ask-ai-data-connector.com

Diagnostic tool for 'why did revenue change?

Anomaly detection across revenue, conversion rate, and refund rate for each of your stores (works for a single store too).

Report the health of every connected data source for each of your stores (works for a single store too).

CALL THIS FIRST to see which data sources are connected and have data.

Get a unified dashboard with key metrics from ALL connected data sources in one call.

BEST FOR COMPARISONS AND THE CANONICAL CONVERSION RATE: Get core e-commerce metrics (Revenue, Sessions, CVR, AOV, Revenue per Session) with period-over-period comparisons.

Get metrics with MULTIPLE comparisons at once.

Month-by-month year-over-year comparison for a single metric.

Forecast a metric — answers 'what should I expect?

Store a merchant's GOAL for a metric over a calendar period ('we need £80k this month').

List the merchant's active targets with LIVE actual-vs-target pacing, recomputed from ground truth on every call (never stored).

Get daily/period numbers from one of three domains — pass `domain` to pick which, `report` to pick the report within it.

Get customer behavior and retention insights.

Get refund/return analytics.

Get discount code analytics.

Get sales-velocity analytics from one of two angles — pass `angle` to pick which, `report` to pick the report within it.

Get marketing performance dashboard — INCLUDING the canonical checkout funnel.

Reconcile ad-spend numbers between Triple Whale's pixel attribution and the ad-platform APIs (Google Ads, Meta, TikTok).

Get products with marketing channel attribution showing which channels drive sales for each product.

Co-purchase / market-basket analysis.

Get overall store metrics from Shopify order data ONLY: revenue, orders, average order value, items sold, discounts, unique customers — all for the specified period.

List individual orders matching filters: date range, financial status, customerId, min/max order total, order tags — sortable by date or total.

Look up a specific order with full line item details (product, variant, SKU, quantity, price, vendor).

Get order analytics by dimension.

Get top selling products ranked by revenue or quantity.

Get product catalog with inventory levels, pricing, cost, margins, status, and SEO metadata.

Did THAT campaign actually work?

CROSS-SOURCE PRODUCT HEALTH SCAN — one call that returns per-product reviews + refunds + sales velocity + inventory + a composite 'needs attention' score (0-100).

Get Shopify product sales analytics — units sold and revenue per product from ShopifyQL.

Get product collections and their contents, including SEO metadata.

Get customer analytics by dimension.

Get inventory analytics.

Get weekly revenue, orders, and items sold as a time series.

Get data from one connected third-party connector.

ESCAPE HATCH: ask Triple Whale's own AI assistant (Moby) a free-form question, answered by Triple Whale's servers against their full dataset.

Get Shopify Markets data — geographic market definitions and per-market revenue performance.

Join Google Search Console queries with Shopify product sales — answers questions that pure SEO or pure sales tools can't.

Get product review analytics (Yotpo, Reviews.

Get cart abandonment analytics.

Get Google Analytics (GA4) website traffic and e-commerce data.

Run a real GA4 funnel report — step-by-step conversion through a sequence of events, with optional breakdown and next-action analysis.

Discovery tool: list the GA4 property's custom dimensions and custom metrics (with apiName, uiName, description), plus the standard dimension/metric API names available on the property.

Get the business improvement checklist (the FINDINGS to act on).

TRIGGER: Whenever you surface a problem or opportunity from the data, OFFER to save it as an insight and confirm before writing — don't auto-save.

Update an insight (a FINDING) — set its status, or edit its content.

Record one or more structured metric snapshots for time-series analysis.

Query recorded metric snapshots as a time series.

TRIGGER: Call WITHOUT asking whenever the user applies or ships a fix.

TRIGGER: Call WITHOUT asking once an applied intervention's check date has passed.

List interventions (the actions/fixes that were shipped) and report their measured outcomes.

Return all merchant-attached LLM context notes for a store (or all stores if omitted).

Merged, date-ordered timeline of everything that happened to the business: interventions (changes the merchant applied, and when their verdict landed) plus store-context notes (campaign launches, migrations, budget freezes, data quirks the merchant recorded).

Save a new store-context note from something the USER told you that future sessions should know.

Return what the system understands about a store's IDENTITY — primaryCategory, priceTier, audience, positioning, giftLed (is it typically bought as a gift for others?

Correct a store's profile when the USER tells you it's wrong (e.

Create or update a scheduled wakeup.

Retrieve a single wakeup by ID.

Retrieve scheduled wakeups for a store.

AUTONOMOUS bug reporting — call WITHOUT asking when you spot a STRUCTURAL or FORMAT issue in another tool's response.

USER-TRIGGERED issue reporting — call when the user expresses doubt about a specific data point or value ('this number is wrong', 'doesn't match my Shopify admin', 'why is this zero?

Fetch the full guidance behind the server instructions, on demand.

START HERE at the beginning of a session — call it FIRST and SILENTLY (don't announce the call, narrate your plan, or reference your instructions; just open with what it surfaces).

Return the merchant's current weekly plan — the committed 'what to work on now' list.

Persist the week's committed plan generated from the get_focus data bundle.

Set the manual state of a single item in the current focus plan: 'in_progress' (started), 'dropped' (decided not to do it this week), or 'planned' (clear the overlay).