hurra.ai vs Whatagraph
Whatagraph is built for client-ready reporting across many accounts. hurra.ai covers that job inside the Marketing OS and goes beyond it: one connected layer that reads your stack, decides with you and puts the decision into action.
On this page
Side by side
| hurra.ai | Whatagraph | |
|---|---|---|
| Built for | The Marketing OS at the centre of every platform you run: one independent layer for intelligence, orchestration, data and expert skills. | A marketing reporting platform for agencies and teams reporting at scale. |
| Scope in one platform | Yes. Four functions in one connected layer: Marketing Intelligence, Marketing Orchestration, Data & Signals including fraud and invalid-traffic detection, and role-specific AI Skills for SEO, GEO, email and shopping feeds. | A cross-channel data foundation delivered as white-label client reports, dashboards and data hand-off (whatagraph.com). |
| From insight to action | Yes. Attribution analysis, modelled scenarios and a recommendation with its reasoning. You approve, and the decision becomes a playbook applied consistently across your tools. | Reporting at scale with templated workflows for adding clients, locations and markets (whatagraph.com). |
| Your data | Yes. Nothing is migrated. hurra.ai reads through official interfaces, every system stays the owner of its record, and no dashboards have to be rebuilt. | Data is unified in the platform and delivered onward to reports, dashboards and destinations such as BigQuery (whatagraph.com). |
| Who builds it | hurra.com. Hosted in the company's own data centre in Frankfurt, with AI models running on EU cloud regions and processing isolated per platform and workspace. Partner designations: Google Premium Partner, Microsoft Elite Partner, Meta Business Partner, TikTok Marketing Partner. | Whatagraph. Every statement about it on this page comes from its own public material. |
What Whatagraph is
Whatagraph describes itself as "AI-ready marketing intelligence built for scale" with the promise to "connect, define, and trust your data everywhere", and names its audience as agencies, multi-location operators and multi-brand ecommerce teams reporting at scale.
Its own material centres on one foundation for cross-channel data, promising that you "define metrics once and trust them everywhere", in dashboards, client reports and every AI tool you use, delivered as white-label reports, dashboards, Slack and email, BigQuery and chat.
What hurra.ai is
hurra.ai is the Marketing OS at the centre of every platform you run: intelligence, orchestration, data and expert skills in one connected layer, not a set of tools you wire together yourself.
Four functions sit in that layer. Marketing Intelligence surfaces what is actually working across every channel and campaign: attribution and budget allocation, built above platform reporting and free from platform bias. Data & Signals brings first-party data, measurement signals and market context into one validated layer, where incoming data is checked for completeness, consistency and conflicts, and gaps, anomalies and fraud patterns are flagged before they reach your team. Marketing Orchestration connects tools, teams and workflows into structured playbooks, so a decision is made once and applied consistently. AI Skills are role-specific agents for SEO, GEO, email and shopping feeds, trained on how marketing actually works.
It reads the systems you already run through their official interfaces. Nothing is migrated, no dashboards are rebuilt, and every system stays the owner of its own data. hurra.ai is developed by hurra.com, a Google Premium Partner, Microsoft Elite Partner, Meta Business Partner and TikTok Marketing Partner.
Why teams choose hurra.ai instead of Whatagraph
Consistent metrics across every report, the same CAC, ROAS and CPL wherever they appear, is a property of the validated Data & Signals layer in hurra.ai, where incoming data is checked for completeness, consistency and conflicts once and trusted everywhere after that.
The difference shows up after the reading. Ask why cost per acquisition rose last month and hurra.ai connects across your platforms, identifies which channels drove the change and gives you the breakdown in seconds. Say you need to cut 20% of media spend and it runs the attribution analysis, models the scenarios and prepares a recommendation with its reasoning. You review and approve, and the decision stays yours. What is approved becomes a playbook that runs consistently across the tools your team already operates.
And the work compounds. Skills, playbooks, benchmarks, scores and decision models emerge from recurring engagements, so the system gets sharper instead of resetting with every campaign, which is what a platform built by an operator of live campaigns can offer and a data product cannot.
Frequently asked questions
Can hurra.ai replace Whatagraph?
Yes, for teams that want to read their platforms directly rather than build a warehouse first. Consistent metrics across every report, the same CAC, ROAS and CPL wherever they appear, is a property of the validated Data & Signals layer in hurra.ai, where incoming data is checked for completeness, consistency and conflicts once and trusted everywhere after that. On top of that you get what a reporting platform does not set out to do: orchestration across your tools, and role-specific skills that turn an approved decision into consistent execution.
We are an agency reporting for many clients. Does that work?
Yes. Agencies are one of the two explicit ways into the platform. hurra.ai gives every client an intelligence layer that never sleeps and works alongside your team rather than instead of it, on the same validated data layer that keeps a metric meaning the same thing in every account.
What does "independent layer" mean?
The layer reading your marketing is not one of the platforms being measured. Google and Meta optimise for their own metrics; hurra.ai cross-references platform data, keeps the differences between those views visible and reports free from platform bias, which is the only way a CFO can trace which marketing euro created profit.
How long does it take to get started?
There is no migration and no long setup. You connect the systems you already run, and the platform reads them through their official interfaces. A 20-minute demo shows what it surfaces from your existing stack.