We've helped brands scale 10x.
Yours is next.
JS Data & Media Consults is the human layer between your data and your growth: we turn omnichannel measurement chaos into one trusted, owned, decision-grade number system. The tech is modern — pipelines, warehouses, AI — but the core is human: expertise, advisory, and strategy from operators who've helped multiple brands scale 10x. More than a product, a true resource — for growth teams, marketing, and the CFO alike. Tailored, never templated.
| channel | net_revenue | vs_goal |
|---|---|---|
| shopify | $431,092 | +9.4% |
| amazon | $214,538 | +4.1% |
| target | $96,205 | −2.3% |
| walmart | $61,884 | +5.0% |
One view
DTC and retail, one holistic view of your metrics
Off-the-shelf dashboards force your business into their template. We model yours the way it actually runs — your metric definitions, your goals, your channel rules — and bring DTC, marketplace, and retail together into a single view.
AI enablement
A semantic layer that makes AI accurate
Connected to tools like Claude, grounded in your warehouse — so every answer matches your reporting. The AI is the interface; the judgment behind it is human.
AI tools can now sit directly on your warehouse — but without context they guess: wrong metric definitions, mixed-up channels, confident answers that don't match your reports. We build the semantic layer that fixes it: documented metric definitions, channel rules, canonical queries, and guardrails, wired into tools like Claude.
Then anyone on your team can ask a question in plain English and get the same numbers your weekly reporting shows — in seconds, not in a ticket to an analyst. And yes, we use Claude constantly ourselves — that's the point. You're not choosing between experts and AI. You're choosing between AI that guesses and AI that's grounded.
Why warehouse-first AI answers faster and costs less
Anyone can point an AI chatbot at app data. The speed and the economics only work when the heavy lifting happens inside your warehouse.
Templated models count gifted influencer orders as new customers — quietly deflating CAC and dragging down cohort retention. We separate gifting from true acquisition, so CAC means what you think it means.
A bundle sold is demand for its components. Exploding bundles down to component SKUs is our standard — true product velocity for planning, purchasing, and margin.
Services
What we do
Seven offerings with one common core: every engagement comes with human expertise, advisory, and strategy — not just software.
Warehouse pipelines
Automated, monitored syncs from Shopify and your sales channels into Redshift, BigQuery, or Snowflake. Orders, customers, products, discounts — landed and modeled into clean, analysis-ready tables your team can actually query. Selling on TikTok? See our managed TikTok Shop pipeline.
Retail & marketplace data
Amazon, Target, Walmart, Sam's Club, Costco — sell-in shipments and sell-out POS, side by side, with marketplace feeds and retailer portals unified against your DTC numbers. Sell-through on every shelf, in one report.
Reporting, goals & forecasting
Weekly and monthly reporting on a reliable cadence: goals set with you and paced in-flight, period comparisons, and forecasts built from numbers everyone trusts — from the growth team to the CFO.
Demand planning
Unit-level forecasts that connect sales velocity to inventory: how much to order, where to send it, and when — so you catch the stockout and the overstock before they happen, across DTC and retail. One bad purchase order costs more than a year of good data.
Media & influencer measurement
Meta, Google, and TikTok spend — plus influencer and creator campaigns — tied back to what actually sold. Attribution, conversion and AOV trends, and GA4 in one consistent view of return your marketing team can actually act on.
Custom data & integrations
If it has an API, a portal, or an export, we can pipe it: 3PL and inventory feeds, subscriptions, wholesale spreadsheets, survey tools — modeled alongside everything else instead of living in a silo.
Advisory & strategy
Right-sizing infrastructure and costs, schema design, data quality, and vendor decisions — plus a seat at the table for goals, budgets, and what's next. We've been the data partner to growth teams, marketing leads, and CFOs alike.
Approach
How engagements work
Experience from multiple 10x scale-ups, applied fresh to how your business runs — no recycled playbooks, and everything ships in plain Python and SQL you keep.
Map
An audit of your store, marketplaces, retail portals, ad accounts, analytics, and current reporting. We agree on the metrics — and the goals — that matter, and where today's numbers fall short.
Build
The pipeline and data models stand up in your warehouse — validated line-by-line against your source systems before anyone relies on them.
Operate
Automated syncs, scheduled reporting, and ongoing support as new questions, channels, and sales platforms appear.
The human layer
Tools stop at 70%. We build the rest.
Out-of-the-box analytics gets a typical client roughly right. Scaling takes more: people who've done it before, reading your data, steering your growth, and tailoring every model to how your business actually runs.
We've spent years inside fast-growing consumer brands — helping multiple businesses scale 10x by connecting every corner of the operation: DTC, marketplace, retail, media, inventory, planning. Not as distant advisors, but as the operators building the numbers the whole company ran on — growth teams planning the quarter, marketing tuning spend, CFOs closing the books.
That experience is the product. Every engagement starts from how your business works and where you want to take it — then the pipelines, models, reporting, and AI layers are built to fit. You own all of it: plain Python and SQL, running in your infrastructure, no black boxes, no lock-in, no handoffs. The person you talk to is the person building your stack — more than a product, a resource you can call when the next decision matters. It's the stack your future data hire will thank you for — and if we vanished tomorrow, all of it keeps working. That's what owning your stack means.
Contact
Let's look at your data together.
Start with a two-week audit: we'll map your store, channels, ad accounts, and current reporting — then show you, with your own numbers, exactly what a trusted data stack is worth to your business. The findings are yours either way.
Start with an auditPrefer to write directly? jon@jsdata.ai