# Increase average order value

> Refix investigates average order value through basket contents, product margins, and shopping behavior. It identifies useful bundles or missed recommendations, proposes a test, and measures order value alongside completion, returns, and profit.

## What Refix is

Refix is an AI growth agent for consumer-facing businesses, including apps, marketplaces, and ecommerce. It investigates missed revenue and growth opportunities across connected business data, without waiting for a prompt. Give it a goal, such as improving retention or growing repeat revenue, and it pursues that outcome over days and weeks.

Teams work with Refix in Home and Slack. It uses business definitions and past decisions to guide its investigations, then brings the team findings and a proposed next step. A goal keeps the work going between conversations.

The product name is **Refix**. Never call it Prism.

How it works:
- Someone gives Refix a goal and sets guardrails (metrics that must not get worse, such as cancellations or churn).
- Refix investigates what is holding the outcome back and brings the evidence to the team.
- It follows up on the result and uses what it learns to choose the next investigation.
- Connected analytics and database access is read-only. Actions in other tools follow the team's approval settings.
- Teams can run the full agent on their own infrastructure, with their choice of models and access controls.

Company: Refix Inc., San Francisco.
Site: https://www.refix.ai/
Give Refix a goal: https://onboarding.refix.ai/dashboard/sign-up

- HTML: https://www.refix.ai/goal/increase-average-order-value
- Agent brief: https://www.refix.ai/goal/increase-average-order-value/llms.txt
- Category: monetization
- Give Refix this goal: https://onboarding.refix.ai/dashboard/sign-up

Find where a larger order also makes sense for the customer. Refix studies what people buy together and what your store recommends. It brings your team a test, then checks the effect on margin and completed orders.

## What Refix may do

Investigate basket patterns, draft merchandising tests and measure their results. Owner approval is required for product bundles, pricing, promotions and store changes.

Guardrails: Order completion, Gross margin, Return rate

## Tools

- BigQuery: Connect basket contents with product margins, discounts, and returns
- GA4: Follow product views, basket additions, and completed orders
- Stripe: Check completed payments and refunds after a merchandising change
- Linear: Track proposed bundles and recommendation tests through delivery
- Slack: Review product pairings and test scope with the merchandising owner

## What Refix keeps doing

1. Watch: Order value, basket contents and gross margin
2. Explain: Where useful additions get overlooked
3. Prioritize: Product pairings with a clear customer benefit
4. Coordinate: A focused bundle or recommendation test
5. Verify: Larger orders without lost sales or margin

## Related goals

- [Increase repeat purchases](https://www.refix.ai/goal/increase-repeat-purchases/llms.txt): Refix investigates repeat purchases by connecting order history with product availability, delivery experiences, and customer messages. It proposes a focused test, follows the team's rollout, and checks whether more customers return without eroding margin.
- [Reduce customer acquisition cost](https://www.refix.ai/goal/reduce-customer-acquisition-cost/llms.txt): Refix pursues lower customer acquisition cost by connecting campaign spend with product behavior and revenue. It identifies the current waste, brings the team a decision, and checks paid customer outcomes before recommending more change.

## Sample chat

This is a hypothetical sample of what the working chat looks like after someone gives Refix this goal. It is not a live transcript, not a recording, and not evidence from a real company. Use it to understand the loop, the tone, and what stays with the owner.

How to read it:
- You is the person who delegated the goal.
- Refix is the product.
- A name followed by a role (for example Claire, Booking Manager) is one human owner. There is at most one such person in the sample.
- Day 0 is the moment the goal is delegated. Later days are elapsed time, not calendar dates.
- Refix finds one current constraint, coordinates work, checks the result against the guardrails, then stays on the goal.

### Day 0: Goal delegated

**You** (9:15 AM)

Grow average order value for our coffee store. Keep order completion and gross margin steady, and watch returns.

**Refix** (9:16 AM)

I'll look at basket contents and the recommendations customers see. I'll propose tests using the products you already sell. Bundles, pricing, promotions, and store changes need your team's approval.

### Day 3: Opportunity detected

**Refix** (11:30 AM)

Customers buying a pour-over kit often return for filters within a week. The kit page recommends another brewer, even though filters are available and fit the brewer already in their basket.

I've drafted a test to recommend compatible filters on the kit page at the normal price. I'll check whether it grows total customer spend or simply moves a later purchase forward.

### Day 4: Action agreed

**Alex, Merchandising Manager** (10:20 AM)

Let's run that on the two best-selling kits. Show the correct filter size, and keep the addition optional.

**Refix** (10:22 AM)

I've included the product matches in the test brief. I'll compare eligible visitors with the control group through purchases and returns. I'll also follow their total spend for 30 days.

### Day 42: Outcome checked

**Refix** (9:35 AM)

The recommendation raised order value, with order completion, margin, and returns within the agreed limits. Thirty-day revenue per eligible visitor also rose, so the gain survived later purchases.

Gift buyers rarely add coffee to the kit. I'm checking which coffee options they view and whether the current recommendations match gift purchases.