Method and setup notes

Helal: how we counted, and how to set it up

For the marketer who wants to know what "no campaign by hand" means in practice, how the 47.5% was credited, and what ran on its own.

  • Every definition behind the numbers on the case study
  • The setup in the store, step by step
  • What to check in your own data

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What was measured

Period and population

Helal, an online halal food store in Bulgaria. The window is 4 July to 6 October 2026, the day after the last two campaigns sent by hand, on 1 and 3 July. The month index uses April to August 2026 as the base.

What counts as a result

Campaigns sent by hand: none since 3 July. Emails sent by the three always-on journeys: 165,000. The share of revenue that went through any Releva channel: 47.5%. Orders per month as an index, with the April to August average set to 100: July 117, August 86, September 173.

How an order is credited

An order counts for a channel when the shopper clicked a Releva email, push, recommendation or pop-up and then bought. One order can touch more than one channel, so the channel shares (26.3% journeys, 18.2% recommendations, 13.4% pop-ups and banners) add up to more than the 47.5% total.

Controlled or observed

Attributed, not measured lift. There was no holdout group. The September rise in orders comes from the store's own order data, in a month when Releva ran a bigger Meta budget, about three times July's.

What the numbers do not say

Meta's own report counted about twice as many purchases as the store took in September, so Meta purchases are not used anywhere; orders are. The 47.5% is a share of revenue that touched the agent, not the revenue the agent added.

Definitions

The terms on the case study

TermHow it is defined here
Manual campaignA one-off campaign someone builds and sends. The last two went out on 1 and 3 July 2026.
Always-on journeyA flow that runs on its own once set up: browse abandonment, cart abandonment by email and push, and the weekly newsletter.
Revenue through the agentRevenue from orders in which the shopper clicked a Releva email, push, recommendation or pop-up before buying: 47.5% of the window.
Share by channelThe same rule applied per channel. Shares overlap, because one order can touch several channels.
Order indexOrders in the month divided by the April to August average, times 100.
Meta campaigns run by RelevaReleva manages the store's Meta campaigns, including retargeting built from the same customer profiles. Counted in orders, not in Meta's purchases.
The setup

What was switched on, in order

1

The catalog and the orders connected

Products and orders flow in, so every journey and every recommendation knows what each shopper looked at and bought.

2

Browse abandonment

An email to every shopper who viewed products and left, built for that person from what they looked at.

3

Cart abandonment, email and push

To every shopper who left a cart, with the items they chose and what goes with them.

4

The weekly newsletter

Sends itself every week, with products picked for each reader.

5

On the site

Recommendations on every page and pop-ups with offers, decided for each visitor.

6

Meta

Releva runs the store's Meta campaigns, with retargeting from the same profiles.

To check it in your own store

Count the campaigns your team sent by hand in the last three months, and the emails your flows sent on their own. Then take your orders and flag the ones where the shopper clicked a flow email, a push, a recommendation or a pop-up before buying. That share is the number to compare with 47.5%.

Index your monthly orders against the five months before, and keep Meta's purchase count out of it: use your own orders.

See which of last week's visitors you missed

Thirty minutes, with your store and ad accounts open. Then 30 days free. A holdout group decides: if the agent doesn't add orders in 30 days, you don't pay.

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