Build a custom "Al Data Stack" → Deploy it to production → A/B Test with live customers → Upskill you team's "Data Culture"
When Retail & DTC brand start to really catch traction with their customers, lots of things start to break.
Even though they've proven they've got an idea that can scale, they've suddenly got VC's, Boards, and CFO's to answer to. But the basic answers they used to give about ROAS and Revenue are no longer cutting it. There's burning questions about the sustainability of their growth, about the strength of their margins, and about the scalability of their unit economics.
And as the number of SaaS platforms they're using begins to proliferate, answers to basic questions about the health of the company become staggeringly complex system integration headaches.
- Like, “what should our ideal LTV:CAC ratio be”, “is our 1st order profitability enough to sustain our churn rate” and “is our Black Friday discounting going to pay off in the long run”?
- Like, "what is a realistic use case for us to apply AI Agent towards", "which AI tools do I need to stitch together to get into production", and "are these investments in AI tools going to pay off"?
Brands need to "Build a Latticework to get to the Insight"
In order to address these questions, brands need to become deft system integration experts. There's complex scaffolding needed to support custom AI agents, data pipelines, data models, and analytical apps. They've got their mission critical data spread across 10, 20, 30 different SaaS platforms.
Brands need cutting edge AI & Data Stacks. And they need cutting AI & Data Skills.
It's no longer enough for them to be using canned, generic dashboard tools. They need advanced tools and advanced techniques that empower them to see their business more clearly, so they can graduate to their next stage of growth.
They need advanced analytical capabilities to marry their Meta Ads, Google Ads, Shopify, Netsuite, and Salesforce data together.
They need an advanced framework to look at LTV:CAC, Retention, A/B Testing, and Predictive Analytics.
They need an advanced Agentic AI approach that is practical, battle-tested, and easy to manage.
** This is the exactly why we created Latticework Basic!
Latticework Basic is a brand new offering that helps mid-stage Retail & DTC brands super-charge their businesses by moving off of spreadsheets, off of basic KPI's, off of manual workloads, and onto advanced AI Data Stacks.
It's a battle-tested methodology that we've developed over the last last 7 years while coaching over 70 brands how to get value out of their data, see their business more clearly, and graduate to their next stage of growth. Elite brands that have transformed from startups into elite brands earning $30, $50, $100M brands by usingi advanced analytics to outsmart their competition.
With Latticework Basic, we’ll lay the mission-critical foundation of an advanced AI Data Stack and help your brand graduate to the next level of its growth and ensure that your team feels empowered to make data driven decisions as your brand grows and evolves.