Service · Analytics
Analytics
The measurement layer most agencies pretend already works — server-side, warehouse-first, attribution that survives consent.
What does SEVCO build into a modern marketing analytics stack?
A SEVCO analytics build covers four layers: collection (server-side via GTM Server, Stape, or first-party endpoints), modelling (events, conversions, revenue, and identity in a warehouse like BigQuery or Snowflake), activation (audiences and conversion APIs sent back to ad platforms), and reporting (dashboards in Looker, Lightdash, or Metabase tied to source data, not platform exports).
The point is not a prettier dashboard. The point is that the number on the dashboard is the same number on the invoice — and that you can defend it.
Why is server-side tracking required in 2025?
Browser tracking has been eroding for years. Safari ITP, Firefox ETP, ad blockers, the App Tracking Transparency framework, and consent management platforms together discard a meaningful fraction of every event a client-side pixel tries to fire — typically 10–30% of conversions, sometimes more.
Server-side tagging moves event collection to your own infrastructure, lets you enrich events with first-party data before sending them to ad platforms, gives you control over consent, and dramatically improves match rates on the conversion APIs (CAPI, Enhanced Conversions, Reddit CAPI, LinkedIn CAPI) that ad algorithms now depend on.
What attribution model should we use?
There is no single correct model. SEVCO typically combines three views: a last-touch view for operational reporting, a position-based or data-driven model for channel-level decisions, and an MMM (marketing mix model) for budget allocation across channels and time.
The right model is the one your team will actually use to make decisions. We build to your decision cadence, not to a vendor's preferred output.
What's included in a SEVCO Analytics engagement
- Server-side GTM (GTM Server / Stape / first-party endpoint)
- Warehouse data model (BigQuery, Snowflake, or Postgres)
- Conversion API integrations (Meta, Google, LinkedIn, TikTok, Reddit)
- Identity stitching and audience activation
- Dashboards in Looker, Lightdash, or Metabase
- Attribution model and reporting cadence
Who this is for
- Companies spending $50k+/month on paid where tracking quality affects ROAS
- Marketing teams that cannot reconcile platform numbers to CRM revenue
- Brands moving from a single-channel to a multi-channel motion
Frequently asked questions
Does SEVCO replace our existing analytics platform?
Usually no. We typically keep your existing front-end analytics (GA4, Heap, Mixpanel) and add a server-side and warehouse layer beneath it. The goal is one set of numbers everyone trusts, not another tool to maintain.
How long does an analytics implementation take?
A focused server-side and CAPI rebuild runs 4–6 weeks. Full warehouse + attribution builds run 8–14 weeks depending on data volume and the number of source systems.
Will this work with our existing CDP (Segment, RudderStack, mParticle)?
Yes. A CDP is often the cleanest collection layer. SEVCO will architect on top of an existing CDP rather than replace it.
Can SEVCO take over from our current measurement vendor?
Yes. Migrations include a parallel-run period so we can verify event parity before the old system is turned down.
Is this GDPR and consent compliant?
Yes. Server-side tagging is designed to honour consent state at the gateway, and we work with your CMP (OneTrust, Cookiebot, or similar) to enforce it.