The moment that triggers a search for something better: a marketing manager opens Adobe Analytics to answer a question their CMO asked in a meeting — 'which campaign drove the most qualified traffic last month?' — and 30 minutes later they're still trying to find the right report, unsure whether they've configured it correctly, and second-guessing the numbers. They don't need more data access. They need an answer.

This gap persists because Adobe's incentive is to sell to enterprise IT and analytics teams, not to the 12 marketers downstream who touch the data weekly but never attended a training. The buyer (IT, the analytics team) is not the sufferer (the marketer who gets lost). So nobody complains loudly enough for Adobe to simplify — their power users would resent it anyway. Complexity is a feature for the analyst; it's a tax for everyone else.

Existing workarounds — exporting CSVs, having an analyst build a custom dashboard — work once but don't scale. Every new question requires a new ticket to the analyst. The marketer never becomes self-sufficient. Complaints like 'not intuitive for the new user and lacks links to external software or websites such as Google Sheets' reveal that people are trying to escape into tools they understand, not that they need Adobe to be more powerful.

This is a business because the need recurs every week: new campaigns launch, new questions get asked, and the marketer's dependency on an analyst costs real time — typically hours per request at companies where the analytics team is one or two people. A team of five marketers each blocked twice a week represents ten analyst-hours lost, every week, indefinitely. The recurring subscription is easy to justify against that.

What to build

Build a read-only layer on top of Adobe Analytics that translates a predefined library of natural-language marketing questions ('which landing pages had the highest bounce rate this month?' 'which traffic source converted best?') into Adobe API queries and returns formatted, jargon-free answers with a one-click export to Google Sheets — no training, no report-builder interface.

Where to start

Start with a single repeatable use case: weekly campaign performance reports for paid media teams. This audience already knows what questions they ask every Monday morning, which means you can pre-build the exact queries without needing a flexible query builder at launch.

The hard part

Adobe's API access requires an enterprise contract with specific permissions enabled, and many companies have locked it down or have IT gatekeepers who won't authorize a third-party OAuth connection without a security review — meaning your first sales call often stalls at IT, not the buyer.

How it makes money

Per-seat SaaS subscription, charged monthly, targeting individual marketing teams rather than company-wide contracts — starting around $30-60 per user per month, with a free two-week trial that requires connecting a live Adobe Analytics account to demonstrate immediate value.

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