BEHAVIOR MEASUREMENT / CONVERSION INTELLIGENCE

Your conversion rate tells you what happened. Not why the journey broke.

I make the behavior between arrival and conversion visible, so you can see where people move forward, where they stop, and which parts of the journey deserve a closer investigation.

JOURNEY SIGNAL Illustrative funnel
ANALYZING
01 Landing
1,000
02 Engaged
640
03 Intent
218
Significant loss detected
04 Action
73

Illustrative data only. The point is not the numbers. It is knowing where to look.

01 / THE BLIND SPOT

Two numbers can hide an entire customer journey.

You know how many people arrived.

You know how many converted.

But between those two numbers, people clicked, hesitated, explored, abandoned forms, returned, ignored calls-to-action, moved between pages, or disappeared completely.

That behavior is where many useful clues live.

If those actions are not measured properly, the final conversion rate tells you that something happened without showing you where to investigate next.

02 / MAKE IT VISIBLE

I turn the journey into signals you can inspect.

Not every click deserves a dashboard. We focus on behavior that helps explain movement toward or away from conversion.

01
↗

Events

Identify the actions that actually matter: CTA clicks, form starts, submissions, purchases, sign-ups, and meaningful interactions.

02
↓

Drop-Offs

Find the stages where a disproportionate number of people stop progressing through the journey.

03
◫

Funnels

Connect individual actions into a sequence so the journey can be measured as a path, not a pile of unrelated metrics.

04
◉

Patterns

Compare useful segments, devices, acquisition sources, or journey stages when those differences can reveal a meaningful pattern.

03 / WHAT I INVESTIGATE

Measurement should answer questions, not decorate dashboards.

01

Measurement Gaps

Are important customer actions missing, duplicated, incorrectly configured, or buried beneath meaningless events?

VISIBILITY
02

Funnel Loss

At which stage does progression weaken, and how large is the loss compared with the stages around it?

DROP-OFF
03

Behavior Differences

Do important patterns change across devices, traffic sources, landing experiences, or other useful segments?

PATTERN
04

Decision Signals

Which findings are strong enough to justify deeper investigation, experimentation, or a change in priority?

ACTION
04 / THE METHOD

Make it visible. Follow the behavior. Find the signal.

01

Map

Define the meaningful stages between discovery and the outcome the business cares about.

02

Measure

Make the important events and transitions visible with a cleaner measurement structure.

03

Investigate

Follow progression, abandonment, and useful behavioral differences through the journey.

04

Prioritize

Turn the strongest evidence into a clearer list of what deserves attention next.

05 / THE SHIFT

From watching numbers to understanding movement.

WITHOUT INTELLIGENCE
01 See low conversion
02 Guess what happened
03 Change something
04 Hope it works
WITH BETTER VISIBILITY
01 Map the journey
02 Measure behavior
03 Locate the loss
04 Prioritize evidence
06 / WHAT YOU GET

Evidence you can actually use.

The exact work depends on the measurement problem, but the goal stays the same: turn behavior into something useful for decision-making.

01

Conversion Event Map

A clearer definition of the actions and milestones worth measuring.

02

Funnel Structure

A measurable view of how customers progress through important stages.

03

Drop-Off Findings

Identification of journey stages showing meaningful loss or unusual behavior.

04

Behavior Insights

Useful patterns and differences that help explain where deeper investigation may be warranted.

05

Priority Actions

A practical hierarchy of what the evidence suggests deserves attention first.

07 / NO DATA THEATER

Analytics can show behavior. It cannot read minds.

A drop-off tells us where something happened, not automatically why a person made the decision they made.

Good conversion intelligence narrows the search. It gives us evidence, reveals patterns, challenges assumptions, and shows where deeper investigation or testing makes sense.

The goal is not pretending data knows everything. The goal is making fewer decisions in the dark.
CONVERSION INTELLIGENCE

Stop staring at the final number. Follow what created it.

Make the journey visible, find where momentum disappears, and use the evidence to decide what deserves attention next.

Bigin Investigation