How to migrate from Google Analytics to Clickport

What changes when you switch

Be clear-eyed about the trade before you start. Here is what you gain and what you give up.

You gain:

• One dashboard instead of a report maze. Visitors, sources, pages, locations, devices, goals, and sessions on a single screen that loads in under a second.
• No cookie banner. Clickport uses no cookies and no cross-site identifiers, so the consent wall that hides a third of your GA4 traffic is not needed for analytics.
• Data that is not sampled or modeled. What you see is what was measured, with bot traffic screened out at ingestion.
• A 2 KB script instead of a tag-manager payload, off your critical render path.

You give up:

• User-level tracking. No cross-session identity means no retention cohorts and no lifetime user journeys. That is a design decision, not a missing feature: it is what makes the no-banner, no-consent model possible.
• Advertising audiences. Clickport cannot feed remarketing lists. If your marketing depends on them, keep the ads tooling separate from your analytics.
• BigQuery-scale raw event exports. You get full CSV exports and an API instead.

Step 1: Run both in parallel

Do not switch cold. Add the Clickport snippet next to your existing Google Analytics tag; the two never interact, and neither cares that the other exists. Your GA4 property keeps collecting while you evaluate.

Sign up, add your site, paste the snippet before </head> (or use the WordPress, tag manager, or SPA route), and traffic appears on the dashboard within seconds. The 30-day trial needs no credit card, so the parallel month costs nothing.

Give it two to four weeks of overlap. That is enough to compare a full traffic cycle including weekends, and enough to build trust in the numbers before you remove anything.

Step 2: Import your Google Analytics history

This is the step that makes switching feel safe: your history comes with you. Clickport imports CSV report exports straight from the GA4 interface, and the imported history appears on your dashboard chart with a shaded background and marker lines at the exact days it begins and ends, like the chart at the top of this page.

Open Settings → Imports & exports, drop the files, and check the preview before anything is written:

The one GA4 quirk to know: add Date as the secondary dimension in each report before exporting, because the default export carries totals without dates. Rows dated after Clickport started tracking are skipped automatically, so double counting is impossible. The full walkthrough, including which four GA4 reports to export and the limits, is in the import guide.

Coming from a different privacy-focused tool instead? Drop its export ZIP on the same box; the files are recognized automatically.

Step 3: Find your way around

There is no learning curve to speak of, which is rather the point. Everything GA4 spreads across Reports, Explorations, and Advertising lives on one screen: KPI strip on top, traffic chart under it, and panels for Sources, Locations, Technologies, Campaigns, Pages, Sessions, Goals, and Journeys below.

Three habits transfer immediately: click any number to filter by it (that is GA4's comparisons, without the setup), use the date picker's presets and comparisons for period-over-period views, and hover the chart for per-day detail. The panels guide covers the rest.

Step 4: Recreate your goals and events

GA4 key events become Clickport goals. Most are pageview goals (a thank-you page, a signup confirmation) or click goals (a button, an outbound link), and both are defined in the dashboard with no code. Forms, downloads, and outbound clicks are tracked automatically, so several of your GA4 events need no recreation at all.

For anything custom, one call does it: clickport.track('Name', {props}, {revenue}). If you pass revenue, it shows up as a first-class metric behind every channel and campaign. Funnels come back as Journeys → Funnels, with drop-off per step.

Step 5: Connect Search Console and Bing

The one genuinely useful Google integration survives the move: connect Google Search Console and your search queries, impressions, and positions appear inside Clickport. Bing Webmaster Tools works the same way. Neither requires keeping GA4 around.

Step 6: Set up reports and exports

Replace your scheduled GA4 emails with weekly or monthly email reports, and Looker Studio dashboards with the built-in PDF report or a full CSV export when someone needs the raw numbers. Anything programmatic goes through the API.

Once the parallel month has convinced you, remove the GA4 tag. Before you delete the property itself, take a final export of your history; GA4 data is gone for good once the property is deleted, and the import from step 2 is the copy you keep.

Why your numbers will look different

They will not match GA4, and the difference is mostly GA4's missing data, not Clickport's:

• Consent banners. GA4 only counts visitors who click accept; the rest are invisible or modeled. Clickport needs no consent for analytics, so it measures everyone. Expect Clickport to report noticeably more visitors; our GA4 data-loss estimator shows the typical gap for your traffic mix.
• Ad blockers block the GA script aggressively; a lightweight first-party-friendly script is hit less often.
• Bot filtering. Clickport screens every hit through layered bot detection at ingestion; GA4's filtering is looser, which can inflate its counts on bot-heavy days.
• Unique counting. GA4 stitches users across days with cookies; Clickport counts privacy-safe daily uniques. Longer date ranges therefore show relatively more "visitors" in Clickport.

The seam is visible in your imported history too: left of the boundary line the numbers are what GA4 recorded, right of it what Clickport measures. A step up in levels at that line is normal and honest.

Where things are: GA4 to Clickport

Bigger operation? If you need SSO, an SLA, or invoice billing, see Clickport for enterprise or contact sales.

Migration questions, answered