Opinion

Using the FCA's Financial Lives Survey to shape credit unions' path to 2035

The 2024 data reveals a reachable mass market, the limits of the sector's current positioning, and a small number of national initiatives that could change the maths — and possibly bring the doubling target forward to 2030.

James Fell June 2026 7 min read
A young woman and an older man smiling together at a laptop — illustrating intergenerational financial confidence and the community at the heart of the credit union movement.

In June 2025, the Swoboda Research Centre and the New Economics Foundation launched United Vision 2035 — a project to double UK credit union membership and support 1.5 million new members by 2035.

The 2035 maths — and a challenge

UK credit unions enter 2025 with around 1.57 million members (ABCUL, Q4 2025). Doubling implies ~3.1 million by 2035 — ~150,000 net new members every year for ten years. That is not the current trajectory: Bank of England data shows membership oscillating around 2.16m UK-wide, with a fall in Q3 2025 and only a small rebound in Q4.

The government's manifesto pledge to double the mutuals sector is undated. With the £30m Credit Union Transformation Fund and the March 2026 common bond reforms now in place — locality cap raised from 3m to 10m, students included, modernised family rules — the policy environment has shifted materially. The sector has chosen 2035. The honest question is whether, with these tailwinds, 2030 is the better ambition.

The mass market is bigger than the sector thinks

17% of UK adults say credit commitments or domestic bills are a heavy burden. Roughly 1 in 6 show characteristics of vulnerability. Comparable cohorts have low financial capability or low financial resilience. 6.5% are in financial difficulty. Conservatively, these groups describe 8–10 million UK adults the sector is already designed to serve.

Two further audiences the sector tends to overlook: 7% of switchers would move provider for a better ethical or environmental policy — roughly 350,000 ethical-switchers a year. And 13% chose their provider because they trusted them to treat them fairly. Recommendation is the single largest driver of provider choice in the survey at 37% (NET) — outranking reputation, convenience, and incentives.

Adding 1.5 million members is around 15–20% of the natural addressable market. Ambitious, not unprecedented.

The positioning trap

The current credit union member skews heavily toward those in financial difficulty, with low resilience, and showing characteristics of vulnerability. The model is working as designed — and the framing it creates is also the ceiling.

When the mass market thinks of a credit union, they think “where you go when you can't get credit elsewhere.” That positioning makes the proposition invisible to the trust-driven chooser, the ethical-switcher, and the 19% of consumers who say there is “no real difference between providers” today.

The Financial Lives data argues for a reframe: trust (13%) beats rates (9%) as a choice driver; recommendation at 37% NET is the largest single factor; 7% of switchers are actively seeking ethics. Credit unions are constitutionally positioned for all three — but market none of them.

This does not abandon the financially excluded — it broadens the front door, so the existing membership is joined by a much larger group choosing a credit union because it is the better answer, not because there is no alternative.

From 348 credit unions to one movement

The UK has 348 credit unions, down 30% in a decade. Each runs its own brand, marketing, digital experience, and employer partnerships. For a consumer, this is invisible. For the sector, the largest driver of choice — recommendation — cannot compound, because most people cannot name a credit union to recommend.

A portfolio approach does not require mergers. It requires coordinated infrastructure: a recognised national brand layered over local membership, one digital experience, one content engine, shared compliance capability, common product transparency. Members still belong to their local credit union. The public face becomes visible enough to talk about.

Three national initiatives that could change the maths

Three national initiatives that could deliver the 2035 doubling target Charity-funded referral engine, money coach in every credit union, and AI-enabled payroll partnerships — combined up to 2m new members over 10 years. Three initiatives. Up to 2m new members over 10 years. Sized illustratively against FCA Financial Lives 2024, BoE & ABCUL Q4 2025 data 1. Charity-funded referrals ~63k new members / year ~630,000 over 10 years 2. Money coach in every CU ~78k new members / year ~780,000 over 10 years 3. AI payroll partnerships ~100k new members / year at scale ~600,000 over 10 years
Three initiatives, sized illustratively against FCA, BoE and ABCUL Q4 2025 data.

1. A charity-funded referral engine — uniquely credit-union

Recommendation is the single largest driver of provider choice in the Financial Lives Survey, at 37% (NET). The credit union sector has 1.57 million UK members who already trust the institution and are constitutionally aligned with it — and almost none of them are systematically activated to bring someone else in.

Other sectors solve this with cash. Revolut Business currently pays up to £700 for a successful business referral; consumer fintechs routinely run £20–100 member-get-member campaigns. None of that fits credit unions. Large cash incentives clash with the ethical-choice positioning the sector is built for, and they pull value out to individual referrers rather than back into the movement.

