Financial Services · capability model · post-click conversion
Finance buys the second-best click in the market and converts it worst of all 23 industries
Finance and insurance search ads earn a 9.83% click-through rate, second highest of the twenty-three industries measured, and convert those clicks at 2.64%, the lowest of all of them. The whole loss sits after the click. This model spends there first.
9.83%
second highest of the 23 industries measuredPublished click-through rate, finance and insurance
Modelled figure — not a client result
2.64%
the lowest of the 23 industries measuredPublished conversion rate, finance and insurance
Modelled figure — not a client result
$74.44
at a $3.39 cost per clickPublished cost per lead, finance and insurance
Modelled figure — not a client result
6.3%
email 7.1%, referral 6.5%, paid search 6.3%, organic 5.4%Website conversion rate, finance
Modelled figure — not a client result
Modelled. Inputs: WordStream by LocaliQ, Google Ads Benchmarks 2026 (13,474 US search campaigns, April 2025 – March 2026); Ruler Analytics, Conversion Rate Benchmarks 2026 (110M+ sessions, 5M+ conversions); Charles Schwab, 2026 RIA Benchmarking Study (1,236 firms). Modelled outputs are not a forecast or a guarantee of results. Cited: WordStream/LocaliQ *2026 Google Ads Benchmarks* (23 industries).
At a glance
The engagement in brief
Services
- Paid Search
- Landing Pages
- CRO
- Booking Intake
- CRM
- Lead Routing
- Reporting
Stack
- Google Ads
- landing pages
- booking and intake
- CRM
- call tracking
- reporting
The situation
What we walked into
Finance and insurance is the only industry in the published set that sits near the top of one table and at the bottom of another. Click-through rate is 9.83%, second highest of the twenty-three industries measured, at a cost per click of $3.39. Conversion rate is 2.64%, last of the twenty-three, and cost per lead lands at $74.44. Read together those two figures describe a specific failure: the ad is doing its job, the searcher is interested enough to click, and then something between the landing page and the calendar loses almost everybody. Firms respond by rewriting ad copy, which is the one part of the funnel the data says is already working.
Finance earns the second-best click-through rate of twenty-three industries and the worst conversion rate of any of them. The ad is not the problem. Everything after it is.
What we found
The diagnosis
01
A high click-through rate with a low conversion rate is a promise the page does not keep
9.83% of people who see the ad click it and 2.64% of those do anything at all. That is not weak intent, it is a mismatch between what the ad implies and what the landing experience asks for. The gap is usually the ask itself: a search for fee-only advice nearby does not convert into a 45-minute discovery call form on a first visit.
02
Every channel converts better than paid search, including the free ones
The published all-channel conversion rate for finance is 6.3%, with email at 7.1%, referral at 6.5%, paid search at 6.3% and organic at 5.4%. Paid search sits mid-table on the site's own numbers while ranking last in the ad platform's. The difference between 2.64% and 6.3% is the page the ad points at.
03
Referral converts second-best and receives almost no build effort
Referral traffic converts at 6.5% and it is the one channel where an advisory firm already has an advantage it did not have to buy. The model treats the referral route as a designed page with its own copy and its own booking path rather than as the homepage.
04
The firms that grow fastest measure the enquiry, not just the client
In the published benchmarking study 70% of top-performing firms formally track client inquiries against 58% of all other firms, and those top firms report 12.4% client growth against 4.6%. Tracking the enquiry is the cheapest item on this list and the one most often skipped.
The number behind it
What this is built around
Finance & Insurance search CTR **9.83%** (2nd highest of 23) · conversion **2.64%** (lowest of 23) · CPC ~$3.39 · CPL ~$74.44.
What we built
The system
The model instruments the post-click path before it touches media. Phase one records what actually happens after the click: landing page by campaign, scroll and form-abandon behaviour, time to first human response, and the share of enquiries that reach a booked meeting. Phase two rebuilds the ask. Every campaign points at a page written for its own query rather than at a services page, the primary action becomes the smallest commitment that still qualifies — a fifteen-minute call, a fee explainer, a question answered by a named advisor — and the booking route works without a form for the people who would rather talk. Phase three adds referral and email as designed routes with their own pages, because those two convert best in the published data and are usually pointed at a homepage. Media scales last, on cost per booked meeting.
The sequence
How it was delivered
Weeks 1–2
Instrument the post-click path
Landing page by campaign, form abandon, time to first response, enquiry-to-meeting rate
Owner: OmniFlow
Weeks 3–6
Rebuild the ask
Query-matched pages, smallest qualifying action, call route that bypasses the form
Owner: OmniFlow
Weeks 5–8
Referral and email routes
Dedicated referral landing route, email programme pointed at its own page
Owner: OmniFlow
Weeks 6–9
Enquiry tracking in the CRM
Every enquiry recorded with source and outcome, reported monthly
Owner: OmniFlow + firm ops
Weeks 9–12
Scale media
Search scaled against cost per booked meeting, not cost per form fill
Owner: OmniFlow
Week 12
Review
Cost per enquiry, cost per booked meeting, enquiry-to-client rate
Owner: OmniFlow + firm
Outcome
What the model produces
At the published cost per lead of $74.44 and a 2.64% conversion rate, a campaign is paying for roughly thirty-eight clicks per lead at $3.39 each. The model reports two figures side by side that firms rarely see together: cost per lead as the ad platform calculates it, and cost per booked meeting as the calendar calculates it. Those two diverge by the whole width of the intake process, and only the second one is a business outcome. Every benchmark input is replaced by the firm's own baseline from week two, and no media decision is taken until the post-click numbers exist. Modelled outputs are not a forecast or a guarantee of results.
