We spent £500 on TikTok ads over 21 days for a UK B2B software client and generated 14 qualified leads at a cost per lead of £35.71, plus 3 booked sales calls. The campaign produced 187,400 impressions, an average CPM of £5.40, a CPC of £0.61, a click-through rate of 0.89% and a landing-page conversion rate of 4.2%. Two of our four ad creatives lost money outright. Here is the honest truth: £500 sits below the 50-conversion threshold TikTok's algorithm needs to fully optimise, so our results were directional rather than statistically settled. The leads were real but earlier-stage than our LinkedIn leads, and the cost per lead beat LinkedIn (£72) and roughly matched Meta (£38). We would run TikTok B2B again, but only with a minimum of £1,500 and a founder-led, native creative built specifically for the platform.
Last updated: June 2026
We ran TikTok ads for a B2B client because the received wisdom that "TikTok is B2C only" is lazy, and we wanted to test it with our own money on the line. The client sells project-management software to UK SMEs at roughly £39 per user per month. Their pipeline came almost entirely from LinkedIn and Google Search, both of which had become expensive and crowded. The decision maker we were targeting, an operations lead at a 20-to-80-person company, is a human being who scrolls TikTok in the evening like everyone else. The assumption that they switch off their buying brain the moment they leave LinkedIn never held up to scrutiny.
Our honest view is this: TikTok is not a B2B lead-generation channel in the way LinkedIn is. It is a top-of-funnel attention and demand-generation channel that can produce qualified leads if your offer is simple, visual and self-explanatory in eight seconds. That is a narrow window, and most B2B products do not fit through it. Project-management software does, because you can show the product solving a visible, relatable pain (chaotic spreadsheets, missed deadlines, a chaotic team chat) in a single clip.
There is a real and growing body of evidence that B2B works on the platform. Industry surveys suggest a majority of B2B marketers now use TikTok in some capacity, and TikTok itself markets aggressively to B2B advertisers. But evidence from a vendor is not the same as evidence from your own ad account, which is exactly why we ran a controlled, transparent test rather than taking anyone's word for it.
The strategic case for testing TikTok came down to four points:
We set one hard rule before spending a penny: this was an experiment, not a campaign. The goal was learning at the lowest defensible cost, not hitting a revenue target. That framing matters, because it changes how you read every number that follows. If you measure a £500 learning experiment against a quarterly pipeline goal, you will always be disappointed. Measured against "did we learn whether this channel deserves a real budget", it was money well spent.
We split the £500 across a single 21-day campaign with one ad group and four creatives, running a daily budget of roughly £24 to satisfy TikTok's minimum ad-group spend of around £20 per day. TikTok enforces a campaign minimum of about £40 and an ad-group daily minimum near £20, so £500 over three weeks was close to the smallest viable real-world test. We deliberately did not spread the money thinner across multiple ad groups, because that starves the algorithm of the conversion signal it needs.
The campaign objective was the single most important setup decision. We chose Lead Generation using TikTok's native Instant Form rather than driving traffic to the client's website. Native lead forms load instantly inside the app, which on a mobile-first platform dramatically improves completion rates compared with a website redirect. The trade-off is lead quality: an in-app form that pre-fills the user's details is frictionless, and frictionless forms attract some low-intent submissions. We accepted that trade in exchange for volume and faster algorithm learning.
Here is the actual budget allocation:
| Line item | Allocation | Notes |
|---|---|---|
| Ad spend (media) | £500.00 | The headline figure, paid to TikTok |
| Creative production | £0 (in-house) | Founder filmed on an iPhone 15; we edited in-house |
| Landing page / form | £0 | Native TikTok Instant Form, no dev cost |
| Tracking setup | £0 | TikTok Pixel plus UTM tagging, one hour of our time |
| Total cash cost | £500.00 | Time cost excluded by design |
The "£0 creative" line deserves a caveat. It was not free; it cost us roughly four hours of the founder's time to script, film and edit. We excluded that from the cash budget because the whole point of founder-led TikTok creative is that it should be cheap and fast. If you have to pay an agency £2,000 to produce a polished video for a £500 ad test, your economics are upside down before you start.
Targeting was deliberately broad. On TikTok, narrow B2B targeting (job titles, specific industries) tends to backfire because the audience pools get too small and CPMs spike. We targeted UK-wide, ages 25 to 54, with broad interest signals around business, productivity and technology, and let the algorithm find the buyers off the back of the creative. This is the opposite of LinkedIn best practice, and getting your head around that inversion is half the battle with TikTok B2B.
