AI Data Analyst
for E-Commerce
Instant answers on sales, inventory, customer LTV, and cart abandonment — without exporting CSVs or waiting on a data team.
Every e-commerce question, answered instantly.
From cart abandonment to inventory turnover — ask in plain English and get the answer before your next standup.
A live view of your store performance
Stop switching between your store dashboard, ad platform, and email tool to understand what's working. Ask Sequel for a unified view of revenue, AOV, and conversion — across every channel and category.
- Revenue and AOV trends by day, week, or custom period
- Channel attribution from first click to purchase
- Category and SKU-level performance in seconds
Find your best customers and keep them
Understand which customers are most valuable, how often they buy, and what they purchase together. Use that insight to build retention programs that actually work — and acquisition campaigns that target the right buyers.
- Segment customers by LTV, frequency, and recency (RFM)
- Identify which channels bring your highest-value buyers
- Measure repeat purchase rate and time-between-orders by cohort
Built for e-commerce teams
Sales Performance Analytics
Track revenue, AOV, and order volume by day, week, or month — broken down by category, channel, or region in a single question.
Cart Abandonment Analysis
Understand where shoppers drop off in your checkout flow, by device, traffic source, and cart value — and prioritize the fixes that matter.
Conversion Funnel Views
See your full funnel from visit to purchase with step-by-step conversion rates and drop-off analysis across segments.
Inventory Management Insights
Ask which SKUs are running low, track inventory turnover ratios, and identify overstocked items before they become a problem.
Product Performance
Rank products by revenue, margin, return rate, and review score — and find your hidden bestsellers and underperformers instantly.
Customer LTV Analysis
Segment customers by lifetime value, purchase frequency, and recency — then identify which acquisition channels bring your highest-value buyers.
Repeat Purchase Tracking
Measure repeat purchase rates, average days between orders, and cohort-level retention to optimize your customer lifecycle.
Promotion ROI
See which discount codes, promotions, and campaigns drive the most incremental revenue — and which ones just eat into margins.
Frequently asked questions
Can Sequel connect directly to Shopify or WooCommerce?
Sequel connects to the database or warehouse where your store data lives. If you sync Shopify or WooCommerce data to a Postgres, MySQL, or data warehouse via an ETL tool like Fivetran, Stitch, or Airbyte, Sequel can query it. Many e-commerce teams already have this pipeline in place — Sequel plugs into the destination, not the source platform.
How do we analyze data from multiple stores or storefronts?
If your stores share a data warehouse or database, Sequel can query across all of them in a single question. You can compare store performance, consolidate inventory views, or segment customers by origin store without building separate reports for each storefront.
Our inventory data changes constantly — how current are Sequel's results?
Sequel queries your database in real time, so results reflect whatever is currently in your data store. If your inventory syncs every 15 minutes, Sequel's answers are accurate to that sync window. For truly real-time queries, point Sequel at your live operational database rather than a batched warehouse.
Can Sequel identify which customer segments are actually profitable?
Yes. Ask Sequel to calculate gross margin by customer segment, cohort, or acquisition channel — factoring in order value, return rates, and discount usage. This lets you identify which segments drive the most margin (not just revenue) and adjust your acquisition and retention spend accordingly.
What data does Sequel need to calculate accurate customer LTV?
LTV calculations need order history (amount, date, customer ID), customer records, and ideally acquisition source. With those, Sequel can compute average order value, purchase frequency, average customer lifespan, and LTV by cohort or channel — all in one question. The richer your order and customer data, the more granular the analysis.
Can Sequel help reduce cart abandonment rates specifically?
Sequel can show you where shoppers drop off in your checkout flow, segmented by device type, traffic source, and cart value. It can also compare abandonment rates before and after checkout changes, highlight high-value abandoned carts, and identify which SKU combinations are most often abandoned together — giving you the data to prioritize exactly where to focus recovery efforts.
Can we track the impact of promotions and discounts on margins?
Yes. Ask Sequel to compare AOV, margin, and revenue during promotion periods against baseline. You can break down coupon performance by code, campaign, and customer segment to see which promotions drive incremental revenue and which ones are pure margin erosion — so you can optimize future campaigns.
Your store data, finally working for you
Connect your e-commerce data and ask your first question in under two minutes.