Loans 2 Go
Delivering a 75% increase in attributable revenue while reducing acquisition costs by 15%, through revenue-aligned PPC, organic authority building, and AI-optimised bid management calibrated to funded loan outcomes.
Headline Results
The Client
Loans 2 Go is a long-established UK direct lender offering unsecured personal loans from £250 to £2,000. Founded in 2002 and regulated by the FCA, the company has helped over two million customers access short-term credit, with a particular focus on borrowers who may struggle to secure finance through traditional banks. Having successfully transitioned from a high street lender to a fully online operation, Loans 2 Go provides same-day funding with flexible weekly, fortnightly, or monthly repayment options.
They engaged Digiconomy to improve the efficiency of their online acquisition activity, increasing the volume of funded loans generated through search while tightening cost control across a competitive and heavily regulated market.
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 generated a 75% increase in attributable revenue while reducing acquisition costs by 15%, delivering a strong 15x return on investment.
To support ongoing performance improvement, we implemented granular tracking that connected marketing activity to funded loan outcomes, enabling confident, data-led decisions on where to allocate budget for maximum return. This closed-loop data infrastructure also fed the AI bidding models that continually sharpened targeting precision across every campaign.
The Objectives
Extract more funded loans from existing budgets while strengthening visibility against well-funded competitors in a crowded market.
Improve Acquisition Efficiency
- Increase the volume of funded loans generated through paid and organic search without a proportional rise in spend, extracting more value from existing budgets through sharper targeting and smarter allocation.
- Ensure all optimisation decisions were tied to downstream funded loan data rather than surface-level metrics like clicks or application starts.
Strengthen Competitive Positioning
- Improve visibility for high-intent borrowing terms in a crowded market where comparison sites, brokers, and competing lenders aggressively bid for the same audience.
- Maintain full compliance with FCA advertising rules while running ad copy and landing pages compelling enough to stand out against well-funded competitors.
The Strategy
An efficiency-focused search strategy designed to improve the return on every pound invested, strengthen organic positioning, and capture more funded loans from the same competitive landscape.
Precision Bid Management
Align bidding to funded loan value rather than application volume, reallocating spend away from keywords and audiences that generated clicks but not completions, and concentrating budget on the highest-converting opportunities. AI-powered Smart Bidding was calibrated against actual funded loan data, enabling the algorithm to distinguish high-value applicants from casual browsers and adjust bids in real time based on predicted completion probability.
Organic Visibility Growth
Build sustainable search rankings for high-intent personal loan terms, creating a growing source of qualified traffic that complemented paid activity and reduced overall cost per acquisition. Content architecture was structured for both traditional search performance and LLM extractability, ensuring Loans 2 Go's accessible lending proposition surfaced in AI-generated answers as consumers increasingly used chatbots and AI search tools to compare short-term borrowing options.
Compliance-Led Creative
Develop ad copy and landing page content that met FCA financial promotion standards while clearly communicating Loans 2 Go's same-day funding, flexible repayment options, and willingness to consider applicants with imperfect credit histories. AI-assisted ad variant testing accelerated the identification of compliant copy combinations that maximised click-through and conversion rates simultaneously.
The Campaign
Revenue-aligned PPC, compliance-first creative, organic authority building, and end-to-end attribution, all calibrated to maximise funded loan volume per pound of spend.
Revenue-Aligned PPC
Google PPC campaigns were restructured around funded loan profitability, with bid strategies and budget allocation driven by downstream revenue data rather than front-end conversion volume. AI-powered Smart Bidding models were trained on completed loan outcomes, enabling the algorithm to value each auction based on predicted funded loan probability, not just click likelihood. This shifted spend towards the keywords, times of day, devices, and audiences that consistently delivered completed loans, not just application starts.
Compliance-First Creative
Ad copy was crafted to meet FCA requirements while highlighting Loans 2 Go's core differentiators: same-day decisions, flexible repayments, and accessibility for borrowers with poor credit. AI-driven ad variant testing ran multiple compliant headline and description combinations simultaneously, identifying the pairings that delivered the strongest click-through and conversion rates without triggering policy violations. This was a critical advantage in a market where disapproved ads mean lost visibility.
SEO & Direct Lender Authority
SEO activity targeted high-intent personal loan and direct lender terms, building organic authority that delivered a compounding stream of qualified applications. Content strategy addressed both transactional queries and informational needs around short-term borrowing, flexible repayments, and credit accessibility. Structured data and entity markup reinforced Loans 2 Go's identity as an established direct lender across both traditional search and AI platforms, positioning the brand for visibility in LLM-generated lending recommendations.
End-to-End Attribution
End-to-end attribution ensured every optimisation decision was grounded in actual funded loan performance. Tracking connected each click through to loan completion, providing clear visibility of which keywords, ads, and landing pages generated real revenue, not just traffic or partial applications. This closed-loop data fed the AI bidding models, creating a continuous improvement cycle where each funded loan sharpened the next round of targeting and budget allocation decisions.
The Outcome
Increase in revenue
Reduction in acquisition costs
Return on investment
Within 12 months, the efficiency-focused strategy delivered a 75% increase in attributable revenue while cutting acquisition costs by 15%. AI-optimised bidding aligned to funded loan data, compliance-led creative testing, LLM-ready organic content, and closed-loop attribution created a compounding system where every data point improved the return on the next pound spent.
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