Delphinus Market Research
Home
Our services
How we work
About us
Contact us
Solutions
  • All solutions
  • Diagnosing stalled growth
  • Exam readiness
  • Customer experience
Delphinus Market Research
Home
Our services
How we work
About us
Contact us
Solutions
  • All solutions
  • Diagnosing stalled growth
  • Exam readiness
  • Customer experience
More
  • Home
  • Our services
  • How we work
  • About us
  • Contact us
  • Solutions
    • All solutions
    • Diagnosing stalled growth
    • Exam readiness
    • Customer experience
  • Home
  • Our services
  • How we work
  • About us
  • Contact us
  • Solutions
    • All solutions
    • Diagnosing stalled growth
    • Exam readiness
    • Customer experience
Solution: Audience research and predictive revenue modeling

How we diagnose stalled growth

Diagnosing stalled growth means finding the real reason an event, membership, or subscription program has stopped growing. We combine what audiences actually did in the past with what they tell us today, using behavior-calibrated conjoint analysis, to show what is holding growth back and what to change next.

Get your free assessment

What does stalled growth look like?

Flat numbers

A changing audience

A changing audience

Registrations, renewals, or sales stay flat year after year.

A changing audience

A changing audience

A changing audience

Audience behavior has changed, but no one can say how.

Reports without reasons

Decisions based on guesses

Decisions based on guesses

Reports show what happened, but not why.

Decisions based on guesses

Decisions based on guesses

Decisions based on guesses

New ideas are based on guesses instead of evidence.

Why is the cause so hard to find?

Most organizations have plenty of data, but it only shows what happened. It doesn't explain why others became inactive, or what each audience group values.


Surveys can fill that gap, but they have a blind spot of their own: people don't always buy what they say they will. This is called hypothetical bias. Decisions built on either source alone can make the problem worse.

How do we find the gaps?

Step 1: Review the historical data

We look at past registrations, sales, and renewals to see what audiences actually did, and separate real trends from noise.

Step 2: Ask active and inactive customers

We survey both groups. Inactive customers are often ignored, but they explain where value is being lost.

Step 3: Run a behavior-calibrated conjoint analysis

The survey asks each group to choose between different mixes of pricing, programs, and packages. We then calibrate those choices against the historical data, so results reflect real buying behavior, not just stated intent.

Step 4: Predict and plan

We build a predictive model from the conjoint analysis. It predicts the right pricing, programs, and packages, and maps the strategy for the next event.

What is behavior-calibrated conjoint analysis?

The method

What people actually did

What people actually did

A research method that checks what people say against what they actually do, by bringing two sources of data together.

What people actually did

What people actually did

What people actually did

Historical data on what audiences registered for, bought, or renewed.

What people say today

What people say today

What people say today

New conjoint survey data on the choices people make between pricing, programs, and packages.

The core value

What people say today

What people say today

Eliminating hypothetical bias: the gap between what people say they will buy in a survey and what they actually buy with real money.

How do our findings improve decisions?

Who to focus on

Where revenue is lost

Where revenue is lost

Which audience groups matter most, and what each one needs.

Where revenue is lost

Where revenue is lost

Where revenue is lost

The leaks to fix and the untapped areas to grow.

What to change first

What to change first

What to change first

The pricing, package, or program changes worth making, backed by real buying behavior.

What comes next

What to change first

What to change first

A revenue model built for the next strategic step. Audience behavior keeps changing, so for each new decision we repeat the approach: combine historical data with a new conjoint survey.

Who is this for?

Recurring programs

Years of data, no clear answer

Years of data, no clear answer

Leaders of conventions, exhibitions, memberships, and subscriptions.

Years of data, no clear answer

Years of data, no clear answer

Years of data, no clear answer

Plenty of reports, but no clear reason growth is flat.

A decision coming up

Years of data, no clear answer

A decision coming up

A pricing, package, or program change that needs evidence first.

Frequently asked questions

Quick answers about how we diagnose stalled growth.

A method that combines historical data on what audiences actually bought with new conjoint survey data on the choices they say they would make. Calibrating one against the other shows what each group values, and how they are likely to act.


The gap between what people say they will buy in a survey and what they actually buy with real money. Behavior-calibrated conjoint analysis is designed to eliminate it.


Active customers explain why they stay. Inactive customers explain why they stopped, which past data can't show.


A regular survey only captures what people say. We check those answers against what audiences actually did, then build a model that predicts what to change for the next event.


Is growth flat despite years of data?

Talk to us about what the data can and can't show.

Get your free assessment

Copyright © 2026 Delphinus Market Research - All Rights Reserved.

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept