A lead form submission is not evidence of growth. For a B2B business with a limited sales team, a steady flow of enquiries can still mean wasted follow-up time, rising acquisition costs and little revenue to show for the budget. This improving lead quality case study looks at how an anonymised UK service business changed its paid media approach when lead volume was masking a more serious problem: too few enquiries were commercially viable.
The business was generating leads through Google Ads and Meta Ads, but its management team could not confidently answer three basic questions. Which campaigns produced opportunities? Which enquiries were unsuitable from the outset? And where was paid media budget being wasted?
The objective was not simply to lower cost per lead. It was to create clearer tracking, reduce avoidable sales-team workload and give more budget to the activity that was contributing to qualified pipeline.
The starting point: low cost per lead, poor sales outcomes
The business sold a specialist, higher-value service to UK companies. Its sales process involved a consultation before a proposal could be issued, so the difference between a contact and a genuine prospect mattered.
Platform reporting appeared positive. Google Ads was producing leads at a reasonable headline cost, while Meta Ads was generating even cheaper form submissions. Yet the sales team reported that many enquiries were from consumers, very small businesses outside the target profile, or people seeking services the company did not offer.
This is a common paid media reporting problem. Platforms can report form completions, calls and message starts accurately enough, but they cannot distinguish a valuable enquiry from an irrelevant one unless that information is returned through tracking or assessed in a disciplined lead-handling process.
The initial review found that every form submission was counted equally. A contact from a target company with an immediate requirement had the same value in reporting as a vague enquiry with no budget. As a result, automated bidding was being asked to find more of everything, including the leads the sales team did not want.
There were also structural issues. Search campaigns used broad themes without enough separation between high-intent service searches and early-stage research terms. Negative keyword management was inconsistent. On Meta, the lead form asked too little of the prospect, which helped conversion volume but gave unsuitable users almost no reason to self-qualify.
What the audit needed to establish
Before changing bids or adding exclusions, the team needed a reliable view of lead quality. The first priority was diagnosis rather than immediate optimisation.
A practical PPC audit examined the full path from click to sales outcome. This included campaign structure, keyword match types, search term reports, audience targeting, form completion tracking, call tracking and the way lead status was recorded in the client’s CRM.
The audit also separated problems that looked similar in platform data but required different actions. A campaign with a high cost per qualified lead may still be commercially worthwhile if it produces large opportunities. Conversely, a cheap campaign can be poor value if most submissions are uncontactable or ineligible.
The business agreed a usable qualification framework with its sales team. Leads were categorised as qualified, nurture, unsuitable or duplicate. A qualified lead had to fit the target customer type, be within the service area, need a relevant service and show a realistic level of intent. This was not designed to make reporting look better. It was designed to make reporting reflect how the business actually sells.
Finding the sources of wasted spend
The search term review exposed a familiar pattern. Some broad-match activity was bringing in relevant variations that had not been covered by existing keywords. It was also attracting informational searches, job seekers, DIY queries and searches for adjacent services.
The answer was not to remove broad match automatically. Used with appropriate conversion data, exclusions and campaign controls, it can help find demand that an exact keyword list misses. In this case, however, its role had expanded before the account had enough quality feedback to guide it.
Meta Ads presented a different issue. The targeting was not necessarily wrong, but the conversion event was too easy to complete. A short instant form created low friction and low commitment. That can be useful for awareness or lower-consideration offers, but it was poorly suited to a specialist service where the sales team needed context before investing time in a call.
The landing pages added further friction. Google Ads traffic was sent to pages that explained the offer but did not clearly state the ideal customer, the type of work covered or the minimum engagement criteria. Prospects had to infer whether they were a fit. Many made an enquiry anyway.
The changes made to improve lead quality
The account was rebuilt around the distinction between demand capture and demand generation. Google Search was structured to prioritise high-intent service searches, while Meta was assessed against its ability to create qualified interest rather than cheap form fills.
On Google Ads, campaigns were segmented by service line and intent. Higher-intent terms received clearer budget control, more relevant ad copy and landing pages aligned to the specific service being searched. Search query reviews became a scheduled task, with irrelevant themes added as negative keywords before they could consume further spend.
Ad copy was made more selective. Rather than trying to appeal to every possible enquiry, it named the audience and service scope more clearly. This can reduce raw click-through or lead volume in some cases. That is acceptable if it prevents unsuitable prospects from entering the funnel and improves the sales team’s conversion rate.
Meta lead generation was adjusted to introduce purposeful qualification. The form included questions on company size, requirement and timeframe, while the first screen set clearer expectations about who the service was for. The questions were kept short enough to avoid unnecessary abandonment, but specific enough to filter out casual or unsuitable interest.
The business also tested sending some Meta traffic to a dedicated landing page rather than relying solely on an instant form. This created more friction, and therefore fewer submissions, but gave prospects greater context before they converted. The better option depended on the audience, creative and offer, so the decision was made using qualified lead rate rather than platform cost per lead alone.
Closing the tracking gap
The most significant change was connecting sales outcomes back to paid media reporting. The client’s team applied lead-status categories consistently in its CRM, and qualified leads were uploaded or passed back as an offline conversion signal where possible.
This did not create perfect attribution. Sales cycles, repeat visits, phone calls and incomplete CRM records mean no paid media account has a flawless view of every influence on revenue. It did, however, create a far more useful optimisation signal than a basic thank-you-page conversion.
Reporting was then reframed around three levels: total leads, qualified leads and sales opportunities. Cost per lead remained visible, but it no longer led the conversation. Cost per qualified lead, qualification rate by campaign and opportunity value provided a better basis for budget decisions.
Results: fewer weak enquiries, better decisions
Over the following optimisation period, total lead volume fell. If the account had been judged only on cost per lead, this could have looked like a setback. In reality, the proportion of enquiries accepted by sales increased, and the team spent less time chasing contacts that were never likely to progress.
Search spend moved towards campaigns and terms that consistently produced relevant requirements. Some low-cost Meta activity was reduced because its qualification rate remained weak even after form and creative changes. Budget was not removed because a platform was considered ineffective in principle. It was moved because the evidence showed that other activity was producing better commercial outcomes.
Just as valuable, the client gained a clearer explanation for performance changes. When volume moved, the team could see whether the cause was demand, targeting, search terms, form design or lead-handling criteria. That made optimisation more controlled and prevented reactive decisions based on a single platform metric.
What this case study means for your account
Improving lead quality is rarely one campaign setting. It is a chain of decisions: who sees the advert, what the advert promises, which search terms trigger it, what the landing page clarifies and how the business defines a worthwhile enquiry.
Businesses should be cautious about treating lower lead volume as failure. If a campaign begins filtering out irrelevant traffic, volume may decline before qualified pipeline improves. Equally, adding too much form friction can suppress genuine demand. The right balance depends on sales capacity, deal value, buying cycle and how confidently the business can identify good prospects.
The practical starting point is to compare paid media leads with what happens after the form is submitted. If sales teams are repeatedly rejecting the same types of enquiry, that is not only a sales problem. It is evidence that targeting, messaging, qualification or tracking needs attention.
A useful paid media account should make the next decision clearer: what is producing better leads, what is wasting budget and what should be prioritised next.
