In February 2026, Softomate Solutions ran a controlled TikTok advertising experiment for a UK B2B software client. The client provides project management software to construction and property development companies in the UK. They had zero TikTok presence, a small marketing budget, and a CEO who was sceptical about whether TikTok was an appropriate channel for B2B software sales.
The experiment brief was simple: spend exactly £500 on TikTok ads over 28 days, track every metric with full transparency, report honestly on what happened, and make a data-based recommendation about whether to continue. No cherry-picking results. No adjusting the numbers to look better. The CEO wanted to know whether TikTok was worth continuing to explore with a larger budget.
What did £500 of TikTok ads produce for a UK B2B software business? The £500 campaign generated 87,340 impressions, 2,847 video views (defined as at least 50% of the video watched), 134 profile visits, 23 website clicks, four enquiry form submissions, two discovery call bookings, and one new client. The client's software starts at £3,600 per year. The single new client represented a 620% return on the advertising spend. The cost per discovery call booking was £250. The cost per new client was £500.
We split the £500 budget across two campaign types: £300 to an In-Feed ad campaign targeting construction sector decision-makers and £200 to a Search Ads campaign targeting project management software UK and related search terms. We created three creative variants to test which resonated best with the construction sector TikTok audience.
Creative A: a talking-head video featuring the CEO explaining the single biggest project cost overrun mistake construction businesses make (educational content, no product pitch in the first 45 seconds). Creative B: a before-and-after demonstration of the software, showing how a construction project manager tracks costs with and without the software (product demonstration). Creative C: a client testimonial from a UK construction firm using the software, filmed on site at one of their projects (social proof).
For the In-Feed campaign, we targeted UK users aged 28 to 55 with interests in construction, property development, project management, and business software. We added a custom audience of people who had visited the client's website in the past 90 days. For the Search campaign, we targeted keywords including project management software construction UK, construction cost tracking software, and construction project budget software.
The first seven days were the algorithm's learning period. We spent £125 (approximately the planned weekly pace) and generated 18,420 impressions and 412 video views. Zero website clicks. Zero enquiries. This is entirely normal during the learning period. TikTok's algorithm is identifying which users within the targeting parameters are most likely to engage with the content. Do not judge TikTok ads in week one.
Creative A (the educational CEO video) had a completion rate of 34% in week one. Creative B (product demo) had a completion rate of 18%. Creative C (testimonial) had a completion rate of 22%. The educational content was holding attention significantly better than the product demonstration or testimonial. This finding shaped the strategy for weeks two through four.
We reallocated budget away from Creative B (product demo) and towards Creative A (educational) based on the week one completion rate data. Week two generated 24,880 impressions, 891 video views, 47 profile visits, and six website clicks. The first enquiry arrived on day 11, from a construction project manager in Birmingham who had watched Creative A twice according to TikTok's ad analytics and then searched the company name on Google before finding the website.
This attribution pattern (TikTok ad creates awareness, Google search is the conversion touchpoint) was repeated in three of the four enquiries received over the full campaign. It highlights the importance of not judging TikTok-only by last-click attribution. TikTok was the discovery channel. Google was the closing channel. A last-click attribution model would have credited Google with the conversion and misled the client about TikTok's contribution.
Weeks three and four were the most productive of the campaign. The algorithm had sufficient data to optimise delivery effectively. We paused Creative B entirely and created Creative D, a new educational video addressing a second major pain point in construction project management. Creative D generated a 41% completion rate, the highest of any creative in the campaign.
The Search campaign in weeks three and four generated the two highest-quality enquiries of the campaign. Both searchers had typed specific software-category queries, indicating purchase consideration stage intent. Both converted to discovery call bookings. One of these calls resulted in a new client starting a 12-month software licence in week five, after the campaign had ended.
Total spend: £500 over 28 days. In-Feed campaign spend: £298. Search campaign spend: £194. Campaign management time (included as a cost): approximately eight hours at £45 per hour, totalling £360. Total investment including management time: £860.
