All use cases
Ecommerce

Your AI Ecommerce Analyst

Bring Shopify, Google Analytics, Meta Ads, Google Ads, spreadsheets, fulfillment exports, and support data into one workspace. Build dashboards for merchandising and growth, set watches on revenue or conversion changes, and share stable snapshot views across the team.

Ecommerce teamsMerchandising leadsGrowth teamsOperations teams
Spark — Ecommerce Analytics
Revenue

$312K

+14.7%

AOV

$67

+$4.20

Conv. Rate

3.8%

+0.3pp

Revenue by Category

Top Sources

Shopify
Google Analytics
Meta Ads
Google Ads

0+

data sources in one store view

0%

less time on weekly trading reports

0

source of truth for merchandising

The challenge

Why Ecommerce and Merchandising teams need a better way

Store, inventory, and campaign questions live in different dashboards

Connect store, ad, and support data in one workspace

Teams rebuild weekly trading reports from multiple exports

Save the trading dashboard once and reuse it every week

Revenue changes are hard to explain without channel and product context

Ask cross-source questions that combine product, channel, and customer data

How it works

Four steps from question to dashboard

01

Connect store, analytics, ad, file, and support sources together

02

Ask plain-English questions across product, channel, and customer data

03

Save the dashboards that operators and marketers review every week

04

Set watches on the metrics that should trigger a merchandising decision

What it looks like

See Spark in action

Analyzing data

Revenue by Category

JulAugSepOctNovDec
01

Ask store performance questions

Connect Shopify, GA, and ad platforms. Ask "Which products drove the most margin this month?" naturally.

Weekly Dashboard
Saved

Revenue

$312K

+14.7%

AOV

$67

+$4.20

Trend

Pinned to dashboard
02

Save merchandising dashboards

Pin the product-level performance view and share it with the buying team every week.

Metric Watches

Checkout conversion dropped below 3.5%

Triggered 2h ago — 3.2% on mobile

AOV above $60 target

Last checked 10m ago — $67

Return rate rising on new SKUs

03

Watch conversion and return rates

Set watches on checkout conversion, return rate, or margin shifts. Catch problems before the weekly review.

Revenue by Category
+15% MoM
$118K
Apparel
$82K
Access.
$68K
Home
$44K
Beauty

Insight: Apparel grew 22% driven by new collection launch. Home category margins improved 4pp.

04

Product and channel charts

Spark builds product mix charts, channel comparisons, and cohort performance views.

Start free — no credit card, no setup call.

Start free

Integrations

Connect the tools you already use

Spark connects to databases, SaaS platforms, spreadsheets, and files. Use them all together in the same workspace.

Shopify
Google Analytics
Meta Ads
Google Ads
CSV exports
Google Sheets
Zendesk
Stripe
PostgreSQL
Excel files
BigQuery
30+
more

What teams say

Real results from real teams

70% fasterWeekly trading report

We were stitching Shopify exports and GA data in spreadsheets every week. Now the entire trading report is one Spark dashboard.

RT

Rachel Torres

Head of Ecommerce at Maison Retail

Real-time visibilityProduct + campaign data

The buying team now sees product-level performance alongside campaign data. Merchandising decisions are faster.

TB

Tom Bradley

Merchandising Lead at Northline DTC

Why Spark

Spark vs. traditional approach

Store + campaign data together

Spark AI

Connect Shopify, GA, ads in one query

Traditional

Export from each, merge manually

Product-level dashboards

Spark AI

Save from any answer

Traditional

Build custom reports per tool

Conversion monitoring

Spark AI

Automatic watches with thresholds

Traditional

Check dashboards manually

Share with buying team

Spark AI

Link or embed, no login needed

Traditional

Send spreadsheet attachments

Return and support context

Spark AI

Include Zendesk data in same view

Traditional

Separate system, separate report

Security and trust

Your data stays private and protected

Spark is designed for teams that care about data security. Credentials are encrypted, access is scoped, and shared views never expose raw connection details.

AES-256-GCM encryption

All connection credentials are encrypted at rest using AES-256-GCM with per-record initialization vectors.

Role-based access

Workspace members see only the connections, documents, and dashboards their role allows.

Password-protected links

Shared dashboards and public links can require a password before anyone views the data.

Query transparency

Every AI-generated query is visible and inspectable. Nothing runs without your data sources approving the connection.

Team-scoped workspaces

Each workspace is isolated. Data sources, documents, and dashboards never leak across teams.

Allowed-domain embeds

Embedded dashboards only render on domains you explicitly allow. No unauthorized embedding.

FAQ

Common questions about ecommerce workflows

Answers to the questions teams ask when evaluating whether Spark is the right fit for this workflow.

Ready to unify your store analytics?

Connect your store, ad platforms, and support data. Ask the first merchandising question and share the dashboard with your team.