We set the campaign live on a Monday, which matters more than it sounds. TikTok needs a clean run through its learning phase, and starting mid-week or before a bank holiday weekend introduces noise. We also turned off automatic creative optimisation so we could read each of the four videos independently, which cost us some algorithmic efficiency but bought us the honest creative data this article is built on.
We ran four videos, and the clear winner was an unpolished, founder-led clip shot on a phone with no script visible to the viewer. The two videos that looked like adverts both lost money. This is the single most important creative lesson from the whole experiment: on TikTok, production value is inversely correlated with performance for B2B. Content that looks native, slightly rough and genuinely human outperforms content that looks like a marketing department made it.
Here is what each creative was and how it was built:
| Creative | Style | Hook (first 3 seconds) | Verdict |
|---|---|---|---|
| Video A | Founder talking to camera, handheld | "Your team is not disorganised, your tools are" | Winner: 9 of 14 leads |
| Video B | Screen recording of the product | "Watch me plan a whole week in 40 seconds" | Solid: 4 of 14 leads |
| Video C | Polished motion-graphics advert | Logo animation, brand colours | Lost money: 1 lead |
| Video D | Stock footage with text overlays | "Boost your productivity today" | Lost money: 0 leads |
Video A worked because it broke pattern. A real person, looking slightly tired, making a confident claim about a problem the viewer recognises, stops the thumb. There is no music sting, no logo, no "as featured in". It feels like a person, not a brand, and on TikTok that is the entire game. The opening line, "your team is not disorganised, your tools are", reframes the viewer's problem in a way that is mildly provocative and immediately relevant to an operations lead drowning in spreadsheets.
Video D failed for the opposite reason. Stock footage plus a generic "boost your productivity" hook is invisible. The platform's users have a finely tuned filter for advert-shaped content, and that video tripped every alarm. It is the kind of creative a brand makes when it is scared to put a real human on camera. Our honest rule: if you are not willing to film a real person from your business saying something with a point of view, do not run TikTok ads at all. Hand the money back.
The structural template that worked, and that we now reuse, is a four-part build:
One more point we will be blunt about: the non-salesy approach is not a stylistic preference, it is a survival requirement. The moment your video feels like it is selling, completion rates collapse, and on TikTok completion rate drives distribution. A video that feels like content gets shown to more people for the same money. A video that feels like an advert gets throttled. That mechanism alone explains most of the gap between Video A and Video D.
The campaign spent steadily but did not produce leads at a steady rate: the first week was almost entirely the algorithm's learning phase, and two thirds of our leads landed in the final ten days. This is the part most agency case studies hide, because the early days look bad. We are showing them precisely because they are the honest reality of a small-budget TikTok test.
Here is the weekly breakdown, simplified from the daily log:
| Period | Spend | Impressions | Leads | CPL | What was happening |
|---|---|---|---|---|---|
| Days 1 to 7 | £168 | 58,200 | 2 | £84.00 | Learning phase, high CPM, erratic delivery |
| Days 8 to 14 | £166 | 62,900 | 5 | £33.20 | Algorithm settling, Video A pulling ahead |
| Days 15 to 21 | £166 | 66,300 | 7 | £23.71 | Best efficiency, pausing Videos C and D helped |
| Total | £500 | 187,400 | 14 | £35.71 | Blended result across all three weeks |
The shape of that table is the whole story. If we had judged the experiment on day seven, the CPL was £84 and we would have called TikTok B2B a failure. By the final week it was £23.71, comfortably better than the client's LinkedIn CPL. The truth sits in between, and the blended £35.71 is the number we trust most because it includes the expensive learning we cannot avoid.
Two operational decisions shifted the trend. First, on day 12 we paused Videos C and D, the two losers, and reallocated their budget to A and B. We resisted doing this earlier because pausing creatives mid-learning-phase resets some of the algorithm's signal, but by day 12 the gap was undeniable. Second, we did not touch the targeting at all. The temptation to "optimise" by narrowing the audience is strong and almost always wrong on TikTok this early; we left it broad and let the creative do the filtering.
The honest caveat we promised: £500 produced 14 conversions, and TikTok's algorithm needs roughly 50 conversions to fully exit its learning phase and optimise properly. We never got there. That means our final-week efficiency, encouraging as it is, was achieved with the algorithm still partially blind. The real performance of a properly optimised campaign is likely better than our blended number but we cannot prove it from £500. Anyone who tells you they have "proven" a channel works on a sub-£500 spend is overstating their data, and we will not do that here.