Modelled. Inputs: WordStream by LocaliQ, Google Ads Benchmarks 2026 (13,474 US search campaigns, April 2025 – March 2026); Ruler Analytics, Conversion Rate Benchmarks 2026 (110M+ sessions, 5M+ conversions); Charles Schwab, 2026 RIA Benchmarking Study (1,236 firms). Modelled outputs are not a forecast or a guarantee of results. Cited: WordStream/LocaliQ *2026 Google Ads Benchmarks* (23 industries).
Inputs
What the model is built on
Every figure below is published research, not a client result. They are the inputs to the arithmetic above, listed so it can be checked rather than taken on trust. The bracketed number points to the full citation at the end of this page.
9.83%
[2]Published click-through rate, finance and insurance
April 2025 – March 2026
2.64%
[2]Published conversion rate, finance and insurance
April 2025 – March 2026
$74.44
[2]Published cost per lead, finance and insurance
April 2025 – March 2026
6.3%
[1]Website conversion rate, finance
2026
The published figures, side by side
Rates share a 0–100% scale. Costs and counts are scaled against the largest value shown.
- Published click-through rate, finance and insurance[2]9.83%
April 2025 – March 2026
- Published conversion rate, finance and insurance[2]2.64%
April 2025 – March 2026
- Published cost per lead, finance and insurance[2]$74.44
April 2025 – March 2026
- Website conversion rate, finance[1]6.3%
2026
Run the model on your own numbers
Change the volume and the target rate. Everything else is held at the published benchmark above, so the output is arithmetic you can check rather than a claim.
Fixed inputs, from the research cited on this page:
$74 — Published cost per lead, finance and insurance[2]
3% — Published conversion rate, finance and insurance[2]
Media spend, unchanged
$2,233
People actually reached today
1
Reached after the fix
8
Gained on the same spend
+8
Cost per person actually reached falls from $2,820 to $266 — on identical media spend. The lead number does not move; the number of them you speak to does.
Arithmetic on the published inputs above. It describes what the model produces at those rates, not a forecast of any particular firm's result.
Reporting
What you would actually see
These are the surfaces this engagement is run and measured from, shown with representative figures built around the benchmarks cited on this page. Every account we run reports into views like these, and you keep ownership of all of them.
These are demo dashboards. They show the reporting surfaces this engagement is run and measured from, with representative figures generated around the published benchmarks cited on this page — not a client account and not a client result. Live reporting for your own account replaces every number here.
Google Analytics 4
Financial Services · all web data
Sessions
3,438
+79.1%
Key events
91
+98.9%
Session key event rate
2.6%
+0.7%
Engagement rate
56.1%
+6.6%
Sessions by month
Dashed line marks the month the engagement started.
| Session default channel group | Sessions | Key events | Rate |
|---|---|---|---|
| Organic Search | 1,300 | 45 | 3.5% |
| Paid Search | 992 | 27 | 2.7% |
| Direct | 559 | 20 | 3.6% |
| Referral | 342 | 10 | 2.9% |
| Organic Social | 246 | 5 | 2.0% |
CRM pipeline
Financial Services · inbound and outbound
Leads created
74
+52.8%
Qualified
39
+60.8%
Meetings booked
16
+63.4%
Answered on first attempt
74.2%
+14.2%
Leads created by month
Dashed line marks the month the engagement started.
| First-touch source | Leads | Qualified | Meetings |
|---|---|---|---|
| Google Ads — high intent | 23 | 12 | 5 |
| Organic search | 20 | 11 | 5 |
| Business Profile — call | 14 | 7 | 3 |
| LinkedIn outbound | 10 | 5 | 2 |
| Referral | 7 | 4 | 2 |
Method
How this is measured
Each figure on this page, the system it is read from, and the definition and window it is measured over.
| Figure | Read from | How it is defined | Status |
|---|---|---|---|
| Published click-through rate, finance and insurance | published benchmark | April 2025 – March 2026 | Published |
| Published conversion rate, finance and insurance | published benchmark | April 2025 – March 2026 | Published |
| Published cost per lead, finance and insurance | published benchmark | April 2025 – March 2026 | Published |
| Website conversion rate, finance | published benchmark | 2026 | Published |
Honestly
What we would do differently
Not applicable — this is a modelled engagement, not a delivered one. The model's weakest input is that the published finance and insurance category pools retail banking, insurance carriers, brokers and advisory firms, whose landing experiences and conversion actions have almost nothing in common. A single-office advisory firm's real conversion rate may sit well above 2.64% before anything is changed. The instrumentation phase exists to establish that number before any spending decision is made against the benchmark.
Evidence base
2 sources, 2 publishers
Full citations for everything cited on this page, with the sample and period each study covers, so you can go and read the original.
Published research
- [1]
Ruler Analytics, Conversion Rate Benchmarks 2026
110M+ sessions, 5M+ conversions
Supports: Website conversion rate, finance
- [2]
WordStream by LocaliQ, Google Ads Benchmarks 2026
13,474 US search campaigns, April 2025 – March 2026
Supports: Published click-through rate, finance and insurance · Published conversion rate, finance and insurance · Published cost per lead, finance and insurance
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