Work · Case study · Lead Generation

Lead generation funnel

Sample lead-gen case study: funnel stages, CPL thinking and lead quality notes.

Lead GenerationPPCWeb DevelopmentDigital Marketing

Results

Sample data
Sample$48CPLWas $61
Sample64%Sales acceptance rateWas 41%
Sample6.8%LP CVRWas 4.1%

Context

Overview

Shows how lead generation is documented beyond form fills: stages, cost efficiency and qualitative lead quality.

Business

Client / business context

Demand-gen program (sample) · B2B

The challenge

What was wrong

Traffic volume looked healthy but sales rejected many leads; CPL appeared ‘good’ while pipeline did not.

Objectives

What success looked like

  • Clarify MQL / SQL definitions with sales
  • Improve landing-page conversion quality
  • Align paid and organic to the same offer
  • Report CPL alongside acceptance rate

My role

What I personally owned

Lead generation & conversion owner — funnel design, LP iteration, channel alignment.

Approach

Strategy

Tighten the offer and form friction for quality; score and feedback loop with sales; optimize channels for accepted leads, not raw volume.

The approach

How the work moved

01

Funnel map

Awareness → consideration → form → qualification → sales accept.

02

LP & offer

Message match, proof, and shorter form with progressive profiling notes.

03

Feedback

Weekly sales reject reasons folded into creative and targeting (sample process).

Lead generation detail

  1. Visit
  2. Engage
  3. Convert (form)
  4. MQL
  5. SQL / accept

CPL notes

Sample: CPL fell while acceptance rose after offer and qualification changes — both metrics reported together.

Lead quality

Sample: reject reasons (budget, timeline, unfit geo) fed back into targeting negatives and LP copy.

Stack

Tools & technologies

Landing pagesCRM notesGoogle AdsGA4

Evidence

Screenshots & evidence

Before / after

CPL
$61$48Sample
Sales acceptance rate
41%64%Sample
LP CVR
4.1%6.8%Sample

Takeaways

Lessons learned

  • Cheap CPL with high reject rate is expensive.
  • Sales feedback is a first-class optimization input.

Next

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