Calculate Shopify Support ROI

ROI without a baseline month is a vibe.

Sticker price vs what “calculate shopify support roi” actually costs

Minutes removed × loaded hourly rate − software. Use your AHT. Vendor AHT is fan fiction. The number on the pricing page is almost never what hits the card. Seats, billable tickets, AI add-ons, and the humans who still finish the ticket sit in the same month.

A useful unit is cost per resolved Shopify ticket — software + leftover human minutes. Conversations-started is a vanity denominator. If a vendor cannot talk in resolved-without-human, they are selling chat.

Math at three ticket volumes

• At ~400 tickets/month: you are buying nights and WISMO, not a CX platform. A heavy suite is usually ego.
• At ~800: model 50% closed without a human. If the tool cannot do that, you are renting an inbox.
• At ~1600: types matter. Pay for an agent on the typed 70% and a lead on the rest — not 12 identical seats.

Worked sketch: 1,000 tickets × 4 minutes × $25/h loaded ≈ 67 hours. Clear 60% and you bought back ~40 hours. That is the only ROI slide that matters.

The line items vendors skip

• Billable-ticket definitions that still count an 'automated' WISMO.
• Macro maintenance when you change the return window.
• Implementation weeks that are really 'please write the policy you never wrote'.
• QA time. If nobody reads 15 tickets on Monday, you will pay in chargebacks later.

When the spend is worth it

Human touches on this ticket type before vs after the change.

It is worth it when typed tickets are most of the queue and you can write a yes/no rule. It is not worth it if you are buying a logo to look like a bigger company.

What to ask before you pay

• Who clicks refund on a real order — the model or a human?
• What happens when there is no matching policy URL?
• Can I cap by customer tag and currency?
• Where does the transcript live if I leave in 11 months?

Load this rule into Relay and stop solving calculate shopify support roi by hand at midnight.