIQ is a B2B multi-touch attribution platform that measures how marketing channels and content contribute to pipeline and revenue.

DataBackfill
GA4 Auditor
GA4 SQL
SegmentStream
Raw GA4 data is optimized for storage not analysis or transformation. Our decoder transforms & enhances your data to make it more useful in just one step.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | attribute-iq.com | decodedata.io |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United Kingdom · 1 - 9 employees · 2026 | Startup from the United Kingdom · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
Decode GA4 is a BigQuery-native data transformation utility built for teams working with the Google Analytics 4 BigQuery export. GA4 writes event data into deeply nested RECORD and ARRAY structures. Reading a single field such as pagelocation or pagetitle requires a correlated UNNEST subquery,...
What each product offers, as listed by its team.


How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing AttributeIQ and DECODE DATA.
AttributeIQ's answer
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.
AttributeIQ's answer
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.
AttributeIQ's answer
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.
AttributeIQ's answer
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.
AttributeIQ's answer
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.
Share your experience with using AttributeIQ and DECODE DATA. For example, how are they different and which one is better?
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