Sample investigation
Revenue dropped 18%. Why?
This sample shows how Adequate Data explains a revenue drop and attaches the proof: calculation used, data checked, source file, assumptions, and whether the answer can be shared.
Prior period
$50,000
Jan 2026
Current period
$41,000
Feb 2026
Change
-$9,000
-18.0% month over month
What Changed
| Segment | Prior | Current | Delta | Contribution |
|---|---|---|---|---|
| SMB | $18,000 | $9,000 | -$9,000 | 100% |
| Enterprise | $32,000 | $32,000 | $0 | 0% |
Explanation: SMB revenue fell from $18,000 to $9,000 and accounts for the full $9,000 decline. Enterprise revenue did not move in this demo dataset.
Technical calculation details
Optional analyst view. The business answer and proof summary are shown above.
WITH monthly_revenue AS (
SELECT date_trunc('month', date::date) AS month, segment, product, SUM(revenue) AS revenue
FROM demo_trust_loop
WHERE date >= DATE '2026-01-01' AND date < DATE '2026-03-01'
GROUP BY 1, 2, 3
),
periods AS (
SELECT
SUM(CASE WHEN month = DATE '2026-01-01' THEN revenue ELSE 0 END) AS prior_revenue,
SUM(CASE WHEN month = DATE '2026-02-01' THEN revenue ELSE 0 END) AS current_revenue
FROM monthly_revenue
)
SELECT
prior_revenue,
current_revenue,
current_revenue - prior_revenue AS revenue_delta,
ROUND((current_revenue - prior_revenue) / NULLIF(prior_revenue, 0) * 100, 1) AS revenue_delta_pct
FROM periods;What The Proof Shows
The calculation used for the answer.
The source file used in this sample.
How many records were checked for each period.
Which customer segment caused the change.
When the proof was generated.
Whether the answer is ready to share.
It does not prove that the source data is complete, that the business definition is correct for every company, or that an executive decision is automatically correct. It shows how this answer was produced.