Reducing cost-per-lead by 72% for a regional freight forwarding company

The company was spending $18,000 per month on LinkedIn Ads — a significant budget by any measure — with very little to show for it. Their campaigns were generating leads at $480 each, and roughly half of those leads were unqualified: wrong seniority, wrong company size, or wrong buying stage.

The fundamental problems were structural. Their audience targeting was broad demographic-based (job title + industry) rather than using LinkedIn's more precise firmographic and intent signals. Their ad creative was generic — stock photography and product-benefit headlines that looked identical to every other logistics company on the platform. And critically, they had no conversion tracking beyond a basic LinkedIn Insight Tag: they couldn't tell which campaigns, creatives, or audiences were actually generating pipeline.

The net result was a channel that looked expensive and unproductive — but which, with proper setup, had significant untapped potential given that their target buyers (procurement managers and supply chain directors at mid-to-large manufacturers) were highly active on LinkedIn.

The first two weeks were exclusively diagnostic. We conducted a full AdsIQ™ campaign audit — examining audience overlap, impression frequency, creative fatigue indicators, landing page conversion rates, and attribution gaps. The audit identified that 40% of their ad spend was going to audiences with less than 2% click-through rate, and that their highest-performing creative (a carousel showing lane-specific transit times) was being dramatically underspent relative to its performance.

We rebuilt the campaign architecture from scratch. Audience strategy shifted from broad job title targeting to a layered approach: seniority + function + company size + industry vertical, cross-referenced with website retargeting audiences built from their LinkedIn Insight Tag data. We created three audience tiers — cold, warm (website visitors and page engagers), and hot (Lead Gen Form openers) — each with different creative strategies and bid approaches.

Creative was rebuilt around specificity: lane-specific messaging for key trade routes, transit time guarantees with verifiable numbers, and customer outcome headlines rather than capability claims. Lead Gen Forms were introduced as the primary conversion mechanism for cold audiences, replacing website landing pages that had conversion rates below 1.5%.

Within 45 days of the new campaign structure going live, cost-per-lead had dropped from $480 to $134 — a 72% reduction. This wasn't achieved by reducing volume: lead volume actually increased by 31% simultaneously. The improvement came entirely from better targeting and creative relevance.

Lead quality improved in parallel. The proportion of leads matching their ICP (procurement decision-makers at manufacturers with $10M+ annual import/export volume) increased from 49% to 84% — measured by the sales team's qualification call outcomes.

ROAS improved 2.9× over the pre-AppLabx baseline. The client reallocated $4k/month of their saved CPL budget into the highest-performing audience tier, further compounding results. By month four, LinkedIn had become their highest-performing paid acquisition channel by pipeline contribution — surpassing Google Ads, which they had historically favoured.