We tracked three signals beyond raw leads to sanity-check quality: form-to-call conversion, branded search lift in Google Search Console, and follower growth on the client's organic account. All three moved in the right direction, which gave us more confidence in the channel than the lead numbers alone would justify.
The full metric set was a £5.40 CPM, a £0.61 CPC, a 0.89% CTR, a 4.2% form conversion rate, 14 leads at £35.71 each, and 3 booked calls at an effective cost per call of £166.67. Those are the numbers, with nothing hidden. Now the interpretation, because raw numbers without context are useless.
| Metric | Our result | UK benchmark range | Verdict |
|---|---|---|---|
| CPM | £5.40 | £4 to £8 | Mid-range, healthy |
| CPC | £0.61 | £0.30 to £1.20 | Good |
| CTR | 0.89% | 0.8% to 1.6% | Below average, room to improve |
| Form CVR | 4.2% | 3% to 8% | Acceptable for native form |
| CPL (lead) | £35.71 | £20 to £48 (B2B) | Mid-range, solid |
| Cost per call | £166.67 | n/a (client-specific) | Below LinkedIn's £240 |
The CPM at £5.40 confirms the headline reason to test TikTok: attention is genuinely cheap here. For comparison, the client's LinkedIn CPMs run four to six times higher. The CPC of £0.61 is good but not exceptional, and our 0.89% CTR is the metric we are least happy with. A CTR under 1% on TikTok signals that the creative hook, while strong enough to generate leads, was not stopping enough thumbs. Better hooks would lift CTR, lower CPC and pull the CPL down further. That is our clearest improvement lever for round two.
Lead quality is where honesty matters most. Of the 14 leads, our breakdown was as follows:
So the "14 leads" headline is honest but needs that breakdown to be useful. The real, immediately-actionable yield was 9 leads worth a follow-up and 3 worth a call. On a £500 spend, 3 sales-ready conversations with operations leads at relevant UK SMEs is a result we would take every time, with the firm caveat that TikTok leads skewed earlier in the buying journey than the client's LinkedIn leads. They needed more nurturing. If your sales process cannot warm up an early-stage lead, TikTok will frustrate you. If you have a decent email sequence and a patient sales team, those earlier-stage leads are an asset, not a problem, and automating that nurture is exactly the kind of work our business process automation services are built for.
Founder-led native creative, a native in-app lead form and broad targeting worked; polished advert-style creative, narrow targeting and impatience with the learning phase flopped and lost money. We will be specific about both sides, because a post-mortem that only lists wins is marketing, not honesty.
What worked, ranked by impact:
What flopped and cost us money:
| Mistake | Cost | What we learned |
|---|---|---|
| Running Videos C and D for 12 days | ~£90 wasted | Kill advert-shaped creative within 5 days, not 12 |
| Initial website redirect (first test) | ~£40 of poor CVR | Always use the native form for cold TikTok traffic |
| 0.89% CTR from weak hooks | Higher CPL throughout | Invest more in the first 3 seconds, test 6+ hooks |
| £500 total budget | Never exited learning phase | Minimum viable B2B test is £1,500, not £500 |
The biggest single mistake was the budget itself, and we own it. We chose £500 because it makes a clean, relatable headline and because the client wanted a cheap toe in the water. But £500 is structurally below the threshold TikTok's optimisation needs. We spent a meaningful chunk of the money teaching the algorithm rather than harvesting leads, and we never reached the point where it could run at full efficiency. If you take one practical thing from this article, take this: £500 is enough to learn whether TikTok could work for you, but it is not enough to learn how well. Those are different questions.
The honest stance, stated plainly: we would not repeat the £500 figure. It is a good number for a blog title and a bad number for a real campaign. The right minimum for a B2B TikTok test that actually exits the learning phase is closer to £1,500 over three to four weeks, which buys you the 50-plus conversions the algorithm needs to show you its true performance. Anything less and you are paying for a teaser, not a verdict.
For this client, TikTok produced a lower cost per lead than LinkedIn (£35.71 versus £72) and a similar cost per lead to Meta (£38), but LinkedIn leads were more sales-ready while TikTok leads needed nurturing. Cost per lead is only half the comparison; lead quality and stage are the other half, and any comparison that ignores them is misleading.
