One number everyone agrees on.

Out-of-the-box GA4 tracks pageviews and last-click conversions, which undercounts the channels that actually influence a buying decision. Most startups also have broken events, double-counted conversions, or no link between ad spend and CRM revenue, so the numbers look precise but aren't trustworthy.

We start with data-driven or position-based multi-touch attribution rather than last-click, then adjust the model to your actual sales motion — self-serve, sales-assisted, or long B2B cycles behave differently. You get a model you understand, not a black box.

GA4 and Google Tag Manager form the tracking layer, with server-side tagging for platforms losing signal to iOS/cookie restrictions. Dashboards typically live in Looker Studio, though we'll build in whatever BI tool your team already trusts.

We build consent-mode tracking and data-retention settings aligned to GDPR and CCPA from the start, not bolted on after launch. Personally identifiable data is minimized in the analytics layer and handled per your existing privacy policy and legal counsel's requirements.

We start by identifying the two or three decisions each stakeholder needs to make weekly, then build dashboards around those — not every metric available. Growth, finance, and channel owners each get a view sized to what they own.

Both — acquisition numbers mean little if retention is leaking. Cohort analysis shows which channels, campaigns, or onboarding flows bring in users who stick, so budget shifts toward durable growth instead of one-time spikes.

Marketing mix modeling estimates each channel's contribution to revenue using aggregate spend and outcome data, which matters as privacy restrictions erode click-level tracking. We layer it in once you have enough spend history across channels for the model to be meaningful, typically a few months in.

Analytics is the measurement layer underneath everything else Motion 8 runs — paid, SEO, content, lifecycle — so every campaign we launch is instrumented to prove itself from day one. If you're only engaging us for analytics, we build the same infrastructure to plug into whatever agency or in-house team runs the campaigns.

The audit and core tracking instrumentation typically take two to three weeks, with dashboards following in week three or four. Attribution modeling and marketing mix modeling mature over the following months as more data accumulates.

Setup is scoped as a fixed project based on how many platforms and data sources need wiring together, with ongoing dashboard maintenance and monthly reporting billed as a retainer. We'll give you an exact number after a short scoping call — no generic package pricing.

Yes — if you already have a warehouse (BigQuery, Snowflake) or a BI tool (Looker, Tableau, Power BI), we build models and dashboards on top of your existing infrastructure rather than replacing it. We only recommend new tooling when there's a real gap.

You do, fully. Every account, container, and dashboard is set up under your organization's ownership from day one, so there's no migration or handoff friction if the engagement ever ends.

Monthly (or biweekly, for faster-moving teams) reviews turn dashboard trends into specific actions — budget reallocation, retention fixes, new tracking requests as your product changes. It's an ongoing loop, not a one-time report drop.

Our analytics team sits inside the same agency running paid, SEO, and content for other clients, so we build measurement that anticipates how campaigns actually get run — not generic tracking a freelancer hands off and disappears. We've done this for teams reporting to investors and boards, where the reporting has to hold up to scrutiny.

Book a scoping call and bring access to your current analytics, ad accounts, and CRM — we'll audit what's there and come back with a concrete plan and quote within a few days. No commitment required for the initial audit conversation.