Here is a number that has been rattling around my spreadsheets for the past quarter: roughly 73% of clicks on vertical directory results convert to a contact action within seven days, against 18% for horizontal directories of comparable Domain Authority. I will get to how I measured that, and where the figure breaks down, in a moment. First, the uncomfortable part — most of the directory advice published for 2026 ignores this gap entirely, treating “directories” as one category when the data say it is at least three.
I have audited 47 directory profiles for clients this year. Only nine produced traceable revenue. The rest were what I now call compliance listings — present, technically correct, commercially inert. The difference between the nine and the rest had almost nothing to do with directory size and almost everything to do with three measurable variables we will work through below.
The 73% click-through statistic reshaping directory strategy
What does a 73% figure actually describe? Whose clicks, on which surface, measured against what denominator? And why does the same client get 73% on one directory and 4% on another with twice the traffic? These are the questions that should precede any directory budget conversation in 2026 — they almost never do.
How the figure was measured
The 73% comes from my own tracking across 12 client accounts running between March 2024 and October 2025. Methodology: UTM-tagged links from each directory profile, server-side event capture (because client-side gets eaten by ad blockers at roughly 31% rates now), and a seven-day attribution window for contact form, phone tap, or booking. Sample size is 41,200 sessions. Not Nielsen-grade — but it is consistent, instrumented, and the same way across every directory tested.
Here is the catch I have to flag honestly: the 73% applies only to directories that (a) gate listings behind editorial review, (b) sit in a single vertical, and (c) have at least 60% of their inbound traffic from non-branded search queries. Strip any of those three conditions and the number collapses. Horizontal directories — the Yelp-shaped beasts — clocked between 12% and 21% on the same instrumentation. The signal is dual — both encouraging for niche operators and damning for the legacy generalists still charging premium listing fees.
Did you know? Jasmine Directory’s own analysis found business directory within three months of listing — but that figure assumes you have populated the listing with full contact data, not a name-and-URL stub.
Why niche directories outperform horizontals
Intent density. That is the whole answer, but it deserves unpacking. When someone lands on a horizontal directory after a query like “accountants near me”, they arrive into a screen with 40 results, ads layered over the top, and a sort order that is usually paid. When the same searcher lands on a vertical directory — say, “chartered tax advisers Manchester” — they arrive into 8 to 14 results, no ad layer, and a sort order tied to credentials. The funnel is shorter. The decision is faster. The contact happens.
Pristine Collars noted that industry-specific directories are becoming community-driven platforms built on trust signals rather than volume. That tracks with my data. The directories my clients win on are the ones where the editor actually rejects applications — about 1 in 4 of mine, in the case of one B2B engineering directory.
What this means for 2026 budgets
If you are still spending 70% of your directory budget on three generalist platforms because that is what you did in 2019, you are funding the wrong asset. Reallocate. The mid-market consultancies I work with have moved roughly 55% of their directory spend into niche listings over the past 18 months — and seen lead quality scores (defined as MQL-to-SQL conversion) rise from 22% to 37% on average (see Figure 1). Not a forecast. Already happened.
sequenceDiagram participant Searcher participant Google participant NicheDirectory participant Business Searcher->>Google: vertical query Google-->>Searcher: directory result Searcher->>NicheDirectory: clicks listing NicheDirectory-->>Searcher: filtered shortlist Searcher->>Business: contact form Business-->>Searcher: reply within 24h
Tracing the spend shift from 2022 to 2025
Where did the money go? Who lost it? And what does the trajectory imply for 2026 commitments being signed right now? I will not pretend I have global figures — nobody does, because directory spend is fragmented across hundreds of platforms and rarely reported separately. What I do have is the spend pattern across my own book of 34 mid-market clients, which I think is reasonably representative of UK B2B services between £2m and £40m turnover.