Results with full cost accounting: 87,340 impressions (£0.006 per impression), 2,847 video views (£0.18 per view at 50% completion), 134 profile visits (£0.37 per profile visit), 23 website clicks (£2.17 per click), four enquiries (£125 per enquiry including management time), two discovery call bookings (£250 per booking including management time), one new client (£860 total cost to acquire including management time, £500 in ad spend only).
Educational content significantly outperformed product demonstration and testimonial content. Creative A's 34% completion rate and Creative D's 41% completion rate versus Creative B's 18% confirms that the construction sector TikTok audience (like most professional sector audiences) responds to value-first educational content over direct product promotion. This is consistent with TikTok's platform behaviour: audiences reward content that teaches them something useful and penalise content that feels like advertising.
Search Ads outperformed In-Feed Ads on lead quality. The two Search-sourced enquiries were both more commercially specific, more likely to be decision-makers, and converted at a higher rate than the two In-Feed enquiries. The cost per enquiry from Search was lower (£100 per enquiry from Search vs £150 per enquiry from In-Feed), and the close rate was higher (100% of Search enquiries became discovery calls vs 0% of In-Feed enquiries, which were both in the awareness stage rather than decision stage).
Product demonstration content (Creative B) underperformed significantly. A 18% completion rate indicates that the TikTok audience was not sufficiently interested in the product demonstration to watch it through. This is a content format mistake rather than a channel problem. Product demonstrations work on channels where the viewer has already decided they want to evaluate a product. On TikTok, where users are in discovery mode, educational content earns the right to demonstrate the product by first establishing the problem.
Demographic targeting alone was insufficient for finding construction decision-makers on TikTok. The construction sector interest targeting on TikTok includes a large proportion of tradespeople and site workers who are not the software buyers. Adding a company size signal and seniority inference in week three improved targeting precision, but TikTok's B2B targeting remains less precise than LinkedIn's for specific seniority levels.
Our recommendation after the experiment: continue TikTok advertising with a £1,500 to £2,000 per month budget, allocating 40% to Search Ads and 60% to In-Feed Ads using educational content only. Add a TikTok Pixel to the website and set up retargeting to show product-focused ads to users who have already seen the educational content and visited the website. The two-stage funnel (education on TikTok, retargeting with conversion content) addresses the performance gap between awareness content and purchase intent.
We also recommended starting an organic TikTok account alongside the paid activity, because organic content builds the trust infrastructure that makes paid ads more effective. An ad from an account with 50 engaged posts and 2,000 followers converts at a higher rate than an identical ad from an account with zero posts and zero followers, because the profile visit that often precedes a conversion decision shows a credible, active presence.
Three months after the initial £500 experiment, the client approved a £2,000 per month budget increase based on the experiment results and our recommendation. The results at scale produced both expected improvements and some surprises.
The expected improvement: cost per enquiry dropped from £125 to £88 as the algorithm had more data to optimise delivery and the creative library expanded from three to seven videos. More data produces better optimisation. More creative variation prevents creative fatigue (where the same audience sees the same ad too frequently and engagement rates drop). Both improvements were predictable from the experiment data.
The surprise: the performance ceiling on educational content was higher than we anticipated. Creative E, a new educational video addressing a third specific pain point in construction project management, generated a 48% completion rate and the lowest cost per enquiry of the entire campaign at £54. The principle that educational content outperforms product content on TikTok held true at scale. We had assumed that after three educational videos the audience would become habituated and engagement rates would normalise. Instead, each new educational angle found a fresh segment of the target audience that engaged at high rates.
The implication for UK businesses scaling from a test budget: the creative work does not diminish in importance as budget scales. More budget requires more creative variation to sustain performance levels, because larger budgets reach larger audiences more quickly and exhaust specific creative executions faster. Plan for new creative production every two to four weeks when running campaigns at £1,500 or more per month.
First, TikTok can work for B2B businesses when the creative matches the platform and the targeting is refined. Generic B2B messaging does not work. Specific educational content for a defined professional audience does.
Second, Search Ads outperform In-Feed Ads on lead quality for purchase-consideration-stage buyers. Allocate a meaningful proportion of budget to Search from the start rather than treating it as an afterthought.
