Measurement infrastructure built for an AI search world — tracking every touchpoint from AI citation to conversion, and connecting every channel to revenue.
You can't optimise what you can't measure — and most analytics setups weren't built for an AI search world. When someone reads your brand name in a ChatGPT response, then searches for you directly on Google, that visit registers in your analytics as "direct" — completely hiding the AI citation that drove it.
We build measurement infrastructure that captures the full picture: AI citation tracking, traditional channel performance, paid search efficiency, and the multi-touch attribution modelling that connects every touchpoint — including AI-driven ones — to pipeline and revenue.
Full GA4 setup review and rebuild: event tracking taxonomy, conversion goal configuration, user journey analysis, enhanced measurement verification, and BigQuery export setup for raw data access — no sampling, no gaps, no reliance on Google's pre-built reports.
Custom monitoring infrastructure that queries ChatGPT, Gemini, Perplexity, and Claude with your priority prompts on a scheduled basis — turning qualitative AI presence into quantitative, trackable metrics with trend data over time.
Live, auto-refreshing dashboards built for both marketing teams and C-suite stakeholders — with the metrics that matter, presented clearly. We build separate views for operational reporting, executive summaries, and board-level KPI tracking.
Custom data-driven attribution models that assign proper credit across every touchpoint in your customer's journey — from first AI Overview impression to final conversion — giving you accurate budget allocation data instead of last-click distortions.
We connect your marketing analytics to your CRM (Salesforce, HubSpot, or Pipedrive) and revenue data — so you can see actual pipeline and revenue impact by channel, not just lead volume or conversion counts.
Senior strategist-led monthly reviews: what's working, what's not, what we're doing about it. Full context, clear recommendations, and metrics that map to your business goals — not just a deck of charts to interpret alone.
We audit your existing GA4 setup, data layer, and tracking implementation — documenting every gap, error, and missing conversion event before designing the correct measurement architecture.
We implement the new measurement architecture — either directly via GTM or by working with your engineering team — and verify every event and conversion fires correctly across all page types.
We build your Looker Studio dashboards — connecting GA4, Search Console, your ad platforms, and our AI citation monitoring — with custom calculated metrics and the views each stakeholder needs.
Attribution model configuration, CRM integration, and a full training session for your team — so you can read and act on your data independently, not just rely on our interpretation of it.
Clients who implement proper attribution modelling consistently reallocate budget from underperforming channels to high-performing ones — with an average 4.1× return on total marketing investment at 12 months.
We deliver your initial live dashboards within 48 hours of kick-off — pulling from existing data sources while the deeper implementation work proceeds in parallel.
Every measurement system we build is designed around your specific tech stack, business model, and KPIs — not adapted from a generic template that doesn't account for how your business actually works.
"We had GA4 implemented but completely broken — we were making budget decisions based on data that was 60% wrong. SIGNAL fixed it in two weeks and we immediately reallocated $80K/month away from channels that were lying to us."CMO, Series C SaaS Company
If you genuinely don't know which channels are driving revenue — or if different stakeholders in your organisation have fundamentally different views of the data — analytics infrastructure is the priority investment.
Brands investing heavily in both paid search and organic channels need attribution that correctly allocates credit across both — so you're not systematically overstating paid performance at organic's expense.
When your investors or board want clear marketing ROI data — by channel, by quarter, with trend visibility — you need measurement infrastructure designed for executive audiences, not just marketing teams.
Many brands migrated from Universal Analytics to GA4 and ended up with broken tracking that nobody fixed. If your GA4 numbers don't match your UA historical data or your business reality, the implementation needs an audit.
GEO and AI Overview optimization are difficult to measure with standard analytics — because AI-influenced users often arrive via direct or branded search. Our custom attribution models capture this influence specifically.
Brands with long sales cycles need to track prospects from first anonymous touch to closed-won deal — connecting marketing channel data to CRM pipeline data so you can see which channels produce the best customers, not just the most leads.