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Get started freeConcept head-to-head: Snapshot vs Debt Planner vs Money MOT
Question
If UK adults encountered each of these three free financial tools — Money Snapshot, Debt Freedom Planner, and Money MOT — which one would they be most likely to try immediately, given that none require signup or bank connection?
Summary
Debt Freedom Planner is the clear first-choice tool at 45.8%, nearly double Money Snapshot's 21.3%, yet 63.0% of respondents say what they most want is 'clarity' about where their money goes — revealing a gap between stated desire and actual tool preference. Trust-based referral is the dominant distribution channel: 95.6% say a recommendation from someone they trust is the top confidence driver, and 84.3% say they'd share a useful tool with a friend or family member.
Confirmed
3
Debt Freedom Planner wins the first-click race
45.8% of UK adults would try Debt Freedom Planner first, ahead of Money MOT (32.9%) and Money Snapshot (21.3%). This holds despite only 11.1% actively paying off debts, suggesting the tool's concrete output — a payoff order, a debt-free date, exact monthly amounts — appeals even to those optimising rather than struggling.
Word-of-mouth is the overwhelmingly dominant channel
84.3% say they'd send the link to a friend or family member after finding a tool useful, and 95.6% say a trusted recommendation is the top factor for trying a tool from an unknown brand. Built-in sharing mechanics should be a core product requirement, not an afterthought.
Most users feel financially secure and want to optimise
72.6% describe themselves as 'mostly on top of finances but wanting to optimise', and 60.9% already use a budgeting or money app. These tools will be judged against an existing baseline of competence, not adopted out of desperation.
Noteworthy
3
Clarity is the top desire but not the top tool choice
63.0% say they most want 'clarity' about where money goes — the value proposition of Money Snapshot — yet only 21.3% would try Money Snapshot first. This suggests Money Snapshot's 2-minute household-comparison framing undersells the clarity people crave, or that Debt Freedom Planner's specificity feels more immediately actionable.
Money MOT's score mechanic has weaker viral pull
Only 17.6% would 'definitely' tell someone about their Money MOT score, versus 67.6% who would 'definitely' recommend Debt Freedom Planner and 27.8% who would 'definitely' share Money Snapshot. A score out of 100 generates curiosity but not the strong advocacy that a concrete debt-free plan does.
Speed expectations are split — many will invest time
30.8% would spend more than 5 minutes if the result is worthwhile, while 56.4% want value within 2 minutes or less. This bimodal distribution means a layered experience — instant headline insight plus optional deeper analysis — would serve both segments.
Recommendations
4
Lead with Debt Freedom Planner as the hero tool
At 45.8% first-choice and 67.6% 'definitely would recommend', it has the strongest combination of trial intent and advocacy. Position it as the front door and cross-promote the other tools from its results page.
Reframe Money Snapshot around the clarity people crave
63.0% want clarity but only 21.3% chose Money Snapshot first. Reposition it with language like 'See exactly where your money goes' and test whether surfacing it as a clarity tool rather than a comparison tool lifts trial intent.
Build one-tap sharing into every results screen
With 84.3% likely to send a link and 95.6% trusting personal recommendations above all else, frictionless sharing (pre-written message, WhatsApp/iMessage deep link) is the single highest-leverage growth mechanic available.
Deliver a headline insight instantly, then offer depth
56.4% want value in under 2 minutes, but 30.8% will invest 5+ minutes. Design a two-layer experience: an immediate key takeaway on first screen, with a 'go deeper' option for users willing to spend more time.
The UK Adults 2026 - Consumer Finance user model was created from survey data from Prolific (survey platform) in Feb 2026, with 804 respondents answering 52 questions. It uses the Semilattice answers-1-s simulation engine and achieved 90% accuracy when predicting its own held-out questions.
Key Predictions
Imagine you came across three free financial tools online — none require signup or connecting your bank, and all data stays on your device. Which one would you try first? • Money Snapshot — enter your income and rough spending in 2 minutes, instantly see where your money goes versus similar UK households, and get 3 personalised actions to improve • Debt Freedom Planner — list your debts (credit cards, overdrafts, loans, BNPL), instantly see the fastest and cheapest payoff order, your debt-free date, and exactly what to pay each month • Money MOT — a 5-minute financial health check covering spending, debts, savings and bills that gives you a score out of 100 and a prioritised action plan
If you tried a free financial tool and found it genuinely useful, which of these would you be most likely to do next?
Which of these statements best describes your current financial situation?
If you used Money MOT and received a financial health score out of 100, how likely would you be to tell someone else about it?
Other Predictions
6
What would make you most confident about trying a free online financial tool from a brand you haven't heard of before?
How quickly would you want a free financial tool to give you something useful?
If you used the Debt Freedom Planner and it showed you a clear plan to become debt-free, how likely would you be to recommend it to someone you know who has debts?
If you used Money Snapshot and it compared your spending to similar UK households, how likely would you be to share it with a friend or partner?
Which of these best describes how you currently manage your money?
Which of these three words best describes what you'd most want from a free financial tool?
The UK Adults 2026 - Consumer Finance user model was created from survey data from Prolific (survey platform) in Feb 2026, with 804 respondents answering 52 questions. It uses the Semilattice answers-1-s simulation engine and achieved 90% accuracy when predicting its own held-out questions.