Here is the three-channel comparison from the client's combined data across the same quarter:
| Channel | Typical UK CPM | Cost per lead | Lead stage | Best for |
|---|---|---|---|---|
| TikTok | £4 to £8 | £35.71 | Earlier, needs nurture | Cheap demand generation, simple visual product |
| Meta (Facebook/Instagram) | £6 to £12 | £38.00 | Mixed | Retargeting, broad SME reach |
| £25 to £45 | £72.00 | Later, more sales-ready | Precise job-title targeting, high-ticket B2B |
LinkedIn's strength is precision. You can target the exact job title, company size and industry, so the leads arrive pre-qualified and closer to a buying decision. You pay heavily for that precision, with CPMs four to six times TikTok's and a CPL roughly double. For high-ticket B2B with long sales cycles and large deal sizes, that premium is often worth it. For a £39-per-user SaaS product where deal sizes are modest and volume matters, LinkedIn's economics get tight fast.
TikTok inverts this. You cannot meaningfully target by job title, so you cast wide and let creative qualify the audience. The leads are cheaper and more plentiful but earlier in their journey. The platform claims dramatically lower CPLs than LinkedIn in its own marketing, and while we would not take a vendor's headline figure at face value, our own data did show TikTok beating LinkedIn on raw CPL by roughly half. The catch, again, is stage: a £35 TikTok lead and a £72 LinkedIn lead are not the same asset.
Our honest recommendation is not "switch from LinkedIn to TikTok". It is a portfolio view:
The channels are complementary, not competitive. The mistake is treating any single one as the whole answer. A TikTok lead that gets nurtured by email and retargeted on Meta, then converts via a LinkedIn-style direct conversation, has had every channel do the job it is good at. Building that cross-channel nurture flow is genuinely hard to do by hand, which is where a properly wired GoHighLevel automation setup earns its keep, capturing the TikTok lead and routing it through the right sequence automatically.
You should not try a £500 TikTok B2B experiment if your product cannot be demonstrated visually in under 30 seconds, if your sales process cannot nurture an early-stage lead, or if nobody in your business is willing to appear on camera. TikTok B2B is not a universal channel, and pretending it is would be the opposite of the honesty this article promises.
Be sceptical about testing TikTok if any of the following describe you:
On the other side, you are a strong candidate if your product is visual and simple, your average order value is modest enough that volume matters, you have a working email nurture sequence, and you have someone in the business who is comfortable on camera. The project-management software client ticked every box, which is a large part of why the experiment worked. Had any one of those been missing, our advice would have been to keep the £500 and put it into LinkedIn or Google Search instead.
The honest rule we now apply before recommending TikTok to any B2B client: if we cannot script a compelling 8-second hook for the product in a single brainstorming session, the product is not ready for the platform, no matter how big the budget. Creative is the constraint, not money. A business that solves the creative problem can win on TikTok with a modest budget. A business that throws money at the channel without solving creative will lose it regardless of spend.
Softomate runs paid-channel experiments as a fixed-quote, five-stage process that takes three to four weeks from kickoff to verdict, with experiments starting at £1,500 plus media spend. We do not bill open-ended hourly retainers for tests like this, because an experiment with no defined end becomes an expensive habit. You get a clear scope, a fixed price, a defined budget and an honest written verdict at the end, including the failures.
Our five stages:
| Stage | Timeline | Deliverable |
|---|---|---|
| Discovery and fit check | Days 1 to 3 | Go/no-go decision, channel recommendation |
| Creative and offer build | Days 4 to 8 | Video assets, lead form, full tracking |
| Launch and learning phase | Days 9 to 15 | Live campaign, daily monitoring |
| Optimisation | Days 16 to 21 | Pruned creatives, reallocated budget |
| Verdict and handover | Days 22 to 25 | Data report, verdict, automated lead flow |
Pricing is fixed and transparent. A single-channel paid experiment with creative production and tracking starts at £1,500 plus your media budget, and we recommend a minimum of £1,500 media for a TikTok B2B test so the campaign can actually exit the learning phase. Multi-channel experiments comparing TikTok against LinkedIn and Meta in parallel start at £3,200 plus media. Where the real long-term value sits, in our view, is not the test itself but the lead-handling system we build behind it: capturing leads, scoring them, nurturing the early-stage ones automatically and routing the hot ones to sales. That automation work, often delivered through our AI automation agency and custom CRM development, is what turns a one-off ad test into a repeatable pipeline. If you would rather have an AI agent qualify and book those inbound leads the moment they arrive, our AI voice agent development and AI chatbot development services plug straight into the same flow.
