Analytics
& Reporting
Complete visibility into what your marketing is actually doing — so every decision is based on data, not guesswork.
You Cannot Improve What You Cannot Measure
The most common problem M6 Marketing sees when we take on new clients is not that their marketing is bad. It is that they have no reliable way to know whether it is working. Google Analytics is set up but has no event tracking. Conversions are being counted twice. Attribution defaults to last click, which makes organic look underperforming and paid look like a hero. No one is reading the data because no one trusts it.
We fix the foundation before anything else. Accurate data is the difference between a marketing budget that compounds and one that leaks money indefinitely.
What We Build and Manage
Every analytics engagement is built around your specific business model, ad channels, and conversion goals — not a generic template.
From Broken Tracking to Clear Reporting
For one e-commerce client, we inherited a Google Analytics account that was counting every page reload as a new session and recording form submissions as duplicate conversions. Their reported conversion rate was 8.4%. Their actual conversion rate was 2.1%. Once we rebuilt the tracking correctly, they had an accurate baseline for the first time — and a clear picture of exactly where in the funnel they were losing customers.
We then built them a custom Looker Studio dashboard pulling data from Google Analytics 4, Google Ads, Meta Ads, and Klaviyo into a single view. For the first time, they could see which acquisition channel was delivering the best customer lifetime value — not just the best first-purchase ROAS. The answer changed their entire channel strategy.
Attribution Modeling: Who Actually Gets Credit
Most businesses are making channel decisions based on attribution models that misrepresent what is actually driving growth. Understanding your model's blind spots is how you stop cutting the wrong channels and start spending where it counts.
Last Click
Full credit to the final touchpoint before conversion.
Undervalues email, organic, and brand awareness channels.
Linear
Equal credit spread across every touchpoint in the path.
Often undervalues the campaign that initiated the relationship.
Data-Driven
Credit distributed based on actual influence in the conversion path.
Requires sufficient conversion volume to be statistically reliable.
“Adam uses advanced marketing methods that most non-profits are not even aware of. He uses his sales experience to inform his marketing efforts in extremely effective ways.”
— Chris Pham, Communications Specialist, Diocese of SaginawWant to know what your marketing data is actually telling you?
We offer a free analytics audit that identifies tracking errors, attribution gaps, and reporting blind spots in your current setup. No sales pitch — just a clear picture of where your data stands.
Book a free analytics audit →