How growth.cx Cut Zappyhire's CPL by 50%

Growth-led Performance Marketing Case Study

How growth.cx Reduced Zappyhire's Cost per Lead by 50% While More Than Doubling Lead Quality in 3 Months

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About Zappyhire

Zappyhire is an AI-powered recruitment automation platform that helps enterprises streamline the entire hiring lifecycle, from sourcing and screening to interviews and onboarding.

Business Type :

HR B2B SaaS

Offices :

India

Challenges Faced:

The client was generating leads, but the account was facing several performance issues:

  • Cost per lead ranged between ₹3,800–₹5,000, making acquisition expensive.
  • Campaign structure had grown inconsistent over time.
  • Ad groups were not segmented based on product features or user intent.
  • Search campaigns suffered from low CTR and weak Search Impression Share.
  • Several campaigns were losing valuable impressions due to poor account structure and relevance.
  • Landing pages were too generic and did not align with different search intents.
  • MQL to SQL conversion rate remained low at only 12–15%, indicating lead quality issues.

The objective was not just to reduce cost per lead but to generate leads that were more likely to convert into qualified sales opportunities.

Our Objective:

  • Reduce cost per Lead without sacrificing lead volume
  • Improve MQL to SQL conversion rate
  • Fix campaign structure around products and user intent
  • Capture competitor and comparison traffic that was being lost

Our Strategy & Execution

Complete Campaign Restructuring

  • Rebuilt the account from scratch around product categories, features, and search themes
  • Improved keyword relevance and Quality Scores across the board
  • Created a clean, scalable structure to optimize from

Intent-Based Ad Group Segmentation

  • Broke out ad groups by specific user intent instead of grouping unrelated keywords
  • Each ad group focused on a core feature, pain point, or high-intent query
  • Lifted CTRs and pushed Quality Scores up across campaigns

Alternative Landing Page Strategy

  • Identified high volumes of comparison and competitor-intent search traffic
  • Built dedicated alternative landing pages for this segment
  • Each page covered why customers switch, product advantages, feature comparisons, and clear CTAs
  • Turned previously wasted competitor traffic into qualified leads

Landing Page Redesign

  • Clearer messaging and better information hierarchy
  • Stronger, more direct CTAs
  • Tighter alignment between ad copy and landing page content
  • Smoother path from click to enquiry

Continuous Performance Optimization

  • Ongoing refinement of Search Impression Share and CTR
  • Regular negative keyword cleanup
  • Search term audits to remove low-intent traffic
  • Budget shifted consistently toward top-performing campaigns and keywords

What worked?

  • 01

    Rebuilding account structure around intent had an immediate impact on Quality Scores

  • 02

    Tightly themed ad groups improved CTR and reduced wasted spend

  • 03

    Alternative landing pages converted competitor-intent traffic that was previously being lost

  • 04

    Landing page redesign improved conversion rates across all campaigns

  • 05

    Continuous budget and keyword optimization kept performance compounding

What didn't work?

  • Patching the old campaign structure through incremental changes was not viable; a full rebuild was necessary.

  • Generic landing pages consistently underperformed regardless of ad quality.

End Result

Cost per Lead
Before: ₹3,800–₹5,000
After: ₹1,800–₹2,500
Improvement: Approximately 50% reduction in Cost per Lead.
Lead Quality Improvement
MQL → SQL Conversion Rate
Before: 12–15%
After: 28–38%
Improvement: More than 2× improvement in lead qualification rate.

This demonstrated that the optimization strategy improved not only lead volume but also the quality of leads entering the sales pipeline.

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