Agencies manage merchandising across client stores by standardizing on reusable sorting recipes instead of store-by-store manual work. A recipe (for example, sales velocity weighted with inventory and margin) encodes the strategy once and can be recreated on each client store, tuned to that catalog. Automated re-sorting keeps every store current, and collection analytics give the agency something concrete to report each month.
Why do repeatable recipes beat bespoke setups?
Most client stores want the same outcomes: best sellers visible, sold-out products pushed down, new arrivals surfaced, sale collections clearing stock. Build a small library of named recipes for those goals and recreate them per store, adjusting weights for catalog size and turnover. Onboarding a new client becomes configuration rather than invention, and a junior team member can do it from a checklist instead of relearning every store from scratch.
How do you report merchandising to clients?
Sorting work is invisible unless you measure it. Collection analytics give you client-ready numbers:
- Collection conversion rate before and after a recipe change.
- Collection view rate to show which categories actually pull traffic.
- Position effectiveness to show the winners you rescued from page three.
For higher-tier clients, A/B testing one recipe against another turns “we re-sorted your collections” into a measured result you can defend on a monthly call.
What stays custom per client?
Brand curation. Pins hold each client’s hero products and campaign features in place while the recipe sorts everything else around them. The strategy layer stays bespoke; the machinery underneath is shared. That split is what lets one team carry many stores without service quality slipping.
Dynasort fits this workflow. Install it from the Shopify App Store or see how it works.