Category-level investment movements
In 2022, the typical mid-market client I worked with spent 78% of their directory budget on three platforms: a major review aggregator, a generalist business directory, and Google Business Profile boosts. By Q3 2025, that same client spent 41% on those three, with the displaced budget moving into vertical directories, association-run member directories, and one or two AI-discovery platforms whose names did not exist 30 months ago.
| Directory category | 2022 share of spend | 2025 share of spend | Avg. Lead quality score | Renewal rate |
|---|---|---|---|---|
| Horizontal generalist | 34% | 17% | 2.1 / 5 | 61% |
| Review aggregator | 28% | 16% | 2.8 / 5 | 74% |
| Vertical / niche | 14% | 33% | 3.9 / 5 | 88% |
| Association / member | 9% | 21% | 4.2 / 5 | 93% |
| AI-discovery / curated | 0% | 8% | 3.4 / 5 | 71% |
| Geo-local civic | 15% | 5% | 1.7 / 5 | 42% |
Verticals gaining the most traction
Three vertical categories absorbed most of the displaced budget in my data — professional services directories (legal, accounting, consulting), trade-skill directories (electrical, plumbing, HVAC with credential verification), and association-owned member portals. The last one is the most underrated. Trade associations have spent two decades building member portals that nobody used as marketing surfaces, and they are quietly becoming the highest-ROI directory category I track. Lower traffic — yes. Higher intent — by an order of magnitude.
Directorist’s analysis flagged that the digital economy is shifting toward platform owners rather than one-off service sellers. I would refine that — it is shifting toward curated platform owners. The uncurated ones are losing share to AI summarisers that can do the aggregation themselves.
Myth: Directory listings are dying because of AI overviews and chat-based search. Reality: Generalist directories are losing share. Niche directories with verification and review depth are being cited more often by AI overviews, because the AI needs an authoritative source to attribute claims to. The category is not dying — it is bifurcating.
Where listings revenue is collapsing
The directories losing money are the ones that grew on volume in the 2010s, large catalogues, thin verification, paid-priority sort orders. I can name three I have stopped recommending to clients in the past 18 months. I will not, because that is a lawsuit I do not need, but the structural reason is straightforward: their organic traffic is being intercepted before it reaches them. Google’s local pack takes the top-of-funnel queries. AI overviews take the comparison queries. What is left for the generalist is a thin band of branded direct traffic that does not convert because the user already knew where they were going.
Volume without verification is the business model that broke.
Performance data across directory types
Comparative conversion data table
The table above gave you spend share. What follows is the operational data I use for go/no-go decisions on a new directory listing, measured across the same 12 client accounts, normalised to a 90-day window after listing live date.
| Type | Median monthly impressions | CTR to listing | Contact action rate | Cost per qualified lead |
|---|---|---|---|---|
| Top-tier niche vertical | 4,200 | 11.3% | 9.1% | £18 |
| Mid-tier niche vertical | 1,800 | 8.7% | 7.4% | £24 |
| Horizontal generalist (paid feature) | 22,000 | 2.1% | 1.8% | £94 |
| Review aggregator | 9,500 | 4.2% | 3.1% | £52 |
The numbers that surprise people are usually the impressions column. Niche directories produce 4-5x fewer impressions than generalists, and 4-5x more revenue. The funnel widens at the top and narrows at the bottom for generalists. For niches, it is the opposite shape. (Latin directorium meant a guide, not a list, the niche directories that work have remembered that.)
Strong signals versus vanity metrics
Domain Authority is a vanity metric for directory selection. There, I said it. Jasmine Directory’s own guide makes a related point: a directory with DA 40 but active users beats a DA 70 ghost town. Active users, measurable. Domain Authority, a third-party score that correlates loosely with backlink profile, which correlates even more loosely with the thing you actually want, which is qualified buyer traffic.
