Customers
Built for every DTC brand. Not for the data team you don't have.
Velur is designed for the operators actually running the business, founders, heads of growth, marketing leads. Small or mid-size, you get a complete revenue intelligence layer without standing up a data warehouse or hiring an analyst.
Who Velur is for
Every DTC and subscription brand, from launch to mid-market.
Small DTC
€100k to €1M ARR
You've outgrown Shopify's native reports but you can't justify a data hire. Velur replaces the spreadsheet pile and gives you one place to read revenue every morning.
Growing DTC
€1M to €10M ARR
You're running Shopify + Klaviyo + paid social and you've lost the thread of which channel is actually paying for itself. Velur reconciles them onto one timeline so the answer is obvious before your standup.
Mid-market
€10M to €50M ARR
You have an analyst (or three) and they're drowning in dashboard requests. Velur becomes the source of truth they query against, and the daily brief that frees them up to do real analysis.
What you don't need
No engineering team. No data science team. No warehouse.
Most analytics products assume you already have the infrastructure to run them. Velur assumes you don't, and ships everything in the box.
- OAuth into Shopify, Klaviyo, your ad accounts, Stripe, Recharge. Minutes, not weeks.
- Velur backfills 90 days of history on its own infrastructure.
- Data modelling, normalisation, and the intelligence layer ship with the product.
- Daily revenue brief written for the person making decisions, not for the analyst.
- You don't need BigQuery, Snowflake, dbt, Fivetran, or a warehouse subscription.
- You don't need a data engineer to maintain pipelines.
- You don't need a BI tool license per seat, the brief comes to you.
Why a complete layer beats AI chatbots
AI chatbots answer questions. A revenue intelligence layer changes how you operate.
The current crop of "AI for DTC" tools is mostly a chat interface bolted onto whatever shallow data the integration could grab. They look useful in a demo and fall apart in operations. Here's what you actually get with Velur instead.
Where does the data live?
Whatever the chatbot scraped at session start, usually a partial view of one or two platforms, refreshed inconsistently.
A modelled, reconciled timeline of every revenue source. Backfilled, version-controlled, queryable.
How honest are the numbers?
Self-reported by each platform (Meta says it drove X, Google says it drove X, you can't trust either alone).
Blended ROAS as ground truth + channel ROAS with context. When platforms disagree, we flag the gap and explain why.
What does the morning look like?
You log in, prompt, re-prompt, then paste the answer into Slack. Most days nobody opens it.
One paragraph in your inbox at 8am: what moved, why, what to ship today. Two recommendations, three numbers.
What about cohorts and LTV?
Usually surface-level, average order value, top customers. Nothing about which acquisition channel pays back.
Behavioural cohorts modelled by first product, channel, and price point. 12-month LTV per segment with confidence intervals.
Can a non-technical operator use it?
Only if they know how to prompt it. Output quality is bounded by the user's question.
Output is written for the operator. The intelligence comes to you, no prompt-engineering required.
What happens if you cancel?
Conversation history gone, integrations disconnected, nothing to take with you.
Every SQL model, every dashboard, every score function in your repo, under your name, from day one. Cancel anytime, nothing breaks, nothing disappears.
Ready to read revenue clearly
Velur is for operators who'd rather read one good brief than poke at ten dashboards.
Join the waitlist and we'll reach out personally when the next seat opens. No automated drip, no sales funnel, just a conversation about what you're running.
Join the waitlist