UTM parameters
GA4 parses campaign tags on the landing URL and stores them on the session. If the tags are missing, it has to guess.
example.com/offer?utm_source=facebook&utm_medium=paid_social
Dáva vs Google Analytics
Why Dáva Zmysel outperforms GA4 at attribution.
As privacy rules tighten and third-party cookies disappear, marketers are re-checking how they credit a visit. Google Analytics 4 remains the default analytics suite. Dáva is a focused, first-party origin tracker — built for attribution, not another behavioural warehouse.
How GA4 tracks user origin
GA4 infers source from tags, referrers and channel rules.
When a visitor lands, GA4 looks at campaign parameters or the referring site, then assigns a source and medium. If neither is present, the session is Direct.
Key limitation
Returning visitors, email clients, dark social and in-app browsers often arrive without UTMs or a usable referrer. GA4 does not natively persist previous-session attribution across devices without a signed-in user or Google identity signals.
Referrer data
With no UTMs, GA4 falls back to the HTTP referrer. Apps, email clients and privacy-focused browsers often send none.
A Facebook post URL that never reaches analytics as a campaign.
Default channel grouping
Source and medium are sorted into buckets such as Organic Search, Paid Social or Direct. The bucket is only as good as the inputs.
Paid search becomes Direct when the campaign tags do not arrive.
Direct as a fallback
No referrer and no UTMs means Direct. That bucket mixes typed-in visits with traffic whose origin was stripped.
In-app links, dark social and shortened URLs often land here.
How Dáva tracks user origin
If a visit hits your site, you already know the campaign.
Dáva does not wait for a cookie, a referrer or a UTM to survive. Each campaign, ad or partner gets a unique landing page or tracking link. That URL is the source of record.
Unique landing pages & gateway pages
Custom entry URLs for every campaign, source or placement. Gateway pages record origin before a compliance step. Unique landing pages can also carry campaign-specific copy.
Source captured at the click
When someone opens a Dáva tracking link, the available campaign details are recorded before redirecting to the intended page.
Session and outcome stay attached
The website snippet keeps that source with the pages and actions in the same session, then links the result you configure as Hot or Acquired.
Side by side
The same questions. Two different answers.
GA4 is a broad analytics suite. Dáva is attribution infrastructure. The comparison below is about origin, not every GA4 report.
Data integrity & access
Raw origin, without sampling the report.
GA4
The free GA4 interface is aggregated. Explorations can sample once a query crosses a session threshold. Hit-level detail usually means BigQuery, extra cost and custom queries.
Dáva
Dáva is built around origination. Each captured visit is stored so you can inspect the source, session activity and outcome without reconstructing events in another warehouse first.
Privacy compliance
First-party capture, on infrastructure you control.
GA4
GA4 is a third-party analytics service. European authorities have published findings that sending analytics data to US-based Google infrastructure can raise GDPR issues, even with IP anonymisation.
Dáva
Source capture is designed to run first-party through a domain you control, without depending on third-party cookies or a browser pixel to name the campaign.
Data accuracy
Origin recorded at the click, not inferred later.
GA4
GA4 still depends on cookies, referrers, UTM tags and client-side scripts. Those signals are weaker after browser privacy changes, in-app browsers and consent rules. Unidentified visits are often labelled Direct.
Dáva
A unique landing page or tracking link embeds the source in the entry itself. Attribution does not wait for a cookie, a referrer header or a signed-in Google identity.
Data freshness
See the visit while the campaign is still running.
GA4
GA4’s real-time view is surface-level. Full event reporting is often delayed, and explorations or BigQuery add more latency.
Dáva
Captured visits and their sources appear as they are recorded. That is useful when you need to check a broken campaign the same day, not two days later.
Ease of use
Campaigns and outcomes, not event schemas.
GA4
GA4’s event model is flexible, but reading traffic sources and conversions often means configuring streams, events and explorations first.
Dáva
The dashboard is organised around sources, sessions and outcomes. Export is available when you need a sheet, not a new certification.
When GA4 might be a better fit
Keep GA4 for behaviour. Use Dáva for origin.
GA4 is still the right choice if you need a broad behavioural suite: site-wide event design, funnel analysis or a data-layer that feeds BigQuery. That flexibility is real. It is also why attribution is easy to lose in the setup.
If the job is accurate origin — without sampling, a US-hosted third-party pixel or another certification — Dáva is purpose-built for that job.
TL;DR
Key takeaways.
GA4 remains dominant. Its complexity, sampling and origin gaps are why teams look for a dedicated attribution layer.
Precision without guesswork
GA4 attribution often breaks when privacy rules strip metadata. Dáva records origin at a dedicated entry URL.
Data integrity & access
GA4 can sample large explorations and keep raw hits behind BigQuery. Dáva keeps origination data inspectable by default.
Privacy compliance
GA4 processes data as a third-party analytics vendor. Dáva keeps source capture first-party.
Freshness and usability
GA4 reporting can lag. Dáva is built so a marketer can check a source without decoding an event schema.
Compare it against your own GA4 Direct bucket.
Bring a traffic report. We’ll show what Dáva would record for the same campaigns — and where GA4 is still the better tool.
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