The 4 Challenges Shaping Customer Experience in UK Financial Services

Based on intelligence from senior CX, digital, and operations leaders across retail banking, insurance, and financial services — representing a combined estate of over 2,500 branches across the UK.

Four challenges are defining the customer experience agenda in UK financial services right now. We gathered intelligence from over 50 senior leaders in retail banking, insurance, and financial services, and the same patterns kept surfacing. AI investment is accelerating, but the data foundations needed to make it work are not keeping pace. Branch networks are losing customers at the digital touchpoint before they ever arrive. Insight teams are sitting on review data they cannot act on. And localised personalisation — the most immediate opportunity for brands with physical locations — remains almost entirely unaddressed.

The thread connecting all four: unmanaged, location-level data that nobody owns.

01 · AI ambitions are outpacing the data quality needed to deliver them

AI is at the top of everyone’s agenda. Agentic AI, conversational interfaces, predictive personalisation, embedded intelligence across customer touchpoints — the investment intent is real and urgent. But a pattern is emerging: organisations are discovering mid-project that AI surfaces whatever information already exists about their brand online, and that information is often wrong or incomplete.

LLMs and AI assistants do not invent answers — they build them from data. The consistency of a location’s name, address, and phone number across platforms (what the industry calls NAP data) is one of the key factors that determines whether an AI model can find a business and trust its information. When those details vary between Google, Apple Maps, Bing, and third-party aggregators, the model interprets the discrepancy as an error — or treats the listings as two separate entities entirely. This directly undermines brand credibility in AI-generated responses.

In short: most financial services brands are simply not GEO-ready. Their location data is too inconsistent for AI to trust.

If a branch’s opening hours are wrong on Google, the AI assistant will confidently tell a customer the wrong thing. For an institution managing 600 branches, even a 10% data error rate means 60 locations simultaneously misleading customers across every AI-powered channel. Fixing this at scale requires automation and a single source of truth — not manual updates across platforms.

• Fewer than 1 in 3 senior leaders felt their location data was ready to support their AI ambitions.

• 47% of searches now trigger an AI-generated answer. If your location data is wrong, that is what customers see. (SE Ranking, 2025)

• 84% of consumers search for local businesses daily — AI now shapes what they find. (Rio SEO, 2025)

02 · The branch experience starts online — and most banks are losing customers before they arrive

Leaders responsible for branch networks flagged the same blind spot consistently: the in-branch experience is a known priority, while the digital touchpoint that precedes every branch visit is largely unmanaged. For institutions managing 25 branches or 600+, the question is not whether digital presence affects branch performance — it is why nobody is systematically managing it.

Reviews go unanswered. Local promotions do not exist. Profile completeness across Google, Apple Maps, Bing, and AI discovery platforms is inconsistent branch to branch. This is a measurable leak between digital interest and physical footfall, and it sits in the gap between marketing and operations — owned by neither.

• 78% of branch and operations leaders have no dedicated owner for digital presence management.

• 90% of financial services consumers begin their journey with an online search. (LSA)

• 70% more likely to visit a location with a complete and accurate online profile. (Google)

03 · Review and journey data is going to waste, at scale

Among Heads of CX, Customer Insight, and Decision Intelligence, the dominant frustration was not a lack of data — it was an inability to act on it. NPS scores, real-time feedback, journey analytics, digital behaviour data, and public review data all exist. But they live in separate systems with no location-level view connecting them.

Which branches are generating the most complaints? Which locations are underperforming, and why? Without the ability to analyse feedback at a branch level and surface trends at volume, insight teams are left guessing. Review data in particular is almost entirely unread at scale — thousands of signals from real customers, with no systematic way to extract intelligence from them.

• 87% of CX and insight leaders cited fragmented data as a barrier to location-level decision making.

• 75% of consumers read at least 4 reviews before making a decision. (Rio SEO, 2025)

• 4.1% conversion improvement for every 25% of reviews responded to. (SOCi)

04 · Localised personalisation remains the largest untapped opportunity for branch-based brands

Of the four challenges, this is where the gap between opportunity and execution is widest. Financial services brands have sophisticated central marketing capabilities — brand campaigns, product launches, lifecycle programmes. But the ability to tailor messaging, promotions, and content to the specific context of a local branch — its community, its competitive environment, its customer mix — remains almost entirely unaddressed.

This matters because localised relevance is what drives footfall and conversion. A branch that promotes a mortgage event specific to its area, responds to local reviews in the language of its community, and appears with accurate and complete information when a nearby customer searches for financial advice is performing local marketing. Most branches are not doing any of this.

The pattern running through all four challenges is the same: location-level data that is fragmented, inaccurate, and disconnected from the platforms, intelligence layers, and AI systems that now shape how customers find and choose financial services brands.

Where Localistico comes in

Localistico is the leading local marketing, analytics, and visibility platform for brands with multiple physical locations. We help financial services companies increase footfall to their branches, optimise their online presence, and manage customer interactions across the entire local discovery ecosystem: Maps, Search Platforms, and AI-powered Assistants.

That covers everything from presence and discoverability, reputation management, and local insights — to store locator pages, Google Local Ads, and AI and Generative Engine Optimisation (GEO).

We are benchmarking digital presence across UK financial services brands. Happy to run a complimentary audit, no strings attached.