Measurement Made Simple.

Simplicity Signal is our proprietary attribution and measurement platform that tracks every media dollar to revenue - across TV, radio, podcast, search, social, programmatic, and CRM. Unlike third-party tools that only see one channel, Signal sees the entire customer journey because we manage the full funnel. It ingests data from broadcast logs, ad platforms, web analytics, call tracking, and CRM systems to provide a unified view of what's actually driving revenue.

Platform reporting tells you what each platform wants you to hear. Meta claims credit for everything in its 1-day view / 7-day click window. Google does the same. When you add up all platform-reported conversions, you get 2-3x more than actually happened - that's the double-counting problem. Simplicity Signal deduplicates across all channels, applies incrementality-validated weights, and connects to actual CRM revenue data. We measure what matters: real pipeline, real close rates, real LTV.

Attribution (MTA) distributes credit across digital touchpoints - useful for tactical optimization but doesn't prove causation and can't measure offline channels like TV and radio. Incrementality testing runs controlled experiments (geo-holdouts, matched-market tests) to measure the true causal lift of a channel - what WOULDN'T have happened without the spend. Marketing Mix Modeling (MMM) uses 2-3 years of aggregate data to model channel contributions while accounting for seasonality, competition, and macro factors. We use all three together: MMM for strategic budget allocation, incrementality for channel validation, and MTA for real-time tactical optimization.

We match broadcast airing logs (down to the second) against real-time web traffic, search volume, call center activity, and CRM entries. When a TV spot airs at 2:47pm on CBS, we can see the spike in branded search, direct site visits, and phone calls within the next 5-30 minutes. We model the baseline (organic traffic) separately from the broadcast-driven lift, then connect that lift to downstream conversions and revenue. This gives us spot-level ROAS for every airing on every station - not just campaign-level estimates.

Yes - it's central to our measurement practice. We design and run three types: (1) Geo-holdout tests where we suppress media in matched markets and measure the conversion differential. (2) Audience-level holdouts where we randomly exclude segments from exposure and compare outcomes. (3) Time-based spend experiments where we increase/decrease spend in controlled periods. We require statistical significance before making allocation decisions. Every incremental dollar we recommend has experimental evidence behind it.

Weekly. Traditional agencies refresh MMM annually or quarterly - which means you're making decisions based on stale data. Our models ingest new data every week: fresh media spend, conversion events, revenue data, competitive activity, and external signals. We retrain models monthly and provide weekly allocation recommendations. For clients spending $1M+ per month, we can provide near-real-time dashboard updates with sub-24-hour data latency.

Every client gets a live Simplicity Signal dashboard with: cross-channel revenue attribution, channel-level ROAS and CPA, branded vs. non-branded search lift analysis, creative performance by variant, landing page conversion rates, and weekly optimization recommendations. We also provide executive-level monthly reports designed for board and C-suite consumption - clear, visual, defensible. No 80-page decks full of metrics nobody reads.

Yes. We integrate with call tracking platforms, CRM systems (Salesforce, HubSpot, custom), point-of-sale data, and offline conversion uploads. For clients with sales cycles - mortgage, legal, financial services - we connect the initial lead to the final close, sometimes months later. This closed-loop attribution means we optimize for revenue and LTV, not just leads. It's the difference between optimizing for volume and optimizing for value.

Our core measurement framework works for clients spending as little as $25K/month across 2+ channels. At $100K+/month, we can run statistically significant incrementality tests and weekly MMM refreshes. At $1M+/month, we deploy the full Simplicity Signal suite with real-time dashboards, automated optimization recommendations, and dedicated analytics support. The measurement scales with the media - whether you're spending $300K/year or $50M/year, every dollar is accountable.

We were privacy-ready before most agencies knew it was a problem. Our measurement framework is built on server-side conversion tracking, first-party data integration, and statistical modeling - not third-party cookies. We use Enhanced Conversions, Conversions API, and privacy-compliant data clean rooms. Our MMM and incrementality testing approaches are inherently privacy-compliant because they use aggregate data, not individual-level tracking. The post-cookie world is actually our competitive advantage.