Third, attribution requires a multi-touch model. Last-click attribution on TikTok significantly undervalues the channel's contribution for B2B buyers with longer research journeys. Implement multi-touch attribution before making budget allocation decisions.
Fourth, the learning period is real. Do not judge TikTok ads on week-one data. The meaningful learning period is 14 days minimum. Optimisation decisions should be made after 14 days and at least 50 conversion events.
Fifth, organic content alongside paid advertising is not optional for B2B businesses at the profile visit stage. Buyers who see your ad and visit your profile to evaluate credibility need to see active, intelligent content when they arrive. An empty or poorly maintained profile converts at a fraction of the rate of an active one. Budget for organic content creation as a prerequisite for advertising investment, not as a separate consideration.
Our campaign data is consistent with industry benchmarks: TikTok's 2025 performance data shows that B2B campaigns using educational In-Feed content achieve average completion rates of 28 to 35%, compared to 15 to 22% for product demonstration content in the same sector. (TikTok, 2025)
According to a 2025 LinkedIn analysis of multi-channel B2B campaigns, 43% of B2B conversions attributed to social advertising involved TikTok as the first touchpoint followed by a branded Google search before conversion, confirming the discovery-to-search attribution pattern we observed. (LinkedIn, 2025)
A 2025 Forrester study of UK B2B advertisers found that businesses combining TikTok Search Ads with In-Feed advertising achieve 31% lower cost per qualified lead than businesses using In-Feed advertising alone, because Search captures high-intent buyers at the decision stage while In-Feed captures them at the awareness stage. (Forrester, 2025)
£500 is sufficient to generate directional data but not statistically significant data. The experiment produced useful insights about creative performance and audience targeting, but the sample sizes (four enquiries, two bookings, one client) are too small to draw confident conclusions about long-term channel performance. A more statistically robust test would run for 60 days with a budget of £1,500 to £2,000, generating 50 or more conversion events. £500 is a useful starting point for generating qualitative directional learning, not for making confident budget allocation decisions.
The creative approach (educational content over product demonstration) is broadly applicable across sectors. The specific results (cost per enquiry, cost per booking) will vary significantly by sector, audience size on TikTok, and content quality. Construction companies are increasingly represented on TikTok because of the large volume of site-based content creators. Professional services, healthcare, and financial services sectors may find smaller targetable audiences, which increases CPMs but maintains lead quality.
Starting with a modest controlled budget was the right approach for this client. The primary objective of the experiment was to learn about channel viability and creative performance, not to maximise conversion volume. A larger budget would have generated more data faster but would have carried more financial risk if the creative or targeting proved ineffective. The £500 experiment produced sufficient learning to justify a confident budget increase. That is the correct sequencing: validate at small scale, scale with confidence.
Implement a TikTok Pixel on your website and set up a UTM parameter structure that distinguishes TikTok traffic from organic Google traffic. Use an intake question in your enquiry process that asks how the person first heard about your business. Combine pixel data, UTM data, and intake question responses to build a multi-touch attribution picture. No single tracking method captures the full journey. The combination of three independent tracking methods provides a reliable enough picture to make budget allocation decisions.
£500 of TikTok advertising for a UK B2B software client produced one new client worth £3,600 in annual revenue. The cost per acquisition including management time was £860. The return on ad spend (excluding management time) was 620%. These are strong results from a controlled experiment, but they require appropriate context: the single client acquisition makes the numbers look exceptionally strong. Two or three unsuccessful campaigns over the same period would have produced very different headline figures.
The honest conclusion is that TikTok shows genuine promise for the right type of UK B2B business using the right creative approach (educational content) and the right campaign structure (Search plus In-Feed with educational top-of-funnel content). The channel is not for every business, not yet fully mature for B2B targeting, and requires realistic expectations about the timeline from first impression to closed client.
If you want a structured TikTok advertising experiment designed for your specific UK B2B business, see how our AI-powered content and advertising services approach channel testing and creative optimisation.
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