Laplace pulls your ad, order, customer and SKU data together automatically, then shows contribution profit, ROAS and retention in one view. Its AI Agent explains what changed and what to do next.
Free for up to 3 weeks · No credit card · All paid features
- Creatives A, B and C converted worse than the week before
- Creative D is up, so it's a good place to shift budget
- Creative C may also be hurt by low stock on its linked product
Laplace by the numbers
Counts as of this release.
Connect, map, analyze, ask, alert. One platform, end to end.
Connect by API or spreadsheet, and data syncs daily
From scattered data to your next move.
Collecting data is only step one. Laplace maps it, analyzes it and hands you something you can act on.
ConnectConnect storefronts, ad platforms and analytics tools. Data arrives daily by API or spreadsheet.
Usually live in 2–3 hoursJust ask. Get the cause and the next step in one answer.
Laplace's AI runs on an ontology: a map of how your orders, ads, products and customers relate. Because it understands that business context, it goes past lookups to explain why numbers moved and what to do next.
- Creatives A, B and C converted worse than the week before
- Creative D is up, so it's a good place to shift budget
- Creative C may also be hurt by low stock on its linked product
- Ask and get answers instantly
- Type a question and Laplace queries your connected data on the spot.
- Automatic anomaly detection
- Laplace spots significant changes and outliers on its own and alerts you.
- Root causes and next steps
- Laplace traces why a number moved (say, why conversion fell vs last month) and proposes concrete next steps.
- Charts and reports, generated
- Every answer comes with a chart and a report you can share.
- Related charts and follow-ups
- Relevant charts and follow-up questions appear automatically.
- Works in Claude and ChatGPT
- Connect through MCP and ask Laplace from your AI chat tool.
Laplace knows how your business fits together.
Orders, ads, products and customers are linked with defined relationships and meaning, so the AI works from your actual business structure and hallucinates less. Select a data type below to see how it connects.
- 1
Option ↔ Base product (SKU)
Options named differently on each storefront roll up to one base product (SKU), so the same item is never counted twice.
- 2
Ad creative ↔ Product
Each creative is attributed to the products it sold, so you get ad spend and ROAS per product.
- 3
Base product ↔ COGS & fees
Every SKU carries its COGS and per-channel fees, so contribution profit updates as products sell.
- 4
Order ↔ Customer
Orders from different channels are matched to the same person, so first-purchase and repeat metrics stay accurate.
- 5
Inventory ↔ Sales velocity
Stock levels are tied to sales velocity to forecast stockout dates and suggest pulling back ads on at-risk products.
- Defined meaning lets KPIs calculate automatically
- The AI Agent answers from the same structure
- New data sources follow the same rules once connected
Your dashboard, built your way.
Start from a template and your dashboard is ready. Choose from 12 chart types, including line, bar, column and pie, plus 3 table types: list, snapshot and pivot. Try it below.
Six analysis types, ready out of the box.
Break metrics down by time, channel or product, from one data source or several.
Know what you keep, not just what you sell.
Growing revenue means little if the margin isn't there. Laplace applies COGS, fees and ad spend to calculate contribution profit for every SKU, automatically.
BEP ROAS · POAS · ROAS
Compare break-even ROAS with actual ROAS to decide whether to scale or cut ad spend.
Contribution profit by SKU, every day
See which products actually drive profit, and use that to steer your ad strategy.
Ad creative ↔ product attribution
See which creative sold which product, down to the SKU.
COGS rate and margin by SKU
Check COGS rate and margin for every SKU, even as costs change.
Know your customers across every channel.
Repeat purchase rate, LTV, churn risk and ready-to-export CRM lists, all accurate because Laplace recognizes the same customer across channels.
Cohort analysis
for retention and LTV.
See exactly what share of customers come back after their first order. Compare retention, LTV and churn by product, channel and period.
- Monthly, product and channel cohorts
- Repurchase cycle and subscription retention
- Export the customers in any cohort cell
Compare how long customers keep coming back, grouped by the month of their first order.