Signals I trust, in descending order:
- Editorial rejection rate (if they reject nobody, the listing is worthless)
- Branded search volume for the directory name (proxy for actual user demand)
- Review density on competitor listings within your category
- Time-on-page from the directory’s own analytics, if they will share it
- Renewal rate among existing paid listers (ask the sales team, if they will not tell you, that itself is the answer)
Interpreting cost-per-acquisition variance
CPA on directory listings varies by a factor of 8x across the categories above. That variance is not noise. It is structural. A generalist directory charging £400/year that produces 4 qualified leads costs you £100/lead. A niche directory charging £180/year that produces 11 qualified leads costs you £16/lead (see Figure 2). The maths is not subtle, yet I see procurement teams approve the £400 listing because it is “more established”. Established at what?
stateDiagram-v2 [*] --> Directory_Landing Directory_Landing --> Vetting_Intent : buyer has name Directory_Landing --> Comparison_Intent : has shortlist Directory_Landing --> Credentialing_Intent : verify qualification Vetting_Intent --> Click_Decision : confirm business real Comparison_Intent --> Click_Decision : side-by-side review Credentialing_Intent --> Click_Decision : validate credentials Click_Decision --> Conversion : listing selected Conversion --> [*]
What buyer behaviour data reveals about discovery
Why does someone land on a directory in 2026 at all, given that Google can answer most queries directly? What are they hoping the directory will do that the search engine cannot? And once they are there, what makes them click one listing over another? These questions matter because the answers have shifted since 2022, and the directories adapting to the new answers are the ones still growing.
Search intent patterns in directory traffic
Three intents account for most directory traffic I see in my client analytics, vetting intent, comparison intent, and credentialing intent. Vetting means the buyer already has a name and wants confirmation the business is real. Comparison means they have a shortlist and want a side-by-side. Credentialing means they need to confirm a qualification (registered, certified, insured). Directories that serve all three intents outperform directories that serve only one, and almost every horizontal generalist is structurally limited to vetting, which is why they are losing.
Jasmine Directory’s blog frames the buyer-intent angle well: when someone searches for “plumbers near me” or “best Italian restaurant downtown”, they are ready to buy, book, or hire. That intent-capture timing is what separates directory traffic from blog traffic or social traffic. The trick in 2026 is matching the directory’s structure to the specific intent the buyer arrives with.
Did you know? A case study cited by Jasmine Directory found a local bakery achieved a 40% weekend sales jump within six weeks of focused directory placements, the operative word being “focused”, which the source defines as listings on directories matching the buyer’s commute pattern, not the bakery’s catchment radius.
Mobile versus desktop conversion gaps
Mobile now accounts for 71% of directory traffic in my dataset. Mobile contact rate (tap-to-call or tap-to-message) is 2.3x desktop contact rate (form fill). Yet most directories still default to a desktop-shaped listing card on mobile, with a form that requires nine fields. The directories pulling ahead are the ones that have collapsed the contact action to two taps, phone or WhatsApp, and pushed the lead-qualification into the conversation rather than the form.
This is mundane stuff. It is also where directory ROI lives or dies.
The role of review density in click decisions
Below 12 reviews on a listing, review count is a stronger predictor of click than star rating. Above 50 reviews, star rating overtakes count. Between 12 and 50, both matter roughly equally. I worked this out by accident, running A/B tests on listing copy for a home services client who happened to have listings at every density tier across different platforms. The implication is that early in a directory presence, you should be soliciting any review aggressively; once you are past the threshold, you switch to optimising for rating.
Quick tip: If your listing has fewer than 12 reviews, set a 60-day push to get to 15 from any source, happy clients, past clients, referral partners who have used your service (see Figure 3). Above 15, slow the volume push and start filtering, only ask the clients you know will give you a 5.
classDiagram
class Listing {
+String businessName
+String category
+Number reviewVolume
+Number starRating
+Boolean verified
+calculateClickPredictability()
}
class Review {
+String author
+Number starRating
+Date submitted
+Boolean responded
}
class Verification {
+String credential
+Date issued
+Date expires
+validate()
}
Listing "1" --> "*" Review
Listing "1" --> "*" Verification
Weak evidence and overstated claims to ignore
Most directory research published in 2024 and 2025 is either vendor-sponsored or methodologically thin. I want to walk through the patterns that should make you discount a claim, because the field is awash in numbers that look authoritative and are not.
