Full GA4 configuration: event taxonomy, conversion goals, custom dimensions, audiences, and integration with Google Ads and Search Console.
GTM container architecture, tag auditing, custom trigger and variable configuration, and data layer implementation for clean, maintainable tracking.
Custom marketing dashboards that pull from GA4, Google Ads, Meta, email platforms, and your CRM — all in one view, updated automatically.
Session recording, heatmap analysis, and user behavior research to identify exactly where and why users drop off in your conversion funnel.
Paid media attribution platforms for e-commerce brands that need accurate cross-channel ROAS and customer acquisition cost — beyond what platform pixels report.
Customer data platform setup for brands that need to unify behavioral data across their website, app, and marketing tools into a single, actionable data stream.
Brands who are spending on multiple paid channels and need accurate attribution to know where to put the next dollar — and where to cut.
Companies with complex, multi-touch buying journeys who need to understand which marketing activities are actually generating pipeline and closed revenue.
Internal marketing teams who have the execution capacity but need a rigorous measurement framework and decision-making system to operate against.
Companies that have raised and need to deploy capital efficiently. Analytics and attribution infrastructure is the prerequisite for every scaling decision that follows.
Reporting tells you what happened. Analytics tells you why it happened and what to do about it. A weekly report might show traffic dropped 20% — analytics explains whether it was organic, paid, or direct; which pages were affected; and what changed in user behavior. We build reporting systems, but our value is in the interpretation and action layer above the data.
Universal Analytics stopped collecting data in July 2023. GA4 is now the standard — but many brands migrated hastily without properly configuring their event taxonomy, conversion tracking, or attribution setup. The result is data that looks complete but is unreliable for decision-making. A proper GA4 audit and configuration is the foundation every other analytics investment depends on.
CRO (Conversion Rate Optimization) is the discipline of improving the percentage of visitors who take a desired action — purchase, form fill, sign-up. Analytics provides the data that identifies where to focus: which pages have the highest drop-off, which traffic segments convert worst, which steps in the funnel create friction. Analytics diagnoses the problem; CRO tests the solutions.
Attribution modeling is the method used to assign credit for a conversion to each marketing touchpoint in the customer journey. Last-click gives 100% credit to the final touchpoint before conversion. First-click credits the first. Data-driven (GA4's default) uses machine learning to distribute credit based on which touchpoints actually influenced conversion probability. No model is perfect, but data-driven multi-touch attribution is significantly more accurate than last-click for complex journeys.
Channels like organic social, brand awareness campaigns, and offline touchpoints require methods beyond click attribution. We use media mix modeling, incrementality testing (holdout groups), brand search lift analysis, and share-of-voice correlation to estimate contribution. We're honest about attribution limits — and build models that accurately reflect that uncertainty rather than pretending a last-click number is the truth.
A growth strategy defines the highest-leverage growth levers for your specific business at your current stage, and prioritizes investments accordingly. A marketing plan lists activities. A growth strategy answers: what is the one metric that, if improved, would compound into all others? Which channel, when scaled, changes the business? Which funnel step, if fixed, unlocks the most revenue? We build growth strategies around those answers — not activity lists.