UK Financial Marketing Benchmarks
Range-based, percentile-derived CPL, CTR, CPM and conversion benchmarks across Meta, Google, Microsoft and LinkedIn for UK regulated financial advice niches. Every row is labelled with a confidence tier and a full methodology.
What are UK financial services marketing benchmarks?
Anonymised, percentile-derived ranges for cost per lead, CTR, CPM and conversion across UK regulated financial advice niches on Meta, Google, Microsoft and LinkedIn. Channel-level aggregate CPLs vary significantly by niche and platform: consumer mortgage niches tend toward the lower end of the range, high-value adviser intent niches toward the upper end. Every row is labelled Strong, Moderate or Directional based on sample depth and derivation path.
What is Financial Services Marketing Benchmarks?
Anonymised 20th-80th-percentile ranges for paid media performance across the regulated UK advice niches firms run campaigns in, with explicit confidence tiers, methodology, and published exclusions.
2026
UK Financial Lead Generation Intelligence Report
These benchmarks share methodology with the 2026 UK Financial Lead Generation Intelligence Report: metric-level ranges built from UK regulated-firm campaigns meeting the publication threshold across Google, Microsoft, Meta and LinkedIn, with outliers removed and a confidence tier assigned to every published row. Per-metric sample size is disclosed alongside each row.
Open the annual reportBenchmark reports
UK Financial Adviser Lead Generation Benchmarks 2026
Cost-per-lead, CTR and conversion ranges across the regulated advice niches UK IFAs most commonly serve, updated for 2026.
View benchmarksMortgage Broker PPC Benchmarks UK
Cost-per-lead and conversion benchmarks for UK mortgage broker paid campaigns across Meta and Google.
View benchmarksWealth Management Conversion Rates
Landing-page and lead-to-client conversion rates for UK wealth management campaigns.
View benchmarksAverage Cost Per Lead by Financial Sector
Side-by-side CPL comparison across every major UK financial services sector.
View benchmarksMicrosoft Ads Benchmarks for UK Financial Services 2026
CPC, CPL, CTR and CVR ranges for Microsoft Advertising across UK regulated financial services niches. Typically 20-28% below Google Search CPC with older, higher-income audiences.
View benchmarksHow these benchmarks are built
Every published row on this page follows the same set of rules. We publish these rules in full so you can stress-test any figure against how we derived it.
19 Oct 2024 to 19 Apr 2026 (rolling 18 months, UK)
United Kingdom (regulated financial services, FCA-authorised firms and their ad accounts)
Ranges represent the 20th to 80th percentile of eligible observations. We do not publish absolute min/max to avoid giving undue weight to single outlier months.
Observations are winsorised at the 5th and 95th percentile before range calculation. Single-account dominance (>40% of a category) disqualifies that category from publication.
A niche is published when (a) it rolls up to a parent platform aggregate with n >= 200 and the niche carries at least 10 independent observations, or (b) the niche itself carries at least 30 independent observations in the window. Rows below these thresholds are omitted rather than back-filled.
Where a niche has fewer than 30 independent observations, the row is marked "directional" and inherits its range from the parent platform aggregate. Bing and LinkedIn niche rows are always labelled "directional" given the smaller parent samples on those platforms.
One observation is an independent UK campaign (or ad account running a single campaign) that reported eligible spend and conversion events for at least 30 consecutive days within the window. A single adviser firm typically contributes several observations across platforms and campaign iterations; the total benchmark footprint reflects ~400 firms served globally with roughly 1,700 qualifying campaign observations inside the current 18-month window.
Quarterly (every 90 days). Platform aggregates are recomputed first; niche rows follow once the parent aggregate is signed off.
Excluded: brand-keyword-only campaigns, zero-conversion months, accounts with <30 days of data, accounts flagged for policy restrictions, any category where a single firm accounts for >40% of spend.
Notes. Benchmarks are planning ranges, not forecasts. Real campaign performance varies with offer, creative, landing page quality, compliance overlay, speed-to-lead, and geography.
Four row types, three confidence tiers
A pooled channel-level rollup (e.g. all UK advice on Google CPL). Best used for planning and top-down sizing. Large sample, low variance.
A specific niche measured directly. Robust for comparison but sample is niche-sized so treat the range seriously, not the midpoint.
A niche row modelled from the parent channel distribution using comparable niches and scaling factors. Reliable for sizing; not a single-niche measurement.
Shown for shape and relative comparison only. Do not use as a budget figure. Low sample or sparse measurement.
Use the range, not the midpoint. The lower bound reflects best-in-class; the upper bound reflects a properly-optimised account, not neglected spend. If your number is outside the range entirely, the first question is whether you are comparing like-for-like across platforms.
Aggregate and Observed rows are safe for planning. Grouped rows are safe for sizing but should be validated with a pilot. Directional rows inform strategy, not targets.
Headline numbers
Channel-level rollups across UK advice niches. Where a published aggregate exists it is shown as-is. Where one does not, we compute the 20th-80th percentile across underlying niches and label the tile as Computed.
Computed rollups use the same percentile logic described in the methodology panel; the underlying niche rows are all present in the explorer below.
Full benchmark explorer
852 published rows across 154 niches, 8 platforms and 16 segments. Composition: 23 aggregate · 42 observed · 220 grouped · 567 directional.
Ranges are 20th-80th percentile after winsorisation at 5th/95th. Single-account contributions above 40% of the niche pool are disqualified. All media costs are ex-VAT. Sample pools reflect the channel cohort from which the row is derived; confidence tier is the honest signal of row-level reliability.
What each metric actually measures
Precise definitions matter. A Meta CPL and a Google CPL are different animals; an MQL rate is not a client rate. Use this section to confirm like-for-like before comparing.
CPL
Cost per lead. Media cost divided by valid form submissions with contact details.
CPC
Cost per click. Media cost divided by ad clicks.
CPM
Cost per thousand impressions.
CTR
Click-through rate.
CVR
Conversion rate from click to valid form submission on the landing page.
Open Rate
Email open rate.
View Rate
YouTube view-through rate.
MQL Rate
Percentage of raw leads that meet marketing-qualified criteria.
MQL → Client
Percentage of MQLs that convert to paying clients.
Speed to Lead
Median minutes between lead submission and first adviser contact.
CAC Payback
Months required for client gross profit to cover acquisition cost.
Benchmarks FAQ
What does "sample size" (n=) mean on these benchmarks?
What is the difference between Aggregate, Observed, Grouped and Directional rows?
Why are Meta CPL figures so much lower than Google or LinkedIn?
Why do you publish ranges rather than a single number?
How often is this data refreshed?
Do these figures include VAT?
Why are some Wealth Management Meta figures not published?
What counts as "a lead" for CPL purposes?
How should I use these benchmarks if my CPL is higher?
Stress-test your own niche
Plug your spend, deal value and conversion into the same benchmark ranges with our Lead Forecast Simulator and see payback projections grounded in this dataset.