The Industry Comparison dashboard answers one question: "How is my outlet doing versus everyone else on Papaya?"

Every other dashboard compares you against yourself — last week, last year, your other outlets. This one compares you against the rest of the Papaya merchant base.

Open it when you want to know whether a soft week is your problem or a broader market trend. If the whole industry is down 10% and you're down 8%, you're actually beating the market.

"Industry" here means every outlet on Papaya that did meaningful trade last week — specifically, an outlet whose revenue last week exceeded 5,000 (a low bar designed to exclude testing accounts, paused outlets, and never-launched outlets that would otherwise drag the median to nothing). Outlets failing that bar are not in the cohort.

Comparisons are relative — we compare your week-over-week percentage change against the distribution of every cohort outlet's WoW percentage change, not absolute revenue numbers. A small outlet and a large outlet on similar trajectories will look the same here. This makes the comparison fair regardless of outlet size.

All week boundaries are computed in Asia/Bangkok time.

A gauge showing where your week-over-week revenue change ranks against every other active outlet on Papaya. A reading of 0.85 means you outperformed 85% of outlets last week (you're in the top 15%); 0.20 means 80% of outlets did better than you.

How it's calculated:

Outlets that did less than 5,000 in LW are excluded from the cohort.

A waterfall that decomposes your week-over-week revenue change into two contributors: # orders (volume) and AOV (average ticket size). The bars add up to the total WoW % change.

How it's calculated: we split revenue change into two effects using a symmetric-average decomposition:

So if your revenue grew 20% week-over-week and the chart shows 15% from "# orders" and 5% from "AOV", most of the growth came from selling more cheques.

The same waterfall, but for the entire active-outlet cohort instead of just you. Use it to read the market.

Reading it: if your waterfall is dominated by AOV and the industry's is dominated by orders, the broader market is being driven by traffic while you're being driven by ticket size — useful context for whatever you do next.

A combo chart with the last ~13 weeks on the x-axis. Four lines:

Reading it: when your line is above the median, you outperformed the typical outlet that week. When you're above the top performers' line you're in the top quarter.

How it's calculated: for each of the last ~14 weeks, compute every cohort outlet's WoW revenue change. The percentiles are drawn from that distribution. The "You" line plots your own WoW number on top.

Same chart as above, but the metric is order count rather than revenue.

Same chart, metric is AOV (revenue ÷ orders).

Together with the two above this lets you triangulate: if your revenue is up but the industry's revenue is up more, look at orders and AOV — which lever is the rest of the market pulling that you're not?

There is no date filter — the charts are anchored to the most recent full Bangkok-time week, and the time-series cards show a fixed ~14-week rolling window.