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Best B2C digital campaign:
increase in qualified leads % for
Insurance Samadhan

Award Case Study

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Marketing Objective | To attain maximum qualified leads at a controlled CPQL | Marketing Objective | To attain maximum qualified leads at a controlled CPQL | Marketing Objective | To attain maximum qualified leads at a controlled CPQL

About the Brand: Insurance Samadhan

Founded by five professionals with 100+ years of combined insurance & legal experience.

Dedicated to empowering aggrieved insurance policyholders.

Expertise in resolving insurance grievances promptly and satisfactorily.

Marketing Challenge

Optimization

Balancing volume and quality of leads

Lead Sources

Identifying high-quality lead sources

Budget Allocation

Allocating budget & resources to campaigns without increasing CPQL

Innovation | Execution | Impact

  1. Category Identification:
    • Determine optimal insurance category for targeting.
    • Assess potential for higher lead generation in one category.
    • Evaluate potential for higher conversion values despite lower search volume in another category.
  2. Personalized Ads & Decsionboard AI:
    • Tailored ads to match user search queries and keywords based on identified categories.
    • Increased clicks by improving Click-Through Rate (CTR).
    • Utilized Decisionboard marketing intelligence tool for data analysis (Integrated data sources: Ads platforms, Client’s CRM, GA4).

  1. BullesEye Targeting:
    • Age: Significant focus on the age group 25-45, comprising 60% of cases.
    • Income Level: Most registered cases are from the income group of 3LPA - 10LPA, accounting for 36% of the total share.
    • CRM Optimisation: Leveraged brand CRM data to optimize Google and Meta's ML algorithms for precise user targeting in campaigns
  2. Identification of Audiences for Meta:
    • Leveraged lookalike audiences to maximize outreach to potential consumers.
    • Custom audiences that we executed:
      • Quality Leads
      • Final Cases- Lookalike and Value-Based Lookalike Audience Utilized.
      • Engagers From Our Adverts.
  3. Decisionboard AI in Action:
    • Executed and optimized solutions in real-time using our proprietary tool
    • Utilized a marketing intelligence platform for real-time variance alerts, ensuring successful execution.

  1. Increase in ROI:
    • Achieved a 36% Reduction in Customer Acquisition Costs, Boosting Brand ROI.
  2. Getting maximum volume at lower cost:
    • Budgets were dropped by 17%, Enhancing Cost Efficiency & Maximizing Results.

Results

16%

Decrease in ad spends

36.8%

Decrease in cost per quality leads

88%

Increase in quality leads percentage

5.8% to 11%

Increase leads to qualified leads %

Marketing Objective | To attain maximum qualified leads at a controlled CPQL | Marketing Objective | To attain maximum qualified leads at a controlled CPQL | Marketing Objective | To attain maximum qualified leads at a controlled CPQL
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