Monthly ARR loss cut by 79%.
Reduction in average monthly ARR loss across the period.
A fund needed to produce a robust customer ARR cube and snowball to share with bidders. The underlying data was very noisy, with upsell, downsell and churn overstated because ARR was being derived incorrectly from invoices.
We created a table of more than 1,000 adjustments to correct false ARR movements, reflecting common data entry and transformation errors, then overlaid a commercially led customer segmentation using our commercial skillset. The output was a bidder-ready Excel snowball broken down by price, product and volume, on top of a cleaned customer cube with realistic ARR volatility.
The cube handed seamlessly to the FDD team, the investment bankers and the bidder team, and proper classification of ARR movements delivered a large, justified improvement of around 3 to 4% in NRR and GRR.
There's been a day and night difference in this process since DVS got involved. You guys clearly get it.
Reduction in average monthly ARR loss across the period.
Single source-of-truth customer cube, consolidating multiple systems.
Key sales metrics tracked and cross-cut in one place.