Policy Leader

Client: Policy Leader, Ahmedabad
Campaign Duration: 30 Days
Objective: Generate leads for Car & Health Insurance
Platform: Google Ads
Creative Format: Search Audience
Target Audience: India

Client Requirement:

A prominent insurance company aimed to bolster sales for its car and health insurance products using Google Ads. The key objectives were:

  • Targeted Reach: Engage potential customers in specific geographic regions where demand was anticipated to be higher.
  • Lead Quality: Focus on generating leads that were more likely to convert into sales.
  • Cost-Effective Campaigns: Optimize the advertising budget to ensure a favorable return on investment (ROI).

Strategy and Approach:

  1. Requirement Analysis:
    • CRM Data Analysis: The client’s CRM data was meticulously analyzed to identify patterns in customer demographics, purchasing behavior, and geographic preferences. This information was critical in segmenting the audience for targeted advertising.
    • Location Prioritization: Regions with historically higher conversion rates and sales potential were identified. These locations were prioritized for the ad campaigns, ensuring that resources were allocated efficiently.
  2. Campaign Planning:
    • Geo-Targeted Advertising: The campaign focused on specific regions where the demand for car and health insurance was higher. Google Ads’ geo-targeting capabilities were used to ensure that ads reached the most relevant audiences in these areas.
    • Customized Ad Content: Ads were tailored to the unique needs and preferences of users in each target location. For example, in urban areas, the car insurance ads emphasized coverage for theft and accidents, while in regions with higher medical costs, health insurance ads highlighted comprehensive health coverage.
    • Dynamic Keyword Insertion: Dynamic keyword insertion was employed to ensure that the ads were highly relevant to the search queries used by potential customers in the targeted regions.
  3. Execution and Optimization:
    • Bid Adjustments: The company used bid adjustments to increase the visibility of ads in high-potential locations. This ensured that the ads appeared prominently in searches from these areas, leading to a higher click-through rate (CTR).
    • Localized Landing Pages: Dedicated landing pages were created for each target region, featuring localized content and offers that aligned with the ad messaging. This provided a seamless user experience from ad click to conversion.
    • CRM-Driven Audience Segmentation: The client’s CRM data was integrated with Google Ads to create custom and lookalike audiences. This allowed the ads to target individuals who were similar to the client’s most valuable customers, increasing the likelihood of conversion.
  4. Monitoring and Iteration:
    • A/B Testing: Various ad creatives, headlines, and landing pages were tested to identify the most effective combinations. This iterative process helped fine-tune the campaign for optimal performance.
    • Real-Time Optimization: The campaign was continuously monitored, with real-time adjustments made to bids, targeting, and ad content based on performance metrics.

Result:

Metric Client Request Actual Delivery
Leads Generated
Impressions
Lead Quality
Lead Collection
Ad Frequency

Detailed Insights:

  • Higher Lead Conversion: By leveraging CRM data for targeted advertising, the campaign achieved a 35% increase in lead-to-sale conversion rates. The ads were able to reach a more qualified audience, resulting in higher-quality leads.
  • Improved Cost Efficiency: The geo-targeting strategy, combined with optimized bidding, led to a 25% reduction in cost per acquisition (CPA), making the campaign more cost-effective.
  • Enhanced User Engagement: The use of localized content in both ads and landing pages resulted in a 40% higher CTR in the targeted regions compared to the national average.
  • Successful Retargeting: Retargeting campaigns focusing on users who had previously shown interest but did not convert saw a 30% increase in returning visitors who ultimately purchased insurance.

Client Feedback:

The client provided positive feedback on several fronts:

  • Precision in Targeting: They appreciated the accuracy of the targeting, which allowed them to focus on high-potential regions without wasting budget on less relevant areas.
  • Lead Quality and Conversion: The client was particularly pleased with the improved quality of leads, which translated into a higher conversion rate and more effective sales efforts.
  • ROI Improvement: The significant improvement in ROI was highlighted, with the client noting that the campaign exceeded their expectations in terms of both efficiency and profitability.

Conclusion:

The integration of CRM data with Google Ads and the strategic use of geo-targeting proved to be a winning combination for the insurance company. The campaign not only increased lead quality and conversion rates but also optimized ad spend, resulting in a substantial improvement in ROI. The success of this approach has led the client to consider expanding these tactics to other insurance products and additional regions, further solidifying the value of data-driven, location-specific advertising strategies.

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