Quick answer
Financial planning and analysis software for DTC brands is planning software built around direct-to-consumer economics: customer acquisition cost, cohort retention, contribution margin, and data from Shopify, Amazon, and ad platforms. It consolidates that data into one model so DTC brands can forecast, judge marketing efficiency, and see whether growth is profitable.
DTC planning starts with cohorts
A direct-to-consumer brand's forecast lives or dies on one relationship: does contribution margin from a customer outrun the cost to acquire them, fast enough to fund growth? That question is a cohort question, not a blended-revenue question, and it is why DTC brands need planning software built for it.
Key term: Payback period. How long it takes the contribution margin from a customer to repay the cost of acquiring them. Shorter payback means growth funds itself; long payback means growth burns cash.
What DTC planning software should include
- Consolidated channels. Shopify, Amazon, and ad platforms in one model automatically.
- Cohort retention and LTV. By acquisition month, not blended.
- CAC and contribution margin. The core test of profitable growth.
- Cash and inventory. Because even pure DTC pays for stock up front.
The strategy-changing insight
Trevi consolidated Shopify and Amazon with cohort analysis and found customers bought smaller bundles more often, improving retention and economics, then rebuilt merchandising around it. The takeaway holds broadly: the number that changes DTC strategy is rarely on the surface, and you need software that surfaces cohort behavior to find it.
Where Drivepoint fits. Drivepoint is the AI finance platform built exclusively for consumer brands. It consolidates Shopify, Amazon, retail partners, and your GL into one live model in Excel, then answers what-if questions in minutes. Customers improve EBITDA margins by 6.7 points on average in their first year, and one exceptional finance person with Drivepoint replaces three without it.