Turn store data into repeat customers, and first-time ones.
Connect your storefront, email, and ads so every order, product, and customer sits in one view. AIRA shows you who to keep, who to win back, and which of the people you already reach have never bought at all.
ShopifyOrders & products
GA4Site behavior
KlaviyoLifecycle & flows
Ecommerce leverage
Grow revenue from the customers you already have.
Acquisition keeps getting more expensive. Your store already holds the signals that show where repeat revenue, higher order value, and retention are hiding.
See which customers are worth keeping
Rank buyers by lifetime value, repeat behavior, and churn risk instead of judging every order by its last click.
Know what to sell next
Product affinity and purchase sequence show the next best offer for each group of customers, not one blanket promotion.
Catch churn while it still costs nothing
Spot buyers slipping away in time for a win-back to work, instead of finding out months after they stopped ordering.
Buyers and non-buyers
Your most overlooked audience has never bought anything.
Your storefront files everyone under customers, so the people who subscribe, browse, and come back without ordering sit in the same list as your best buyers. They are not a cold audience. You already paid to reach them, through ads, content, or the last campaign, so converting them adds no new acquisition cost.
AccessFuel separates the two, then turns the second group into something you can act on: a saved segment, or a persona your team can write campaigns against.
1,240
Buyers · 23%
4,120
Non-buyers · 77%
Buyers
Ordered at least once
- Value already visible in revenue and repeat rate
- Segment for retention, win-back, and lifetime value
Non-buyers
Subscribed, browsed, came back — never ordered
- Already acquired, so converting them adds no new acquisition cost
- Segment them, or build a persona, and target them directly
One operating model
From order history to revenue you can act on.
One clear system across your catalog, your customers, and your channels, without exporting another spreadsheet to answer a simple question.
Connect & Unify
Bring storefront, lifecycle, and ads together.
Connect Shopify or WooCommerce, Klaviyo, Meta, Google Ads, and GA4 so orders, products, and customers resolve into one view.
Understand
Turn order history into customer understanding.
AIRA reads purchase history, product mix, and lifecycle behavior alongside your Brand DNA and real personas.
Review
See the next move with the revenue behind it.
Every recommendation shows the customers involved, the revenue at stake, and the reasoning your team can check.
Launch & Learn
Send segments and offers back to your stack.
Push the audience, offer, or campaign to your store and channels. Results return as evidence for the next decision.
What your store gets
Answers your team can act on, not more charts to read.
Not another analytics tab. Every output is something your merchandising and lifecycle teams can review, export, or launch this week.
Customer segments
VIPs, repeat buyers, one-time shoppers, and at-risk customers, ready to export to your store and channels.
Retention and win-back plays
Who is slipping away, what it is worth in revenue, and the offer most likely to bring them back.
Product and offer insights
What sells together, what drives a second order, and where discounting is quietly eating your margin.
Revenue reads
How orders, average order value, and repeat rate moved, and what to do about it, on your schedule.
Workflows & demos
Ask it the way you would ask an analyst.
The runs store teams reach for most. Each one shows the prompt exactly as it is sent and what it leaves behind.
Engaged Non-Buyers
The people who subscribe, browse, and come back without ever ordering.
- 01Separate buyers from non-buyers
- 02Rank by engagement
- 03Show the save card
- Shopify connected
- Klaviyo connected
- Data access on
The prompt
Find people who have engaged with us — subscribed, browsed, or added to basket — but have never placed an order. Show me how many there are and save them as a segment.
Run in AIRASegment preview — Engaged Non-Buyers
I separated the people who engaged from the people who ordered. Here is the group before you save it:
4,120 engaged non-buyers
- Order history
- No completed order, ever
- Engagement
- Opened a campaign or returned to the site in the last 90 days
- Marketing consent
- Email marketing status is subscribed
Find people who have engaged with us — subscribed, browsed, or added to basket — but have never placed an order. Show me how many there are and save them as a segment.
30-Day Campaign Calendar
Next month's sends, planned from how the last 90 days actually performed.
- 01Read Klaviyo performance
- 02Plan 30 days of sends
- 03Build the calendar table
- Klaviyo connected
- Data access on
The prompt
Look at how our Klaviyo campaigns performed over the last 90 days, then build me a 30-day campaign calendar for next month. Give it to me as a table with the date, campaign type, audience and subject line angle for each send.
Run in AIRACampaign calendar — next 30 days
I read the last 90 days of Klaviyo performance. Here is next month before you export it:
12 sends planned across 4 weeks
- Week 1
- Win-back to lapsed buyers, Tuesday and Thursday
- Week 2
- New arrivals to engaged subscribers
- Week 3
- Replenishment reminder on the highest repeat SKUs
Look at how our Klaviyo campaigns performed over the last 90 days, then build me a 30-day campaign calendar for next month.
Customer Segment Builder
Describe the group, see the count, then decide whether to save it.
- 01Translate the description
- 02Count matching customers
- 03Show the save card
- Any source connected
- Data access on
The prompt
Build a segment of customers who have spent over $500 in the last twelve months and accept marketing. Show me how many match before I save it.
Run in AIRASegment preview — High-Value Customers (marketing-eligible)
I have built your segment from synced order data. Here is what matches before you save:
1,284 customers match all criteria
- Spend
- at least $500 in the last 12 months
- Product scope
- All storefront orders, refunds excluded
- Marketing consent
- Email marketing status is subscribed
Build a segment of customers who have spent over $500 in the last twelve months and accept marketing. Show me how many match before I save it.
A/B Test Campaign Report
See which subject line patterns actually move open and click rates.
- 01Query last ten campaigns
- 02Compare subject lines
- 03Build the table
- Klaviyo connected
- Data access on
The prompt
Compare open and click rates across our last ten Klaviyo campaigns and tell me which subject line patterns performed best.
Run in AIRASubject line read — last 10 campaigns
I compared open and click rates across your last ten Klaviyo sends. Here is what stood out:
3 patterns beat your average
- Question openers
- highest open rate of the ten
- Product name in subject
- strongest clicks on new arrivals
- Urgency language
- no lift on open, weaker clicks from repeat buyers
Compare open and click rates across our last ten Klaviyo campaigns and tell me which subject line patterns performed best.
Weekly Performance Pulse
Last week against the week before, ready before the Monday meeting.
- 01Query week vs week
- 02Find what moved
- 03Build the one-pager
- Any source connected
- Data access on
The prompt
Build my Monday pulse: revenue, orders and top traffic sources for last week versus the week before. Make it an interactive one-pager with the three headline numbers at the top.
Run in AIRAWeekly pulse — last week versus the week before
Here is Monday's read, ready to open as an interactive one-pager:
Revenue up week over week
- Orders
- up on the week before, driven by repeat buyers
- Average order value
- steady, with bundles pulling it up
- Top traffic source
- Email, ahead of paid social
Build my Monday pulse: revenue, orders and top traffic sources for last week versus the week before.
Built for your store
Your catalog, your customers, your numbers.
AIRA works from your real order history and brand context, and shows the evidence behind every recommendation it makes.
- Your order and customer data stays in your workspace
- Every number traces back to real orders
- Brand DNA keeps offers and copy in your voice
- Your team approves what launches and teaches the system why