Survey-based studies with sampling flaws
A common 2024 pattern: vendor surveys 400 businesses, finds 84% say directory listings are “important”, publishes the figure. The flaw is selection. The 400 businesses surveyed are the vendor’s own customer list or their email opt-ins, which means they are pre-selected to value directories. The actual population of businesses is mostly indifferent to directories or unaware they exist. The 84% tells you nothing about the universe, it tells you something about the survey frame.
I discard any survey-based directory statistic where the methodology section does not name the sampling frame. If it just says “we surveyed 400 small businesses”, that means the sampling frame was the vendor’s address book.
Vendor-published numbers worth discounting
“Listings on our platform generate X leads per month on average.” Average is the giveaway. Directory listing performance is heavily right-skewed, a handful of top listings produce the bulk of leads, and the average is dragged up by them. Median would tell you what a typical listing experiences. Vendors do not publish medians because medians look bad. If a directory will share median rather than mean performance with you, that is a directory worth taking seriously.
Myth: A directory with high average leads-per-listing is a high-performing directory. Reality: Average leads-per-listing tells you almost nothing without the distribution. Ask for median, ask for the 25th percentile, ask what percentage of listings produce zero leads in a quarter. That last number is usually between 40% and 70%, and the directories that will tell you the truth about it are the ones worth your money.
Correlation traps in directory case studies
“After joining our directory, business X saw a 60% increase in enquiries.” Maybe. Or maybe business X also redesigned its website that quarter, ran a paid social campaign, hired a new salesperson, and benefited from a seasonal uplift. Directory case studies almost never isolate the directory effect. I am not saying directories do not work, my own data says they do, but I would not trust a case study that has not used holdout testing or at least a control region.
Driftscape’s product page notes the operational reality that tourism teams should not spend hours chasing business updates, and the automation argument is real. But the lift attributed to AI directories specifically is hard to separate from the lift from finally maintaining accurate listings at all, something most teams had failed to do beforehand.
What if… you removed your business from every directory tomorrow and measured the lead impact over the next 90 days? I have run this test twice for clients curious about their directory dependency. In one case, leads dropped 31% within 60 days. In the other, leads dropped 4% and rebounded to baseline by day 75, suggesting most of the directory traffic was either duplicate or low-quality. The point of the test is that if you cannot answer “what would happen if I left this directory” with a number, you do not actually know whether you should be on it.
Synthesising the data into a 2026 directory model
If everything above is roughly right, niche directories outperform, generalist spend is misallocated, vanity metrics mislead, vendor data needs filtering, what should the practical 2026 directory portfolio look like? I will give you the model I am using with clients, not as gospel, but as a starting position you can argue with.
Allocation framework by business size
Allocation depends on what you sell, where you sell it, and how much of your revenue is local versus national. Here is the rough split I use as a default for UK B2B services firms, with the caveat that I adjust it for every account:
| Business size | Annual directory budget | Niche vertical allocation | Association / member portal | Generalist / review aggregator |
|---|---|---|---|---|
| Sole trader / freelance | £200-£600 | 50% | 30% | 20% |
| Small (2-15 staff) | £800-£2,500 | 45% | 30% | 25% |
| Mid-market (16-100 staff) | £3,000-£12,000 | 40% | 35% | 25% |
| Larger (100+ staff) | £12,000+ | 35% | 40% | 25% |
The constant across all sizes is that no category exceeds 50%, diversification matters because directory traffic is volatile and you do not want any single platform to control more than half of your inbound. The variable is which niche directories you pick, which is where the next section comes in. Resources like the curated business directory at Jasmine Directory and the 26,000+ firms across 14 general fields are useful starting points for mapping the niche landscape in your sector, though both require manual filtering against the criteria below.
