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Parch

Parch reported a 22% lift in customer revenue

Services

Customer intelligence · Commerce

LinksOriginal story ↗
Two people clink Parch cocktails over a table of citrus and agave cans

Overview

A shopper reads about adaptogens, compares the Mix Pack with a single flavor, then leaves. When that person comes back, the first visit is the most useful context Parch has.

Outcomes

Customer revenue lift
22%
Revenue influenced
$38K+
Engaged shoppers identified
3.1K
Returning shopper conversion
18%

How the return visit became actionable

Start with the buying decision

Parch sells four SKUs. Someone weighing a variety pack against one flavor is deciding how to try the product. A shopper reading about ingredients may still be deciding whether to try it at all. Those visits give the team different questions to answer.

Connect the visits

The customer intelligence capability now part of INGENIUS helped Parch recognize returning shoppers and see which products they had explored. That connection gave the team two pieces of context for follow-up: the shopper was back, and a particular product had held their attention.

Keep the commercial measures distinct

The published case reports 3,100 engaged shoppers identified and $38K+ in influenced revenue. It separately reports an 18% conversion rate among returning shoppers and a 22% lift in customer revenue. The conversion rate describes a group of shoppers. The lift describes a change in revenue.

Parch Prickly PalomaParch drink against a green backdrop

Figures are from the original Parch customer story, published by Arnio before it became part of INGENIUS.

From the playbook

What was the shopper still deciding?

For Parch, that question is more useful than a generic reminder to finish shopping. If someone keeps comparing the Mix Pack with one flavor, the next message has a specific job: help them choose.

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