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

**Short answer:** don’t choose a tool until you decide whether you need a simpler web-traffic dashboard or a close replacement for GA4’s richer event, ecommerce, and reporting setup. For a typical marketing team, I’d shortlist **Matomo** for broader analytics needs and **Plausible** for simpler, privacy-focused website analytics. If you depend heavily on GA4-style exploration, audiences, and ad integrations, evaluate **Piwik PRO** too. | Option | Best fit | Main trade-off | |---|---|---| | **Matomo** | Teams needing detailed web analytics, custom events, goals, ecommerce, and more control over hosting/data | More configuration and a learning curve; imported history has limitations | | **Plausible** | Teams focused on pageviews, campaigns, landing pages, and a straightforward dashboard | Intentionally less like-for-like with GA4; advanced segmentation and reporting are more limited | | **Piwik PRO** | Teams wanting a more full-featured suite and a familiar transition path | Assess its plans, implementation needs, and feature fit against your requirements | ### How hard is the move? For **basic pageview and campaign reporting**, it can be fairly straightforward: install the new tracker, set up key goals, and validate the reports. For a **mature GA4 setup**—custom events and parameters, ecommerce, consent handling, Google Ads links, audiences, dashboards, and BigQuery exports—it’s a **moderate analytics project**, not a one-click swap. You’ll need to recreate and test the important parts, and the new platform’s metrics won’t necessarily match GA4 exactly. A sensible migration plan: 1. **Inventory what you use:** conversions, ecommerce events, custom dimensions, reports, integrations, and who relies on them. 2. **Choose based on those needs:** don’t assume every GA4 feature has a direct equivalent. 3. **Install the new analytics alongside GA4** for a few weeks. Test key journeys and compare trends; expect some discrepancies because platforms define and count metrics differently. 4. **Rebuild and verify conversions**—especially purchases, lead forms, and campaign attribution—before making the new tool your reporting source. 5. **Keep GA4 running until stakeholders sign off.** Treat historical imports as reference data, not a perfect continuation of the new platform’s data. History is the main gotcha: Matomo says its importer brings in **aggregated reports**, not raw visit-level data, and some reports or metrics aren’t available after import. Plausible can import some GA4 history too, but says that imported data has limitations and won’t behave exactly like natively collected data. ([matomo.org](https://matomo.org/faq/general/limitations-when-importing-google-analytics-data/?utm_source=openai)) **My default recommendation:** pilot **Matomo** if your team needs substantial analytics depth; pilot **Plausible** if the team mainly needs clear traffic and campaign reporting with less complexity. In either case, run them in parallel before removing GA4. If you share your site type, key GA4 reports/events, ad platforms, and whether privacy or self-hosting is the driver, I can narrow this to one.