FINANCIAL SERVICES
Anticipate the market's reaction
before it happens.
Retail banks, insurers, asset managers: test your sensitive decisions on coherent populations of customers and prospects, before they are launched or communicated.
THE THESIS — CARDINAL PROMISE
A sensitive financial decision is rarely judged on its substance: it is judged on the way it is perceived.
Our system lets you test that perception before you put your brand on the line.
CASE STUDY — NATIONAL BANKING NETWORK
“ How do you announce the phased removal of 1,200 ATMs in rural areas without triggering a reputational crisis? ”
Simulated on 1.2 million rural customers · 12 coherent demographic segments · 47 distinct motivations identified
The decision is economically rational: ATMs in low-activity areas cost EUR 38,000 a year on average, and their usage rate falls by 4.2% per quarter. But announcing a closure can trigger a media cascade: pensioner associations, local elected officials, regional press, national political mobilization.
The bank must decide: announce all at once, in phases, or through territorial anticipation? With what message? What compensation?
What the system revealed
The rejection is not economic, it is symbolic.
Rural segments do not reject the closure because they use the ATM. 73% of them have not used it in 18 months. They reject it because the closure symbolizes "the abandonment of rural areas." The rational message about low usage worsens the rejection: it confirms the perception of indifference.
Urban seniors are as affected as rural customers.
Counter-intuitively, urban senior customers identify massively with the fate of rural customers (a shared sense of fragility). The crisis spreads beyond the direct geographic scope. Communicating only to the affected areas underestimates the reputational impact.
The three-phase sequence works.
Announcing simultaneously (a) the phased closure, (b) the rollout of an alternative mobile service and (c) a partnership with a major partner group to maintain reduced cash access reduces rejection from 64% to 31%. Media coverage shifts from critical to descriptive.
What Imagine All The People did that no one else could have done
Our system individually interviewed 2,400 synthetic customers across 12 demographic segments, asked an average of 7 follow-up questions per person based on initial answers, and brainstormed 5 alternative communication scenarios that leadership had not considered. One of them, the partnership with this partner, became the cornerstone of the final strategy.
No AI persona tool can interview 2,400 distinct individuals. No traditional panel can dynamically follow up with each respondent. No quantitative study can brainstorm solutions.
- ACCEPTABILITY
- 36/100 → 67/100after communication pivot
- MEDIA CRISIS RISK
- −78%
- ESTIMATED COST OF DELAY
- +EUR 4.2Mif silence extends beyond 6 months
APPLICATIONS
Three uses for financial services.
Product launch & pricing
Test the acceptability of a new offer, a pricing grid, a contractual condition. Identify receptive segments, resistant segments, and pivot levers before go-live.
Communication & crisis management
Anticipate reactions to a sensitive announcement: restructuring, branch closures, governance change, a publicly disclosed cyber incident. Test several communication scenarios before committing the brand.
Compliance & reputational risk
Measure the perceived impact of a regulatory change, a compliance decision, an anti-fraud policy. Identify disproportionate friction on legitimate customers before rollout.
METHODS
Three ways to test a decision.
Comparing what a synthetic-population simulation brings against existing methods.
| AI PERSONAS | TRADITIONAL SURVEYS | IMAGINE ALL THE PEOPLE |
|---|---|---|
| SCALE | ||
| 5 to 10 fixed personas | 500 to 2,000 respondents | Up to 10 million coherent individuals |
| DYNAMICS | ||
| Frozen characteristics | Pre-written questions, static answers | Agents that ask, probe and brainstorm |
| TIME HORIZON | ||
| Assumed current state | Snapshot of the present | Projection of future consequences |
| DEPTH | ||
| One synthetic answer | Aggregated statistical tables | Individual dialogue + collective analysis |
| DATA & SOVEREIGNTY | ||
| Limited demographic data · US public cloud | Personal data collected at scale · Public cloud | Zero personal data · Infrastructure in France · On-premise possible |
OTHER CASES
Three other decisions tested in the sector.
LAUNCH — ONLINE BANK
“Launch an instant credit offer without being perceived as predatory.”
Simulated on 800,000 individual customer profiles · 18 financial behavior segments
The rejection is not about the product but the speed of approval. Framing the decision as accompanied by a 48-hour cooling-off period increases usage intent by 34 points without reducing final conversion.
- “PREDATORY” SENTIMENT
- 71% → 24%
- USAGE INTENT
- +34 pts
COMMUNICATION — CYBER INCIDENT
“Respond to a publicly disclosed cyberattack without deepening the loss of trust.”
5 communication scenarios tested · 24 dynamic follow-ups on unexpected friction points
Full transparency within 24 hours restores trust. Partial transparency does more damage than silence: customers detect the omissions and read them as an admission. Forty-eight hours is the tolerated window.
- TRUST RESTORATION
- +28 pts
- COST OF DELAY
- +42% beyond 48h
COMPLIANCE — REGULATION
“Anticipate how private clients will receive the new MiFID II regime.”
Projection over 24 months of behavioral change · 6 regulatory reaction typologies
HNW clients do not dispute fee transparency: they dispute how it is presented. Redesigning the pre-contractual document is enough to turn a flight risk into a competitive advantage.
- HNW ATTRITION RISK
- 23% → 6%
- PERCEIVED ADVANTAGE VS COMPETITORS
- +18 pts
METHOD — FINANCIAL SERVICES
A fifteen-minute study.
How a test runs on our system, from the brief to the delivered study.
1
You formulate your decision
A question in plain language, phrased the way you would phrase it in the executive committee. No formalism required.
2
The system builds the populations
Target segments are reconstructed from public aggregates and industry data. No personally identifying data enters the system.
3
The agents interview, discuss, brainstorm
The system runs the interviews itself, probes friction points, and proposes alternative scenarios you had not considered.
4
You explore the study
You talk with individual voices, challenge the reasoning, change the decision and watch the impact in real time.
Your next decision
Which decision do you want to explore?
Describe your need. We can point you to the right level of support.