- Total orders
- 7
- Channels
- 3
- First purchase
- 2025-03-12
- Status
- Repeat buyer
Separate channel records merged into one · PII masked · Sample
The same customer on every channel,
counted once.
Laplace links purchase history from Shopify, Amazon and your own store to recognize the same customer as one person. You get a true customer count and accurate first-purchase and repeat metrics.
- True, deduplicated customer count
- Cross-channel purchase tracking
- Accurate first-purchase and repeat revenue
Target only the customers
who haven't converted yet.
Filter by product, then export non-buyers and lapsed customers as a ready-to-use CRM or retargeting list. Combine RFM and segment conditions to narrow your audience.
- Sign-ups with no purchase and one-time buyers
- Combined RFM and segment conditions
- PII is masked
Connect every channel without code.
Connect storefronts, ad platforms and analytics tools by API or file upload. Data syncs automatically every day.
Don't see your channel? Connect it through a Google Sheets upload, a direct API push or Amazon S3. Enterprise plans add custom connectors and data warehouse integrations (Snowflake, BigQuery, Redshift).
Reports and alerts in Slack, set up in minutes.
Set up scheduled reports, metric alerts and anomaly alerts in a 4-step wizard. Conditions are checked before you save, and you can review delivery history (sent, partial, failed) at any time.
- 1Name & type
- 2Target metric
- 3Condition
- 4Recipients
LaplaceAPP9:00 AMAsk Laplace from Claude, ChatGPT or Perplexity.
Connect Laplace to Claude, ChatGPT or Perplexity through MCP. Ask about your saved dashboards and metrics in chat, with the same permissions you have in the product.
- Product 1 sells steadily without heavy ad spend
- Products 4 and 5 have high ad spend ratios
- Pull up your saved Custom Dashboards and charts in chat
- Get metrics like repeat purchase rate and contribution margin, named exactly as in the Laplace app
- Search the product guide and get answers from it
- See data change history and create restore points
- Your project permissions apply, so answers stay within your access
- How to connect
For enterprise teams, with a data setup built around you.
Bring data from Snowflake, BigQuery, Looker and other warehouses into Laplace alongside influencer and inventory data. The Laplace AI Agent analyzes it all automatically, with charts, anomaly detection and root-cause diagnosis in real time.
Analyzes all your data
on one shared ontology
- Data warehouse and BI integrations
- Influencer, SKU and inventory data in one place
- Automatic anomaly detection and root-cause diagnosis
Frequently asked questions
Still have questions? Contact us and we'll help you find the right setup for your business.
Contact usGA4 and Google Ads each report only their own data, while Laplace Analytics combines ad platforms, storefronts and data warehouses so you can see ad, order and customer data in one view. Laplace deduplicates customers across channels and attributes conversions precisely, so you see which channel actually drove revenue, plus the true ROAS and LTV that single-channel tools can't measure.
Yes. Laplace Analytics is built so you can ask the AI Agent a question in plain language, with no code, and get the analysis back automatically. Marketers, operators and executives can start using it right away, without separate training.
Everything on a paid plan. The Laplace 3-week free trial gives you full access to every feature, including data connections, Custom Dashboards, AI Agent questions and cohort analysis. You won't be charged when the trial ends unless you enter payment details.
The first sync usually finishes within 2–3 hours, depending on data volume. Laplace connects to your store through an API or a spreadsheet upload and collects data automatically. After the first sync, Laplace refreshes your data every day with no manual work.
It means the Laplace AI Agent checks your connected data after every daily sync and flags anomalies or significant changes without waiting for a question. It also traces causes, such as why conversion rate fell vs last month, and proposes concrete next steps. This works because Laplace's ontology defines how your orders, ads, products and customers relate, giving the AI business context before it analyzes.
Yes, for now. Laplace Analytics is built for ecommerce: D2C brands, online sellers and multichannel retailers selling on Shopify, Amazon, Shopline, Qoo10 and similar platforms. Support for subscription and app businesses is planned for future releases.
Let Laplace handle the analysis.
You focus on strategy.
Try Laplace free for up to 3 weeks, with every feature included.