We instrument, audit and model the data flow that connects spend to outcome. The work runs from getting the tagging right at the source, through building defensible attribution models, to producing the dashboards leadership uses to plan the next quarter's spend.
Statistical models that quantify each channel's contribution to revenue using historical spend and outcome data. We use the model to settle the 'where does the next dollar go' debate with evidence rather than instinct, surfacing diminishing-returns curves and the channels that are quietly under-allocated. The result is a media plan that holds up under board scrutiny and that the marketing team can explain quarter to quarter.
Move past last-click defaults with multi-touch models that credit every meaningful touchpoint along the customer journey. We pick the right model for the data you have (data-driven where the volume supports it, rule-based where it doesn't), then wire it into reporting so paid teams can see which combinations of channels actually convert. Fewer credit fights between teams, and faster decisions about where to lean in or pull back.
Geo lift, holdout and matched-market tests that isolate the true causal impact of marketing spend. Where MMM gives you direction at the channel level, incrementality answers the harder operational question: would this campaign have produced the same revenue if we hadn't run it. The result is fewer arguments about whether a channel is 'really working' and more confidence in the spend decisions that follow.
Implementation of server-side GTM, Meta Conversion API, Google Enhanced Conversions and the data-clean-room patterns that hold up against ITP, ad blockers and signal loss. We move tracking off the browser where the data is degrading and into infrastructure you control. The result is recovered conversion volume in your ad platforms, more accurate ROAS and a measurement stack that doesn't lose another step every privacy update.
A full review of tracking implementation across every property: website, app, ad platforms, email systems and the warehouse layer they all feed. We document gaps, mis-fires and duplicate events at the source, then ship a remediation plan the engineering team can execute. Data lands in the warehouse already trustworthy, instead of analysts spending half their time explaining why two reports disagree.
Dashboards that connect marketing spend to business outcomes the weekly leadership review can run from. We build the headline view (ROAS, CAC payback, blended efficiency, channel mix) and the supporting cuts that explain it, with definitions agreed across finance and marketing so nobody arrives with their own version of the number. Marketing walks into operating reviews with a defensible budget ask.
Ad and content analysis that drives real decisions about creative, audience and budget. We bring together creative-level performance, audience-level signals and the patterns that explain why some campaigns scale and others stall, all in one view a marketing lead can act on. A creative pipeline that prioritizes the assets that work, and a media plan that ramps spend behind the audiences that compound.
Align on the metrics that matter before any dashboards get built. We run working sessions with leadership to define the operating dashboard's headline metrics, the supporting cuts that explain them and the cadence each one is reviewed. The team comes out with a small set of measures everyone agrees on, instead of fifty dashboards arguing past each other.
Thirty minutes with a 829 Analytics partner. You leave with a prioritized view of what to build first, what's worth waiting on, and the business metric anchoring each move. Whether or not we end up working together.
