JSData & Media Start a project
Tailored, never templated

We've helped brands scale 10x.
Yours is next.

JS Data & Media Consults is the human layer between your data and your growth. 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.

jsdata / pipeline synced
Data sources
Shopify · Amazon · Retail · Ads · GA4
Pipeline
automated syncs · validated loads
Your warehouse
Redshift · BigQuery · Snowflake
Semantic layer
metrics · goals · channel rules
AI tools
Claude — plain-English answers
BI & dashboards
weekly scorecards · reports · pacing
revenue_by_channel — sample output
channelnet_revenuevs_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.

DTC + marketplace
Shopify
Amazon
TikTok Shop
Meta · Google · TikTok Ads
GA4
Retailsell-in · sell-out
Target
Walmart
Sam's Club · Costco
your_business / logic modeled
defsYour metric definitions — net revenue, AOV, LTV, written down once
goalsYour goals — monthly and channel targets, paced while the month is live
chanYour channel rules — DTC, marketplace, and retail, normalized
skusYour SKUs — bundles and packs mapped down to components
runs in your warehouse — Redshift · BigQuery · Snowflake
Weekly scorecard
every channel · one page
Goal pacing
net_revenue — aug 1–23$2.41M / $3.10M
Demand plan
8.2 weeks of cover · reorder by sep 2
Ask Claude
plain-English answers · grounded

Services

What we do

Seven offerings with one common core: every engagement comes with human expertise, advisory, and strategy — not just software.

Pipelines

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.

Retail

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

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.

Planning

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.

Media

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

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

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.

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.

jsdata / semantic_layer context loaded
Your team
How did last week pace against goal?
Claude
Last week closed at $803,719 net revenue — +6.1% ahead of goal. Shopify led at +9.4%; Target finished −2.3% behind. Same numbers as Monday's report.
grounded_in: metric definitions · channel rules · canonical queries

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.

01

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.

02

Build

The pipeline and data models stand up in your warehouse — validated line-by-line against your source systems before anyone relies on them.

03

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.

template vs. tailored your call
Out-of-the-box SaaS
Same dashboards for every client
Their metric definitions, not yours
About 70% right, for most businesses
JS Data & Media — built for you
Modeled on your channels, SKUs, and goals
Tuned by operators who've scaled brands 10x
Right where it counts: your business
The toolbox
Shopify Amazon Target Walmart Sam's Club Costco TikTok Shop Redshift BigQuery Snowflake GA4 Meta Ads Google Ads TikTok Ads Python SQL Claude MCP

Contact

Let's look at your data together.

Tell us where you are and where you're trying to go. We'll come back with a concrete plan — what to pipe, where to put it, and what you'll see every week — shaped by experience scaling brands like yours.

Email jon@jsdata.ai

Prefer to write directly? jon@jsdata.ai