Customer Behaviour

What customers do after the first order

Repurchase rates, time between orders, product journeys and purchase funnels, for new and returning customers.

Sample data
What customers do after the first order

How it helps

Shopify repeat purchase rate, reorder timing and what comes next

Most of the profit in a store comes from the second and third order. Customer Behaviour shows your Shopify repeat purchase rate per cohort, when customers come back, what they buy next and where they stop.

  1. 01

    Reach customers at the right moment

    Time between orders shows how many days usually pass before the second and third purchase. Reminders and win-back emails can then go out just before customers would reorder, instead of on a fixed schedule.

  2. 02

    Cross-sell what people actually buy next

    The product journey analysis shows the products bought after each first product, with customer counts. Those pairs make better cross-sell recommendations for thank-you pages and follow-up emails than guesses.

  3. 03

    See where repeat buying breaks

    Repurchase rate per cohort shows whether retention improves, and purchase funnels built from your Shopify products, tags or codes show at which step most customers stop. Effort goes to that step instead of to the whole range.

Features

What the report shows

Loading 0%

Following second orders0%
Product journey

Second order after the starter set

Starter set

1,200 customers

Beans 1kg56%
Milk frother24%
Cleaning tabs12%
Gift card8%

Product journey

What customers buy second and third after each first product, as a flow from order to order.

Counting repeat buyers0%
Repurchase rate

Customers who buy again within

34%3 pts

0%

30 days+1 pts

0%

90 days+3 pts

0%

180 days+4 pts

0%

365 days+3 pts

Last year

Repurchase rate

Share of customers who buy again within 30, 90, 180 or 365 days, per monthly cohort.

Measuring reorder gaps0%
Time between orders

Share of second orders

Day 21
0%
10%
20%
30%
40%
0-1415-3031-6061-9091-180180+
Second orders

Time between orders

Days between the first, second and third order, so you know when customers usually come back.

Building the funnel0%
Refill funnel

Starter set customers since January

7%
  1. 1
    Bought starter set
    1,200
  2. 55% dropped
    2
    Bought refill
    540
  3. 65% dropped
    3
    Bought 2nd refill
    190
  4. 58% dropped
    4
    Subscribed
    80

Purchase funnels

Build 2 to 6 step purchase sequences from products, tags or codes and see where customers drop off.

Running the example store0%

Days to the second order

Share of second orders per 5 days

20%
10%
0%
Win-back email: day 7
Most come back between day 15 and 30
Second orders +14%
Refill bundle in the email42% of starter set buyers take beans nextRevenue from returning customers
Before22%
After31%
Day 015306090
  1. 01 · TimeLearn when customers come backDay 21
  2. 02 · NudgeSend the reminder when it lands+14%
  3. 03 · RepeatOffer what they buy next22% → 31%

Most second orders land between day 15 and day 30. The win-back email goes out on day 7, long before.

In the report: Days between orders

Turn first orders into repeat revenue

Example: a coffee store whose win-back email goes out on day 7.

Questions it answers

From a question to the next step

  1. 01 · You ask

    When should I send a reorder reminder?

    Why it matters: A reminder that arrives a week after the usual reorder day reaches customers who already bought elsewhere. Timing the message to the real gap between orders raises repeat orders without a bigger discount.

    The report shows

    How many days pass between the first and second order.

    You act

    Send the reorder reminder just before the peak, not a week after the first order.

    Reorder timing

    Second orders by days since the first

    Day 21
    0.0%
    1.0%
    2.0%
    3.0%
    4.0%
    5.0%
    Peak
    d0d14d28d42d56
  2. 02 · You ask

    What do customers buy after the starter set?

    Why it matters: Offering the product most customers buy next turns a guess into a tested pair. It lifts the second order rate and average order value with no extra ad spend.

    The report shows

    The products bought next, with customer counts.

    You act

    Offer the most common second product as a cross-sell on the first order's thank-you page and follow-up email.

    Bought next after the starter set

    1,200 starter set customers

    • Coffee beans 1kg

      504 customers

      42%
    • Milk frother

      216 customers

      18%
    • Cleaning tabs

      108 customers

      9%
    • Gift card

      72 customers

      6%
  3. 03 · You ask

    Is my repurchase rate improving?

    Why it matters: Customer retention analytics per cohort show whether changes to products, emails or offers help. A store-wide rate mixes old and new customers and moves too slowly to tell.

    The report shows

    90-day repurchase rate per monthly cohort.

    You act

    If repurchase rates fall for recent cohorts, review the post-purchase emails and product quality.

    90-day repurchase by cohort

    First-order cohorts · vs last year

    21%7 pts
    0%
    10%
    20%
    30%
    MarAprMayJunJulAug
    Bought again in 90 daysLast year
  4. 04 · You ask

    Where do customers drop off in my range?

    Why it matters: Every step in a product range loses customers. Knowing the step with the largest drop shows where one offer or reminder brings back the most orders.

    The report shows

    Customers at each step and the drop-off between them.

    You act

    Find the step where most customers stop and add an offer or a reminder right there.

    Drop-off by step

    Starter set customers since January

    660 lost55%
    0
    500
    1,000
    1,500
    2,000
    Starter setRefill2nd refillSubscribed
    CustomersDropped off

Common questions

Questions about the Customer Behaviour report

Repeat purchase rate is the share of customers who placed more than one order in a time window. Profitario calculates it per monthly cohort within 30, 90, 180 or 365 days of the first order, so you can compare cohorts instead of exporting customer lists.

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