“Which product journeys attract interest but fail to reach checkout?”
Fundle Brain
01
Map the funnel
Define the event sequence and sources that describe discovery, cart, checkout and purchase. Confirm that events refer to the same reporting period and are not duplicated.
02
Choose a commercial problem
Select one drop-off or repeat-purchase issue with enough evidence to investigate. Read traffic mix, device, category and fulfilment context together.
03
Prepare a focused intervention
Improve the relevant product explanation, navigation, merchandising or recovery journey. Keep the change and the outcome being measured explicit.
04
Measure the whole order
Review conversion with cancellations, returns, fulfilment cost and contribution. A higher order count may not produce a better commercial result.
BUILT AROUND THE WORK
Connect the purchase journey to the customer relationship.
The online store is one part of a retail business. Discovery, checkout, returns and the next purchase should be understood alongside the catalogue, store network and customer history available to the business.
01
Find the real friction
Review the route from category to product, cart and checkout. Separate a product-information problem from delivery, price, payment or availability friction.
02
Merchandising with context
Organise product discovery around needs, attributes and category logic. Use accurate catalogue information and distinguish a recommendation from confirmed stock availability.
03
A connected customer view
Agree how orders and store transactions relate to a known customer. Keep anonymous browsing and unmatched records separate from confirmed identity links.
04
Retention after fulfilment
Connect the completed order, return outcome and category purchase cycle to the next relevant journey. A cancelled or returned purchase should not trigger the same follow-up as a successful one.
THE OPERATING FLOW
From the first question to the next useful action.
A shopper researches a product online and buys in a store. A connected view can recognise that journey where identity and permissions allow, so the next interaction reflects the purchase.
01
Map the funnel
Define the event sequence and sources that describe discovery, cart, checkout and purchase. Confirm that events refer to the same reporting period and are not duplicated.
02
Choose a commercial problem
Select one drop-off or repeat-purchase issue with enough evidence to investigate. Read traffic mix, device, category and fulfilment context together.
03
Prepare a focused intervention
Improve the relevant product explanation, navigation, merchandising or recovery journey. Keep the change and the outcome being measured explicit.
04
Measure the whole order
Review conversion with cancellations, returns, fulfilment cost and contribution. A higher order count may not produce a better commercial result.
BRING YOUR BUSINESS QUESTION
Give Fundle Brain something useful to work on.
Start with the question. Define the data and workflow needed to answer it.
↗Which product journeys attract interest but fail to reach checkout?
↗How does repeat purchase differ between store and online cohorts?
↗Which conversion improvements survive after returns are included?
CONNECT
Start with the right data.
Product catalogue, order history, event data, identity keys and channel permissions.
PUT IT TO WORK
Leave with a useful output.
Journey diagnosis, merchandising recommendations and prioritised conversion experiments.
MEASURE WHAT MATTERS
Conversion / repeat orders / contribution per order
Use conversion by journey stage, completed orders, return-adjusted revenue, repeat purchase and contribution per order. Compare like traffic and categories before attributing movement to a website change.
GOOD QUESTIONS
Before we get started.
Must we replace our current storefront?
The starting point is your existing commerce stack. Scope the required data and workflows before choosing integration or replacement.
Can store and online purchases be connected?
They can be connected where reliable customer identifiers and permitted data use are available. Define matching rules and show the remaining unmatched share.
Does this require live stock integration?
Only workflows that promise live availability need it. A discovery or enquiry journey can start with maintained catalogue data and store confirmation, clearly labelled as such.
