Traditional BI dashboards (Looker, Tableau, Power BI) are inflexible and not granular enough for marketing. Clarisights combines spreadsheet-like flexibility with governance, built specifically for marketing data. Here's how they compare.
The core difference
A BI dashboard is a presentation layer. To report on marketing with it, you actually run a stack of at least three tools: an ETL/ingestion tool (e.g. Fivetran) to pull data from Google, Meta, your MMP and more; a warehouse (BigQuery, Snowflake, Redshift) to store it; and the BI tool (Looker, Tableau, Power BI) to visualise it. None of those layers were built for marketing data or marketing context, which carries consequences.
Clarisights is a single, marketing-native analytics workspace. It connects, joins and models channel, analytics, attribution and backend data out of the box, and lets marketers explore and report on it directly, without SQL, tickets to data team or juggling multiple tools.
BI dashboard stack (ETL + warehouse + BI) | Clarisights | |
Built for | General/executive reporting | Marketing teams and data teams |
Granularity | Usually settles at campaign level to control cost | Down to ad, keyword, creative and element level |
Who can self-serve | Analysts / data team (SQL) | Marketers directly, no SQL |
Marketing context (metrics, definitions) | Not built in, you model it yourself | Built-in semantic layer with governed KPI definitions |
Cost at granularity | Ingestion + compute costs rise fast | Marketing-native, granular by design |
Maintenance | Multi-tool data-engineering project | Managed connections, marketer-editable reports |
Time to a new report | Days to weeks (backlog) | Minutes |
In marketing, granularity is the whole game
Most BI reporting is designed for the C-suite: stable top-line tracking by channel, trend vs last quarter, performance against plan. But in marketing the unit of action is granular, so the unit of analysis has to be too. Channel-level numbers average winners and losers together: a paid-social line that looks fine can hide three campaigns burning money and two carrying the whole thing. At ad-group or ad level you can spot it in thirty seconds. Clarisights is built to work at that level as the default; BI stacks usually do not. (For the full argument, see our deeper piece: The issue with BI dashboards in marketing reporting.)
Granular data gets expensive in a BI stack
The reason BI setups usually stop at campaign level is cost. Ingestion tools charge on volume, and marketing alone often accounts for a large share of the bill because it generates so much data. Compute costs then climb as you query at finer grain: the same business question ("group these campaigns by market and sum revenue") scans far more rows at keyword level than at channel level. AI makes it worse. Warehouses were priced around a handful of humans running a few queries a day, not agents firing thousands. Clarisights is built for granular marketing data as the norm, so teams don't have to trade away detail to control spend.
Metrics only mean something in context
"Just let AI query the warehouse" runs into a second problem: marketing metrics are context-dependent. Paid social, CRM, brand and search teams care about different valid metrics; the KPI for a branding campaign differs from a performance one; Germany's definitions may differ from France's. A warehouse model that picks one definition of "conversion" and applies it everywhere will be wrong. Clarisights carries the metadata and governed definitions on top of the raw data, so marketers and AI agents get answers that are right for the team asking.
Marketing changes faster than a BI stack can keep up
Marketing changes constantly: new campaigns, product lines, creative concepts, shifting spend and priorities — each needing new metrics, dimensions or data. In a multi-tool BI stack, every shift becomes a data-engineering project spread across teams with their own backlogs. Clarisights lets marketers add segments, metrics, dimensions and dashboards themselves, while data teams keep governance and access control. This way reporting can move at the speed of marketing strategy.
When a BI dashboard is still the right choice
If your reporting need is stable, executive, cross-company top-line dashboards and marketing granularity isn't the point, a BI tool on your warehouse is a perfectly good fit, especially where it already serves finance, product and sales. Clarisights isn't a general-purpose BI replacement; it complements your stack and can export aggregated data back to BigQuery or Snowflake. The case for Clarisights is specifically about granular, fast-moving, marketer-owned reporting.
Why marketing teams choose Clarisights
Rated 4.9/5 on G2 (majority enterprise reviewers), Clarisights is used by enterprises including HelloFresh, Delivery Hero, On and Bitpanda to give marketers self-service, creative-level, cross-channel reporting with governance — without SQL, spreadsheets, or waiting on the data team.
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4.9 out of 5