There is a mechanic only credit unions and mutuals can credibly run, and it works at a fraction of the cost. For every successful referral, the credit union releases £10 of value — and the referring member chooses: donate the full £10 to the Credit Union Foundation to fund more sector projects, or take £5 as cash with the remaining £5 still going to the Foundation. Either way, the Foundation receives at least £5 per referral (plus Gift Aid uplift on the charitable portion), and the proposition tells members exactly what kind of organisation their credit union is.

Sized illustratively: if 10% of existing UK members refer one person per year (conservative — high-engagement programmes regularly exceed 25%), that is ~157,000 warm referrals per year. At 40% conversion (warm-referral norm), the sector adds ~63,000 new members per year, or ~630,000 over a decade. Programme cost: ~£630,000 / year, or ~£6.3m over ten years — roughly £10 per acquired member, an order of magnitude cheaper than the other two initiatives, with most of the spend recycled back into the Foundation. Implementation timing is short: 6–9 months from green-light to launch a sector-wide referral platform sitting on existing onboarding.

This is the lead recommendation because it is the only one that is uniquely available to credit unions. No bank can match it. No fintech wants to.

2. A money coach in every credit union

The mass market does not currently turn to credit unions for financial education — it turns to MoneySavingExpert, MoneyHelper, social media, and the banks themselves. One trained money coach per credit union gives the sector an asset no other category can match: free, trusted financial guidance from an organisation aligned with the member's interests.

Sized illustratively: 348 coaches × (2 group sessions/week × 8 attendees + 3 individual sessions/day × 5 days) × 48 weeks ≈ 518,000 contacts per year. At 15% conversion to membership — consistent with high-trust face-to-face onboarding — that is ~78,000 new members per year, or ~780,000 over a decade. Roughly half the doubling target from a single coordinated initiative.

Cost is far smaller than it sounds, because this is not a new-hire programme. Each credit union nominates an existing member of staff who has been freed up by AI automation elsewhere in the operation — loan processing, onboarding, member servicing — and trains them as a money coach. Training is ~£2,000–3,000 per coach, plus shared curriculum, supervision and digital tools. The full sector-wide programme is realistically deliverable for around £3m over ten years — less than one large credit union's annual marketing spend, and partly fundable from the referral-driven Foundation flow above.

3. AI-enabled payroll partnerships at scale

Payroll deduction is the most powerful onboarding mechanism the sector has: it builds the savings habit automatically, embeds the member, and produces some of the lowest default rates in consumer credit. Yet most credit unions run between 5 and 50 partnerships because every one is manual — employer pitch, payroll integration, employee onboarding, service. The bottleneck is operational capacity, not demand.

Current AI capability changes the maths. AI-drafted employer pitches, standardised payroll connectors, AI-handled member onboarding and routine queries, auto-generated employer reporting — together they make it realistic for one credit union to run 1,000 partnerships as easily as it runs 10. With ~1.4 million UK businesses with employees, the addressable employer base is no longer the constraint.

Sized illustratively: ~50,000 employer partnerships at sector-wide full scale × 2 new members per employer per year (steady state) = ~100,000 new members per year at full scale, or ~600,000 over a decade with the build-up curve. And this is the surprise: a working MVP can be built for around £50,000 using existing AI tooling — employer outreach drafted by AI, connectors to mainstream payroll platforms already exist, member queries handled by chat. Ongoing run-cost across the sector is in the low hundreds of thousands per year, not millions. The bottleneck on payroll partnerships used to be operational headcount. AI removes that bottleneck almost entirely.

Together, the three initiatives could deliver up to ~2 million new members over ten years — comfortably beyond the United Vision 2035 doubling target before allowing for channel overlap, and arguably putting 2030 within reach.

And here is the punchline: this is genuinely cheap.

Five years ago, a national programme on this scale would have cost the sector hundreds of millions in headcount, custom builds, and bespoke integration. AI changes that arithmetic completely. The money-coach programme uses existing staff freed up by AI automation — training, not hiring. The payroll-partnership platform is a ~£50k MVP sitting on off-the-shelf AI tooling and standard payroll connectors. The referral engine is a thin layer on existing member onboarding.

A defensible total across all three pillars sits at roughly £10–15m over a decade: most of it the £6.3m of referral incentives (which flows back into the Credit Union Foundation), plus a few million for training and tooling. That is well under 10% of the HM Treasury Credit Union Transformation Fund, and a small fraction of the £65m the sector already earns in net interest each year. Per new member acquired, the cost is in single-digit pounds.

The blocker on doubling is not money. It is coordination.

What this means

The Financial Lives Survey does not make doubling inevitable. It makes it possible — and, with the policy tailwinds now in place, brings 2030 within honest reach. Continuing as 348 separate local strategies, positioned as the lender of last resort, will leave most of the addressable mass market untouched. Repositioning as the ethical, fair-treatment, mass-market option — supported by a charity-funded referral engine, a national money-coach initiative, and AI-enabled payroll partnerships — is the route the data shows is open. United Vision 2035 will be judged on whether the sector chooses to reach it.

References & sources

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