Attribution Modeling & Reporting
Attribution models that connect marketing activity to pipeline and revenue - single and multi-variable - plus data analysis, dashboard creation, and the visualization that makes the numbers navigable.
Most marketing dashboards report activity, not contribution.
Clicks, opens, form fills - metrics that measure effort, not outcome. Attribution modeling changes the question from 'what did we do' to 'what did it produce.' Tactical Marketing builds attribution models from the data layer up - starting with the tracking integrity and data quality that make any attribution model trustworthy, then constructing the model that fits your sales cycle and revenue motion.
Our Approach
We build single-variable attribution models for programs with clean, linear buyer journeys and multi-variable models for complex, multi-touch sales cycles with long timelines and multiple influencers.
Both approaches begin with a data quality audit - because attribution built on dirty data produces confident-looking numbers that point in the wrong direction. Dashboard and visualization work delivers the output in a format your executive team will use, not just a data export they'll open once.
Discuss Attribution Modeling & Reporting
Connect with Phil to discuss your operational environment, what's not behaving correctly, and how Tactical Marketing approaches the repair and governance work.
Contact Us"I've had the privilege of collaborating with some incredibly brilliant minds throughout my career. Phil is definitely at the top of that list. One of his most valuable contributions is his innate ability to develop unique solutions to complex problems - often with such high levels of success that his solutions simply become 'the new way.' He builds trust and confidence in those he supports, and is the one you want advocating on your behalf when you need to influence others and drive change."
What We Do in Attribution Modeling & Reporting
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Frequently Asked Questions
Single-touch or multi-touch attribution - which do we actually need?
The sales cycle decides, not the sophistication arms race. A short, linear buying process with one or two meaningful touchpoints is served honestly by a single-variable model - and a multi-touch model layered on top of it adds complexity without adding truth. Long, multi-stakeholder cycles with months of touches across channels genuinely need multi-variable modeling to say anything useful. Plenty of teams run multi-touch models their data can't actually support, which produces precision theater. We scope the model to what your revenue motion and your data quality can honestly sustain.
Our tracking and CRM data are a mess. Can we still build attribution?
Not yet - and an attribution vendor who says otherwise is selling you confident numbers pointed in the wrong direction. Attribution inherits every flaw in the data feeding it: missing UTM discipline, conversion tracking that double-counts, CRM records that don't connect back to their source touchpoints. Every engagement starts with a data quality audit that tells you exactly what can be trusted, what needs repair, and what the repair involves. The unglamorous fix-the-tracking phase is usually most of the work. It's also the difference between attribution you can defend in a board meeting and attribution you have to hope nobody questions.
Do we need to buy attribution software for this?
Usually not. Most B2B organizations can build defensible attribution from systems they already own - the CRM, the marketing automation platform, GA4, and a reporting layer to join them. Dedicated attribution platforms earn their cost at high channel counts and touchpoint volumes, and even then they only work on top of clean underlying data - the same foundation we'd build anyway. If your situation genuinely warrants a platform, we'll say so with the reasoning attached. What we won't do is let a software purchase substitute for fixing the data layer, because that's the expensive way to get the same wrong numbers faster.
Related Services
Deliver.
Google Tag Manager
Tracking implementation that captures the events and conversions your reporting actually depends on - without creating data noise that distorts attribution.
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GA4
GA4 configuration built around the metrics that matter to your operation - not the default views that look comprehensive but don't answer the right questions.
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Google Search Console
Search performance monitoring and optimization - reading the signals that tell you how your organic presence is actually behaving.
Start the conversation.
If something isn't behaving the way it should, that's where we start. Phil reads every inbound personally and responds within one business day.