DPF Pro
Scaling lead acquisition by 900% in three months to 80 enquiries per day worth around £225k per month, supported by full conversion tracking, AI-driven follow-up and recovered missed call revenue.
Headline Results
The Client
DPF Pro is a UK specialist provider of mobile diesel particulate filter cleaning and diagnostic services, supporting motorists and fleet operators who need fast, on-site DPF resolution without the cost or downtime of dealer intervention. The business operates in a niche, high-intent automotive vertical where the gap between an enquiry and a same-day booking is often measured in minutes.
They engaged Digiconomy to scale paid lead acquisition aggressively, with a clear mandate to grow daily enquiry volume whilst building the conversion tracking, attribution and operational infrastructure needed to manage that growth profitably. At the start of the engagement, the business was effectively flying blind on paid performance, with no dynamic number insertion, no reliable conversion tracking and no visibility of which campaigns and keywords were actually generating revenue.
We delivered an end-to-end paid acquisition and lead operations programme combining full call tracking and conversion infrastructure, algorithmic bidding on validated data, AEO-aligned landing page architecture and an AI-driven follow-up system to recover missed enquiries. Over the first three months, the strategy scaled lead acquisition by 900%, reaching 80 enquiries per day worth approximately £225,000 in new monthly revenue, with 30% of previously lost business recovered through automated recovery flows.
To extend that visibility into the answer engines now mediating "DPF cleaning near me" and "DPF problems" research, we restructured supporting content around the symptoms, costs and decision points motorists actually search for, with schema markup and entity content positioning DPF Pro for citation in Google AI Overviews and conversational AI search.
The Objectives
Clear commercial goals built around aggressive lead growth, rebuilt measurement infrastructure and operational capacity to convert enquiries into completed jobs.
Scalable, Measurable Lead Growth
- Scale paid lead acquisition aggressively whilst maintaining cost discipline against revenue per booking.
- Replace blind paid spend with full conversion tracking and dynamic number insertion to ground every decision in validated data.
Capturing Every Available Enquiry
- Solve the operational bottleneck causing nearly half of inbound calls to be missed.
- Build automated follow-up and recovery infrastructure to convert otherwise lost enquiries into booked work.
The Strategy
A combined acquisition and lead operations strategy designed to grow enquiry volume aggressively whilst rebuilding measurement and recovery infrastructure to capture every available pound of revenue.
Conversion Tracking and Attribution Foundations
Implement dynamic number insertion, full call conversion tracking and validated lead reporting across every paid channel, replacing a near-blind setup with granular visibility down to keyword and ad level. The new measurement layer became the foundation for every subsequent bid, keyword and creative decision.
Algorithmic Bidding on Validated Data
Move from manual, intuition-led management to smart bidding strategies trained on validated call and enquiry data rather than form fills or vanity click metrics. With clean conversion data flowing into the platform, algorithmic bidding scaled spend efficiently into the queries and audiences delivering genuine high-value DPF enquiries.
AI-Driven Lead Recovery and Sentiment Analysis
Integrate an AI follow-up system to handle missed inbound calls and abandoned enquiries automatically, layered with AI sentiment analysis on follow-up interactions to triage urgency, intent and likelihood to book. The recovery layer turned a 45% missed call rate from a structural revenue ceiling into a recoverable opportunity.
The Campaign
A combined paid acquisition and AI-driven lead operations programme covering measurement, bidding, recovery and AEO-aligned content architecture.
Conversion Tracking and Dynamic Number Insertion
Dynamic number insertion was deployed across every paid landing page, with call tracking and conversion events wired into Google Ads, GA4 and the wider analytics stack. The new infrastructure gave DPF Pro full visibility of which campaigns, keywords and ad creatives were actually driving valuable enquiries, ending months of blind paid spend.
Algorithmic PPC Scaling
Paid search campaigns were rebuilt around validated DPF intent, with smart bidding strategies calibrated against real call and enquiry conversions. Aggressive scaling on properly tracked data lifted enquiry volume by 900% in three months whilst maintaining a controlled cost per validated lead, with daily volume reaching 80 enquiries per day.
AI Follow-Up and Missed Call Recovery
An AI-driven follow-up system was integrated to handle missed inbound calls and abandoned enquiries automatically, with sentiment analysis triaging urgency and intent on every interaction. The recovery layer reclaimed approximately 30% of business that would otherwise have been lost to the 45% missed call problem, dramatically improving the success rate of the wider marketing automation pipeline.
AEO-Aligned DPF Content Architecture
Landing pages and supporting content were restructured around the real questions motorists ask when researching DPF problems, including symptoms, costs, regeneration cycles and cleaning versus replacement decisions. Schema markup, entity content and clear comparison structures lifted paid conversion rates whilst positioning DPF Pro for visibility in Google AI Overviews and conversational AI search.
The Outcome
Lead acquisition growth
New monthly revenue
Lost business recovered
Within three months, the combined strategy scaled DPF Pro's paid lead acquisition by 900% to 80 enquiries per day, worth approximately £225,000 in new monthly revenue, whilst the AI-driven follow-up and recovery infrastructure reclaimed around 30% of business previously lost to missed calls. The dynamic number insertion, conversion tracking, algorithmic bidding and AEO-aligned content architecture built during the project continue to support DPF Pro's growth across both traditional paid search and AI-driven automotive research, with sentiment analysis and AI recovery now embedded in the standard lead handling pipeline.
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