How to use the live shopping conversion calculator
The number that most often goes wrong in live shopping reporting is the denominator. For the same stream, dividing by unique viewers (deduplicated across the whole broadcast) gives a low conversion rate, while dividing by peak concurrent viewers gives a much higher one, because cumulative viewers usually run several times the peak. So this calculator makes you pick the basis and then prints that choice inside every result label. When comparing against someone else's numbers, check which basis they used first.
Enter the view → cart → purchase steps together and the blockage becomes visible. A healthy add-to-cart rate with weak cart-to-purchase movement points at price, shipping or checkout rather than at the product pitch. Add stream revenue and you also get revenue per viewer and average order value.
Normal ranges move too much with category, price point and how traffic arrives, so no benchmark is built in. Comparing stream-over-stream on one consistent basis is the reliable read. On a peak-concurrent basis, orders can exceed viewers, so figures above 100% are legitimate there.
Frequently asked questions
Unique viewers is the honest basis for actual purchase efficiency. Peak concurrent is easy to pull from platform reports and works for comparing one stream to the next. Just never mix the two in one report.
Including a fixed post-stream window is common, but the window has to be identical every time for the comparison to hold. This calculator takes one order figure, so settle the counting rule before you use it.