Market Core · Customer Journey · Module

Drop-off

Where people leave, in what proportion, and why — because the stage with the largest loss is the one worth working on, whatever the current plan says.

The idea

How it works

Improving the largest loss is almost always cheaper than adding volume at the top, and it is almost always the less popular option because adding volume is a campaign and fixing a stage is a process change.

Not all drop-off is bad. People who leave because the offer is genuinely not for them are being correctly filtered, and treating that as leakage produces effort spent recovering customers who should not have been pursued.

Working with it

In practice

  1. 01

    Size each loss in absolute terms

    A poor conversion rate on a small stage matters less than a modest one on a large stage.

  2. 02

    Separate correct filtering from real loss

    Some drop-off is qualification working. Recovering it is a cost with no return.

  3. 03

    Ask the people who left

    They answer more readily than expected and their reason is rarely the one assumed internally.

  4. 04

    Fix the largest, not the most visible

    The stage everyone talks about is usually the one with the best-looking dashboard rather than the biggest loss.

One level in

The components of drop-off

A component is something that exists afterwards which did not exist before — a deliverable or a mechanism, not an intention.

  1. The losses

    How many leave at each stage, in absolute numbers.

    Learn
  2. The reasons

    Why they left, established by asking rather than inferring.

    Learn
  3. The correct filtering

    Which drop-off is qualification working as intended.

    Learn

Some drop-off is qualification working. Recovering it is effort spent on customers who should not have been pursued.