Scale the work behind every order.
We connect customer support, Shopify product setup and creative production first. Then we add Klaviyo, store checks and search monitoring around the same data and approval flow.
Orders, products and ad results
Replies, pages and creative
The right owner checks the work
Update Reamaze, Shopify or Klaviyo
The target was 1,000 orders a day. Operations had to catch up first.
The owner already had products and winning ads. The bottleneck was turning more products into pages and creative without support falling behind.
Fix support first
Reamaze handles routine order, product and return questions. Refunds and sensitive cases go to the team with full context.
Target: up to 90% routine coverageBuild the Shopify draft
The owner selects a supplier product and drops its photos into a folder. The system prepares the page and launch checklist.
Selected products, no research queueStart with image ads
Current winners provide the hooks and formats. New image ads are prepared for the selected product and sent for review.
Begin at 50 tests a weekAdd the next layers
Video creative, Klaviyo, store checks and search monitoring join the same workflow after the first three jobs are stable.
Expand only after the core worksThe owner already had winning ads, product options and two creative agencies. The problem was throughput: testing more products without creative cost and manual work rising at the same rate.
The 400-to-1,000 target and estimated $55 AOV are planning inputs from the scale brief. They are not claimed HollerLabs results.Built around the work teams already do.
Each system starts with an existing process, its data and the person responsible for the final decision.
Each card opens the company or product website in a new tab.
Start with the three jobs that block scale.
Support, Shopify product setup and creative come first. Klaviyo, store checks and search monitoring join after the core flow works.
Keep support quality steady as order volume grows.
Reply quality drops when the queue keeps growing. We connect Reamaze to your order data, product details and brand rules so routine questions get a fast, useful answer.
- Order status, product questions and common return requests
- Human handover for refunds, complaints and unusual cases
- Conversation history saved so approved answers can be reused
- 01New customer message
The system reads the ticket and finds the customer.
- 02Check the facts
It reads the order, product details and return rules.
- 03Write a useful reply
The answer uses the right details and your brand voice.
- 04Send or hand it over
Routine replies can send. Sensitive cases go to your team.
See the data, decisions and approval points.
The walkthrough follows the work from the first signal to the final team action.
One reliable workflow before a bigger system.
We begin with the job creating the most pressure. Your team tests it on real work, reviews the edge cases and decides when the next workflow should be added.
Get your growth auditMap one real process
We document the inputs, rules, owner and failure cases before we build.
Build inside your stack
The work stays in Shopify, Klaviyo, Reamaze, Meta, Google and Slack.
Prove it with your team
Your team tests the workflow and keeps sensitive actions behind approval.
Start with the bottleneck closest to revenue.
For most Shopify brands, that is support, product setup or creative production.
What do you build first?
Most brands begin with customer support, Shopify product setup or creative production. We choose the job creating the biggest bottleneck and make that workflow reliable before adding another one.
Can you automate customer support in Reamaze?
Yes. The system can answer routine order, product and return questions using your real data and brand rules. Refunds, angry customers and unusual cases go to a person with the full conversation attached.
Will it send emails or change ad budgets on its own?
You set the rules. Routine support replies can run on their own if you want. Campaigns, budget changes and website edits can stay behind approval.
How do we start?
Show us one job your team repeats every week. We map the data, rules and approvals, then build the first working version inside your existing stack.
Show us the work your team is tired of doing by hand.
We will map the job, the tools and the approvals. If it makes sense, we build the first working system.
Get your growth audit