Uncovering tactical insights from mixed data
Overview
A few clients came to me with lots of data, a lot of noise and little actionable signal. Payments, Google Analytics, CRM and email, all recording everything, and no idea which numbers actually mattered.
Goal
Uncover blindspots in data from leadership (the stuff that's actually useful)
Deliver insights the team can act on using story-telling format (instead of another dashboard)
Use AI where it makes sense; analysing the data to bring focus to specific problem areas
Outcome
Using some of the intel to implement improvements, Reading Rep saw a 43% increase in revenue
Deep data analysis surfaced validated insights like when people tend to book, when they renew membership and more.
The top-line
A snapshot surfacing the biggest thing that month, mostly to build the narrative, set the scene and draw in the reader.
How's business
In the case of clients selling tickets, revenue and donations are the headline figures, along with a YoY trend to provide context.
Who's booking?
Are we capturing more customers? Are they coming back, and how quickly? All within the context of previous period performances.
Booking flow performance
A quick way to spot issues in the live flow, with a noise floor built in.
Show by show insights
This section provides a huge tactical advantage when planning programming for future seasons.
Turning insight into action
Every month ends here. I take the biggest opportunity surfaced and turn it into a hypothesis to test, with a simple pathway to approve the test.
Handing over signal, instead of just data
The solution I came to is surfacing less, not more. Asking what questions they need answered, what blindspots they're feeling, then combining their data sources into one monthly narrative that ends in an action.
Let's talk
Book a call with Chris and let's discuss your project.
chris@caboodle.studio
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