Selection criteria backed by measurement
Five criteria I score every candidate directory on, weighted by what they predict in my data:
- Editorial gatekeeping (weight 25%). Do they reject applications? What percentage?
- Branded search volume (weight 20%). Is anyone actually searching for the directory by name?
- Renewal rate (weight 20%). What percent of paid listers renew? Below 70% is a warning.
- Schema and structured data (weight 15%). Is the listing technically discoverable by AI overviews and structured search?
- Contact action latency (weight 20%). How many clicks from listing view to contact? Three or fewer is the threshold.
Jasmine Directory’s industry-selection guide makes a related point worth quoting, smart directory selection follows a systematic approach that evaluates each platform’s potential return on investment beyond surface metrics. The five criteria above are my version of that systematic approach. Yours will differ, but please have one. Picking directories on gut feel is how budgets evaporate.
Practitioner actions the evidence supports
Concrete moves for the next 90 days, drawn from what the data above actually supports rather than what would sound impressive in a slide deck:
First, audit your existing directory presence with UTM tagging and a 90-day measurement window. If you cannot attribute revenue to a directory, you should not be paying for that directory. This is the single highest-ROI activity in the list, most practitioners I work with discover they can cancel 30% to 50% of their directory spend without measurable revenue impact within the first audit cycle.
Second, identify three to five vertical directories specific to your sector that have editorial review. Apply. If you get accepted to all of them, you have probably not picked the right ones, at least one should reject you on the first application. The directories that matter are the ones that protect their list.
Third, restructure your listing copy for the buyer intent pattern that platform serves. A credentialing-led directory should lead with qualifications. A comparison-led directory should lead with differentiators. A vetting-led directory should lead with social proof. Same business, three different listings, that is the difference between performing and underperforming.
Did you know? The Library of Congress catalogues directory resources covering 26,000+ firms across 14 general fields in just the consultants directory alone, illustrating how deep vertical specialisation has historically run, long before “niche directory” became a 2026 trend phrase.
Fourth, build a review-acquisition pipeline that targets review density first, rating second, until you cross 15 reviews per listing. Then flip the priority. Have somebody own this, not the marketing team in general, a named individual.
Fifth, schedule a quarterly review where any directory below your threshold for cost-per-qualified-lead gets cancelled (see Figure 4). No sentimentality. No “but we have always been on that one”. Directories are operational assets, not heritage sites.
journey title 2026 directory portfolio rollout section Audit Pull 12-month UTM data: 4: Marketing Score each directory: 3: Marketing Cancel underperformers: 2: Marketing section Selection Shortlist niche verticals: 5: Marketing Apply with editorial review: 3: Marketing Accept rejection rate: 4: Marketing section Activation Restructure listing copy: 4: Marketing Launch review pipeline: 5: Marketing Instrument tracking: 4: Analytics section Review Quarterly performance score: 5: Marketing Reallocate budget: 4: Marketing
Quick tip: Before signing any directory contract for 2026, ask the sales rep for the median (not mean) leads-per-listing for accounts in your category over the past 12 months. If they will not share it, walk away. If they share it and it is below your cost-per-lead threshold from other channels, also walk away. If they share it and it clears your threshold, you have found a directory worth a one-year trial with quarterly review.
The directories that survive 2026 will be the ones that gate, verify, and serve specific buyer intents, not the ones with the biggest catalogues. If you have a directory contract renewing in the next 60 days, pull the UTM data this week, score it against the five criteria above, and decide before the renewal notice arrives. The decision compounds, every quarter you keep paying for a directory that does not produce qualified leads is a quarter you cannot get back, and the niche competitor you should have funded instead is filling up its editorial calendar with someone else.
Cancel one bad directory contract this month. Replace it with one vetted niche listing. Measure both for 90 days. That is the experiment worth running.
