Once a Retail or DTC brand starts catching real traction, things start to strain. The old answers about ROAS and revenue stop satisfying VCs, boards, and CFOs — now there are harder questions about margin strength, growth sustainability, and unit economics. And as the number of SaaS platforms in use multiplies, even simple questions about the health of the business turn into system-integration headaches: What should our LTV:CAC ratio be? Is our 1st-order profitability enough to sustain churn? Which AI use case is actually worth pursuing?
The average company has their data stored in 10-30 different SaaS applications.
The knee-jerk reaction is to start manually downloading snapshots of data from every one of those apps, hand the jigsaw-puzzle work to a highly-skilled domain expert, and repeat the whole process again the following week.
A truly miserable task.
Brands need to build a Latticework to get to the Insight. That means becoming genuine systems-integration experts — connecting Meta Ads, Google Ads, Shopify, NetSuite, and Salesforce data together, and building an advanced framework around LTV:CAC, retention, A/B testing, and predictive analytics, backed by a practical, battle-tested approach to Agentic AI.
Latticework Basic is a 3-month engagement built for mid-stage Retail & DTC brands ready to move off spreadsheets, manual workloads, and basic KPIs and onto a real AI Data Stack. It’s the methodology we’ve refined over 7 years coaching 70+ brands toward the kind of advanced analytics that elite brands use to outgrow their competition — see How Elite Brands Use LTV:CAC Analytics to Outsmart Their Competition for more on that.
By the end, you’ll have the mission-critical foundation of an AI Data Stack in place, and a team that’s confident making data-driven decisions as the brand keeps growing.
