Riferimento di AftersellQL (AQL)

SELECT    <metrics>                    -- what to measure (required)
WHERE     <filters>                    -- narrow the data
GROUP BY  <dimensions>                 -- break the numbers down
SINCE     <time range>                 -- the period to cover (required)
GRAIN     <time grain>                 -- bucket size for time series
COMPARE   <comparison>                 -- compare against another period
CHART     <visualization>              -- how to display the result
TIMEZONE  "<timezone>"                 -- timezone for date buckets
ORDER BY  <field> <direction>          -- sort the results
LIMIT     <number>                     -- cap the number of rows

SELECT revenue, accept_rate
GROUP BY date
SINCE last_30d
GRAIN day

SELECT revenue
WHERE device = "mobile"
GROUP BY date
SINCE last_month
GRAIN day

WHERE surface IN ["PPU", "Checkout"]

-- A four-day sale vs the four days immediately before it
SELECT revenue, impressions, accept_rate
GROUP BY date
SINCE 2026-07-02 UNTIL 2026-07-05
GRAIN day
COMPARE previous_period

-- Placement funnel: conversion drop-off across placements
SELECT conversions
GROUP BY placement
SINCE last_30d
CHART funnel_chart

-- Metric funnel: impressions to conversions drop-off
SELECT impressions, conversions
SINCE last_30d
CHART funnel_chart

-- Top 20 products by upsell revenue this month
SELECT revenue, conversions, avg_conversion_value
GROUP BY product
SINCE this_month
ORDER BY revenue DESC
LIMIT 20

-- Daily performance vs the previous period
SELECT revenue, impressions, conversions, accept_rate
GROUP BY date
SINCE last_30d
GRAIN day
COMPARE previous_period

-- Mobile vs desktop revenue over the last 90 days
SELECT revenue
GROUP BY device
SINCE last_90d
ORDER BY revenue DESC

-- Which surface is driving the most revenue?
SELECT revenue, impressions, accept_rate
GROUP BY surface
SINCE last_30d
ORDER BY revenue DESC

SELECT ...
CHART ...
TIMEZONE "Asia/Tokyo"
ORDER BY ...