Measured

What It Does

Measured is an incrementality measurement platform designed to reveal the true, causal impact of your marketing spend. It systematically moves beyond the limitations and assumptions of traditional attribution models by running a continuous portfolio of experiments. These aren't one-off tests; the platform automates geo-matched market testing, conversion lift studies, and other methodologies to isolate the incremental value of each marketing channel, campaign, and tactic. In practice, I use it as a strategic tool to build a perpetually updated, evidence-based understanding of media effectiveness, proving which marketing investments are genuinely driving business growth and which are simply capturing demand that would have existed anyway.

Why It Matters for Marketing Operations

For any CMO or marketing leader, Measured is about trading ambiguity for certainty. It ends the boardroom debates over attribution models by providing experimental proof of performance that a CFO can understand and trust. This matters because it directly translates to smarter, more defensible budget allocation. In my experience across dozens of organizations, implementing this level of rigor typically uncovers significant waste in channels previously credited with high performance by flawed models like last-click. By reallocating that spend to channels with proven incrementality, we can directly accelerate pipeline generation, lower the cost of acquisition, and dramatically improve overall marketing ROI. It’s the mechanism for transforming marketing from a perceived cost center into a proven engine of revenue growth.

How I Deploy It

When I deploy Measured for a client, it becomes the central nervous system for media decision-making. The process begins with a deep integration of their data stack. I typically use a tool like Segment to pipe in clean data from every source: ad platforms like Google Ads and Meta Ads, web analytics from Google Analytics 4, and crucial conversion data from the CRM, which is often HubSpot or Salesforce. We also pull in backend transaction data from systems like Shopify or a company's internal database via BigQuery to get a complete picture of value. From there, we design a structured learning agenda, running a series of geo-lift and conversion-lift experiments to test hypotheses about specific channels or audience tactics. The insights don't just live in a dashboard; we use them to actively adjust media mix models and inform weekly spend allocation meetings, creating a tight feedback loop between insight and action.

When to Use It vs. Alternatives

Measured is the right call when your media budget is substantial enough that even a 5-10% efficiency gain translates into millions of dollars. It's built for complex, multi-channel advertisers who have outgrown the directional insights of standard attribution and need a scientific, portfolio-level view. If you're spending upwards of $1M annually on paid media, the investment is a no-brainer. For earlier-stage companies or those with a very simple channel mix, the native analytics in platforms like Google Analytics 4 or the attribution features within your CRM can suffice for a time. When considering alternatives, tools like Rockerbox or Northbeam offer strong attribution but are less focused on pure incrementality testing. If you need a dedicated incrementality solution, competitors like INCRMNTAL or Haus exist, but I find Measured's ability to integrate media mix modeling (MMM) with incrementality experiments provides a more robust and holistic framework for making strategic decisions at scale.

The Operator's Take

Attribution is for accountants; incrementality is for owners. Measured stops the cycle of spending money based on correlational data and forces a culture of accountability and proof. It's the tool I bring into an organization to ensure every single marketing dollar is treated as an investment that must demonstrate a clear, causal return. It’s how you build a marketing function that the CEO and board can finally believe in.