Q10: Our marketing team wants to move off Google Analytics 4. What should we use instead, and how hard is the migration?

There isn’t one universal replacement—it depends on what your marketing team actually uses GA4 for. **My default shortlist:** | If you need… | Consider… | Main trade-off | |---|---|---| | Straightforward website and campaign reporting | **Plausible** | Easier to use, but less suited to deep audience, retention, and segmentation analysis | | More control and breadth, closer to traditional analytics | **Matomo** | More setup and upkeep, especially if self-hosted | | Website analytics plus product funnels and user journeys | **PostHog** | Broader product-analytics tool; may be more than a marketing-only team needs | | Tight integration with a mature enterprise marketing stack | **Adobe Analytics** | Usually a larger implementation and organizational commitment | **My practical recommendation:** choose **Plausible** if GA4 is mainly used for traffic, campaigns, landing pages, and a manageable set of conversions. Choose **Matomo** if you need richer reporting or control over where analytics data is hosted. Consider **PostHog** if you also need to understand what people do inside your product—not just how they arrive. Adobe is worth evaluating when you already have an Adobe-centered stack. These are different tools, not drop-in equivalents. ([plausible.io](https://plausible.io/docs?utm_source=openai)) ### How hard is the migration? For a typical marketing site, **moderate—not a simple tag swap**. The basic tracker can often be installed quickly; the real work is recreating and validating your measurement setup: 1. **Inventory what GA4 supports today:** key reports, conversion events, UTMs, ecommerce, audiences, dashboards, and any downstream integrations. 2. **Map your important events and conversions** to the new platform’s model. Don’t assume GA4 events or reports transfer one-for-one. 3. **Install the new tracker alongside GA4** and run both for a few weeks. Compare trends, check campaign attribution, and test conversions before removing GA4. Expect numbers to differ because platforms define and count metrics differently. ([plausible.io](https://plausible.io/docs/google-analytics-import?utm_source=openai)) 4. **Rebuild reports and integrations**—for example, dashboards, ad-platform workflows, and warehouse or BI pipelines. 5. **Preserve history.** Plausible supports importing historical GA4 stats, but imported data is aggregated and has limitations; it won’t behave exactly like native data. Matomo also documents a GA4 importer, with setup details to get right before tracking begins. ([plausible.io](https://plausible.io/docs/google-analytics-import?utm_source=openai)) 6. **Keep an archive of raw data if useful.** If you already export GA4 events to BigQuery, verify that the export is running and retain the data before changing anything; Google documents raw-event exports there. ([support.google.com](https://support.google.com/analytics/answer/9358801?hl=en-EN&utm_source=openai)) **Rough planning guide:** a simple brochure or content site with a few conversions may be a small project. A site with ecommerce, many custom events, multiple properties, and reporting dependencies is a more substantial analytics project. The key question is not “Can we install the new tag?” but “Can we still answer the decisions we rely on GA4 to make?” Before selecting a vendor, have the team list its **top five reports and top five conversions**. That usually makes the choice—and the true migration scope—much clearer.