Start From the Data You Already Have
Sessions open with whatever tracking already exists, flawed or not. Building a hypothetical ideal setup first tends to make the real one feel inadequate before the work even starts.
Saxepi did not begin as a product. It began as a recurring problem in consulting engagements: marketing teams could report last-click numbers with confidence, but could rarely explain what was actually happening across the full customer journey.
Handing a team a one-off attribution report tends to solve the problem for exactly one meeting. The model is applied, a chart gets built, and three months later the team is back to last-click because nobody on staff understood how the model was built in the first place.
The workshop format exists to close that gap. Instead of delivering an answer, each session walks the team through the reasoning so they can repeat it themselves, on their own data, long after the session ends. That distinction shapes everything about how the material is structured.
Sessions are kept deliberately practical. There is very little theory presented without an accompanying exercise, and every exercise uses the team's own numbers rather than a generic example dataset.
Sessions open with whatever tracking already exists, flawed or not. Building a hypothetical ideal setup first tends to make the real one feel inadequate before the work even starts.
Every tracking setup has gaps. Rather than working around them quietly, the session names them directly so the team knows exactly where the data can and cannot be trusted.
A long sales cycle needs a different attribution approach than a same-day online purchase. No single model is presented as correct for every situation discussed.
Attribution discussions get complicated fast. Sessions avoid unnecessary jargon so that people outside the analytics function can participate fully in the conversation.
The goal is not to hand over a fixed answer about which channel deserves more budget. It's to leave the team with a repeatable way of asking that question themselves.
Workshops are led by facilitators with backgrounds spanning analytics, media planning, and marketing operations, chosen specifically to keep discussions grounded and practical rather than theoretical.
Spent much of her career on the analytics side of media agencies, building and defending attribution models to clients who were often skeptical of anything beyond last-click. She leads the data audit and model comparison portions of most sessions.
Background in marketing operations across B2B and retail teams. Focused on the cross-functional conversation between marketing, sales, and finance, where most attribution disagreements actually surface.
Formats range from a single half-day orientation to a multi-week cohort structure.