Analytics export layer for marketing automation gaps

The recurring moment here is when a marketer pulls a performance report from their automation tool and immediately opens a second tab — a spreadsheet, a BI tool, another analytics product — because the built-in reporting stops short of what they actually need to answer. Multiple users name this the same way: 'the analytic part is useful but lacks completeness, requiring the use of other software to fill the gaps.' And: 'some advanced features, like deeper analytics and automation, are limited.'

The reason this gap persists is that marketing automation vendors have to balance depth of analytics against the cost of building and maintaining a reporting engine alongside the delivery infrastructure. They make the send engine excellent and the reporting surface just good enough. The user who needs cohort analysis, attribution across channels, or cross-campaign frequency capping has nowhere to go inside the tool and is forced to export — except that export is often incomplete, delayed, or locked behind API calls that require engineering support.

What makes this worse: when users try to pull data out via API, they hit the limits users described — 'API limitations present minor challenges when it comes to integration' is the polite version; the real version is that getting clean engagement data out of Adobe Campaign into a BI tool requires writing custom extraction scripts that break when the schema changes.

This is a business and not a feature because the reporting need recurs every week, every campaign cycle, every board meeting. A marketing director who can't show channel attribution or campaign ROI in a clean format is flying blind at a recurring cost — not a one-time inconvenience. The buyer is anyone who controls a marketing budget and has to justify it upward, and they'll pay to stop spending four hours a week in spreadsheets.

What to build

Build a scheduled extraction and normalization service that pulls campaign engagement data from Adobe Campaign's API, transforms it into a clean, query-ready schema, and delivers it as a live-connected dataset to Google Looker Studio or Tableau without requiring the marketer to write SQL or manage API credentials.

Where to start

Start with Adobe Campaign Classic users exporting to Looker Studio, because Looker Studio is free and widely used, lowering the barrier to try the connector, and Campaign Classic's reporting gaps are well-documented in Adobe's own community forums.

The hard part

Adobe Campaign's API surface differs meaningfully between Classic and Campaign Standard, so supporting both doubles the extraction logic and the maintenance surface — you have to pick one to start and risk leaving half the market out.

How it makes money

Monthly subscription per workspace, tiered by number of campaigns tracked and data refresh frequency, with a free tier limited to one campaign at daily refresh to drive organic adoption.