Support ops, AI agents, and Shopify playbooks

Shopify support playbooks that cut tickets

Practical guides on AI support, WISMO, returns, helpdesk comparisons and the metrics that tell you if automation is working.

266 guides · page 15 of 23

How to Build Customer Loyalty for Your Shopify Brand Without Heavy Discounting
Loyalty programs that rely on discounts train customers to wait for sales. Here's how to build loyalty that doesn't erode your margin.
Read More
First Contact Resolution for Ecommerce
FCR dies when email two asks for a photo you could have requested in email one.
Read More
Shopify Support Cost Per Order
Divide support spend by orders when you want a number finance believes. Tickets hide deflection.
Read More
Best Shopify Customer Service Apps in 2025
From helpdesks to AI agents—which customer service apps actually move the needle for Shopify stores in 2025?
Read More
Ecommerce Cost Per Ticket
Cost per ticket is (people + software + refunds you treat as ops) ÷ tickets. Here is what belongs in the numerator.
Read More
Zendesk AI vs a Shopify-Native AI Agent
Zendesk AI sits on a generalist desk. Native agents sit on the order. That is the whole review.
Read More
Dixa vs Gorgias for Shopify
Dixa sells conversation platforms. Shopify stores buy outcomes. Ask what happens to an unfulfilled cancel at midnight.
Read More
Ecommerce UX Best Practices That Directly Impact Revenue
UX is not about making things pretty. These are the design decisions that move conversion rate, AOV, and repeat purchase for online stores.
Read More
Crisp vs Gorgias for Shopify
Crisp is a lean omnichannel tool. Lean is good until the refund button is still in another tab.
Read More
Help Scout vs Zendesk for Ecommerce
Both are generalists. Ecommerce brands outgrow generalists when WISMO is the job.
Read More
Freshdesk vs Gorgias on Shopify
Freshworks will demo 40 modules. Ask them to refund a test order. The demo usually ends there.
Read More
How to Reduce Shopify Support Tickets Without Hurting CSAT
Tactical playbook for cutting ticket volume by 40–60% using policy clarity, self-serve, and AI resolution—without frustrating customers.
Read More