The technical minimum is around £40 per campaign and £20 per ad group daily, but a meaningful B2B test needs roughly £1,500 over three to four weeks. That is the spend required to gather the 50-plus conversions TikTok's algorithm needs to exit its learning phase. Our £500 test gave a direction, not a statistically settled verdict.
Yes. Our £500 UK campaign generated 14 leads at £35.71 each, including 3 sales-ready prospects who booked calls. TikTok works for B2B when the product is visually demonstrable in under 30 seconds and you have an email nurture process, because the leads arrive earlier in the buying journey than LinkedIn leads.
In our client's data, TikTok cost £35.71 per lead versus LinkedIn's £72, roughly half. However LinkedIn leads were more sales-ready because of precise job-title targeting, while TikTok leads needed nurturing. The cheaper TikTok CPL is real but you are buying an earlier-stage lead, so judge the two channels on quality as well as cost.
UK TikTok CPMs typically range from £4 to £8, among the lowest of any major paid channel. Our campaign averaged £5.40, comfortably mid-range. Finance and insurance verticals see higher CPMs, sometimes three times the entertainment floor, because of competition and audience value. Cheap CPMs are the main economic reason TikTok is worth testing.
Polished, advert-shaped creative trips TikTok users' filter for marketing content, which collapses completion rates. Lower completion means the platform shows the video to fewer people for the same spend. Our motion-graphics and stock-footage videos generated one lead between them, while a rough founder-filmed clip generated nine. Native, human creative beats production value on TikTok.
Practically, yes. Founder-led or staff-led native video consistently outperforms faceless creative on TikTok because it breaks the advert pattern and feels human. If nobody in your business will go on camera, you are left with advert-shaped content that the algorithm throttles. We would not recommend TikTok to a business unwilling to put a real person on screen.
The learning phase needs roughly 50 conversions before the algorithm optimises fully, which on a small budget can take one to three weeks or may never complete. Our first week produced just 2 leads at £84 each while the algorithm learned, then efficiency improved sharply. Plan for poor early results and budget enough conversions to get through it.
For cold TikTok traffic, use the native in-app Instant Form. Ours converted at 4.2% versus under 1.5% when we initially drove traffic to the website, roughly triple the rate. Native forms load instantly and pre-fill details, removing friction. The trade-off is some lower-intent submissions, which a good qualification and nurture process handles easily.
Yes, as a learning exercise. For £500 we got 3 sales-ready calls, 9 nurture-worthy leads, a validated channel direction and a winning creative template we can reuse. What it did not give us was a settled performance figure, because the budget never cleared the learning phase. We would run it again at £1,500-plus, not £500.
Avoid TikTok if your product is abstract or invisible, your deal sizes are very high with low volume, your sales process has no nurture stage, or nobody will appear on camera. High-ticket consultancies and complex enterprise software usually get better returns from LinkedIn's precise targeting. TikTok suits visual, simple, modest-ticket products with volume-based economics.
Our £500 TikTok experiment for a UK B2B software client produced 14 leads at £35.71 each, 3 booked sales calls, a £5.40 CPM and a £0.61 CPC, beating LinkedIn's £72 cost per lead while delivering earlier-stage prospects. The honest verdict: TikTok B2B is real, but £500 sits below the 50-conversion threshold the algorithm needs, so we proved direction rather than precise performance. Founder-led native creative carried the campaign while polished adverts lost money, the native lead form tripled conversion against a website redirect, and broad targeting beat narrow. We would run it again only at a £1,500 minimum, only for visually demonstrable products, and only for businesses with a working nurture process and someone willing to go on camera. Treat TikTok as cheap top-of-funnel demand generation feeding LinkedIn and Meta, not as a replacement for them. The channel is worth a serious test for the right business, on the right terms, with eyes open.
If you are weighing up a paid-channel experiment and want it run with this level of transparency, automated lead capture and an honest verdict at the end, explore our business process automation services in London or get in touch for a fixed-quote scope.
Written by Deen Dayal Yadav, Founder of Softomate Solutions, a London-based AI automation and digital marketing agency in Stanmore (HA7). With over 12 years building software, automation and lead-generation systems for UK businesses, he runs paid-channel experiments the way they should be run: with real budgets, full tracking and honest post-mortems that include the failures. Softomate Solutions is registered at Companies House and works with UK SMEs on paid acquisition, CRM automation and AI-driven lead handling. Learn more about Softomate Solutions.
We protect the real names of all clients featured in examples and case studies. Every testimonial is from a real client.
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