Solutions
Data stacks for each stage of a DTC brand, and fixes for the problems that keep reports from matching.
For DTC Brands
By stage
- Data Stack for a Single-Channel Shopify BrandOne store holds every order, and the questions are about ads, profit per order, and who comes back. Here is what to use now, and what to build when you outgrow it.Read more
- Data Stack for a Multi-Channel DTC BrandThe same customer and the same product now live in several systems, each with its own fees, dates, and SKU codes. This is the stage where a warehouse usually starts to earn its cost.Read more
- Data Stack for an Omnichannel DTC BrandOnline orders now sit next to an ERP, wholesale accounts, and retailer data. Finance, operations, and planning need one model that covers every place the product is sold.Read more
By problem
- When Shopify, Finance and Marketing Report Different RevenueThree teams, three revenue numbers for the same month. Usually none of them is wrong. They answer different questions and nobody wrote down which.Read more
- Contribution Margin by ChannelContribution margin by channel tells you which places you sell are worth more spend. It only works when every fee and cost lands on the right channel, once.Read more
- Amazon Profit ReconciliationAmazon margin can change days after the sale, and the fee total rarely matches the deposit. Both have a cause you can name and a report that explains it.Read more
For Infusion Centers
By problem
- Infusion Referral Leakage and Time to First InfusionEvery referral that never becomes a treatment is a patient and a referring office you may lose. Most centers know how many patients they treated, not how many referrals never started.Read more
- Infusion Claim Denials: Find the Root CauseA denial rate on its own tells you there is a problem, not where it starts. The reason codes on your payment remittances already point to the step that failed.Read more
Don't see your problem here?
These are the ones we see most. Tell us what isn't adding up and we'll say where we'd start.