Uploan
Delivering a 60% increase in attributable revenue alongside a 26% reduction in acquisition costs, through intent-driven PPC, organic authority building, and AI-optimised bidding in one of the UK's most competitive lending markets.
Headline Results
The Client
Uploan was a UK direct lender offering short-term personal loans from £500 to £2,000, with repayment terms of up to 12 months. Founded in 2016 and regulated by the FCA, the Manchester-based business operated as an online-only lender, providing near-instant decisions and same-day funding for borrowers who may not have qualified for mainstream credit. Uploan positioned itself as a more affordable, transparent alternative to traditional payday lending, with flexible repayment options and no hidden fees.
They engaged Digiconomy to build an efficient online acquisition channel that would generate a steady flow of qualified loan applications while keeping cost per funded loan tightly controlled in a market where margins are thin and competition is fierce.
We delivered a targeted strategy combining Google PPC and SEO, augmented by AI-powered bid management and LLM-informed content strategy. Within 12 months, this approach produced a 60% increase in attributable revenue alongside a 26% reduction in acquisition costs, delivering a 5x return on investment.
To ensure spend was consistently directed toward the most productive activity, we implemented tracking that connected every ad click and organic visit to a funded loan outcome, providing the data foundation for continuous, revenue-led optimisation. This closed-loop infrastructure also fed the AI bidding models that continually refined targeting precision across the campaign.
The Objectives
Build a predictable application pipeline while maintaining strict cost control in one of the UK's most aggressively competed lending markets.
Generate Consistent Application Volume
- Establish paid and organic search as reliable, scalable sources of qualified loan applications, building a predictable pipeline that the underwriting team could plan around.
- Ensure all performance measurement was tied to funded loans and revenue rather than front-end metrics like clicks or incomplete applications.
Control Acquisition Costs in a High-Competition Market
- Operate profitably in one of the most aggressively competed segments of UK consumer lending, where comparison sites, brokers, and rival lenders drive up click costs across all core borrowing terms.
- Maintain strict cost discipline while still achieving meaningful revenue growth, proving that efficiency and scale could be delivered in parallel.
The Strategy
A lean, performance-focused search strategy designed to capture high-intent borrowers in a crowded short-term lending market, convert them efficiently, and maintain tight cost control at every stage.
Intent-Driven Keyword Targeting
Focus spend on the search terms most closely associated with genuine borrowing intent, filtering out low-quality traffic from comparison shoppers and information seekers to protect both conversion rates and cost efficiency. AI-powered intent classification analysed historical conversion patterns to score each query by predicted funded loan probability, enabling the bidding algorithm to concentrate budget on the searches most likely to produce completed borrowers rather than casual browsers.
Compelling, Compliant Messaging
Develop ad copy and landing page content that met FCA requirements while clearly communicating Uploan's key differentiators: fast decisions, same-day funding, flexible repayments, and a fairer alternative to payday lending. AI-assisted ad variant testing ran multiple compliant headline and description combinations in parallel, identifying the pairings that maximised click-through and conversion rates without triggering policy violations in a market where ad disapprovals mean immediate lost visibility.
Organic Visibility for Sustainable Growth
Build search rankings for high-intent personal loan and short-term borrowing terms, creating a growing stream of qualified applications that complemented paid activity and progressively lowered blended acquisition costs. Content architecture was optimised for both traditional search rankings and LLM extractability, ensuring Uploan's fair lending proposition surfaced in AI-generated answers as consumers increasingly used chatbots and AI search tools to compare short-term borrowing options.
The Campaign
Intent-focused PPC, compliant creative strategy, direct lender SEO, and revenue-led attribution, all optimised for funded loan outcomes in a thin-margin, high-competition market.
Intent-Focused PPC
Google PPC campaigns were built around high-intent borrowing terms, with tight keyword structures designed to capture consumers ready to apply while filtering out lower-quality comparison traffic. AI-powered Smart Bidding was trained on funded loan outcomes, enabling the algorithm to distinguish genuine applicants from comparison shoppers in real time and adjust bids accordingly. Negative keyword strategies were continuously refined using machine learning pattern analysis to identify and exclude the query types that consistently failed to convert through to funded loans.
Compliant Creative Strategy
Ad copy communicated Uploan's core proposition of fast, fair, and flexible lending within full FCA compliance. AI-driven ad variant testing accelerated the identification of compliant copy combinations that maximised both click-through and funded loan conversion rates. Landing pages were systematically tested and refined to balance regulatory requirements with persuasive messaging, ensuring every element from headline to call-to-action was optimised for the specific mindset of a borrower ready to proceed.
SEO & Direct Lender Authority
SEO targeted short-term loan and direct lender terms, building organic authority that delivered qualified applications at a fraction of the paid cost. Content strategy addressed both transactional queries from borrowers ready to apply and informational needs around fair lending, flexible repayments, and payday loan alternatives. Structured data and entity markup positioned Uploan as an established direct lender across both traditional search and AI platforms, building visibility in LLM-generated recommendations for affordable short-term borrowing.
Revenue-Led Attribution
End-to-end attribution tracked every visitor through to funded loan, ensuring bid adjustments and budget allocation were always grounded in real revenue data. This closed-loop framework provided clear visibility of which keywords, ads, and organic pages were generating genuine funded loans, not just traffic or partial applications. The same granular data fed the AI bidding models, creating a continuous improvement cycle where each funded loan sharpened the next round of targeting and cost control decisions.
The Outcome
Increase in revenue
Reduction in acquisition costs
Return on investment
Within 12 months, the lean search strategy delivered a 60% increase in attributable revenue while cutting acquisition costs by 26%. AI-optimised bidding trained on funded loan data, ML-driven negative keyword refinement, LLM-ready organic content, and closed-loop attribution created a disciplined system that extracted maximum value from every pound spent in one of the UK's most competitive lending markets.
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