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Lalit Saraf and Jewellers - Success Story

Summary

A foolproof, revamped Keyword Structure in conjunction with the right attribution mix was implemented to scale up sales.

Using our in-house technologies, Lalit Saraf and Jewellers was able to scale up spends to 200% and lift sales to 240% on Search Network within 3 months

Lalit Saraf and Jewellers successfully leveraged our in-house technology solutions to achieve remarkable growth on the Search Network. Within just three months, they scaled ad spends by 200%, resulting in an impressive 240% boost in sales. This rapid growth showcases the power of our tailored strategies in driving performance and maximizing ROI for clients.

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Customer Website

www.justdial.com

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Customer Website

www.justdial.com

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Customer Website

www.justdial.com

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Industry

Jewelry, Retail, Craftsmanship, Luxury, Fashion

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Industry

Jewelry, Retail, Craftsmanship, Luxury, Fashion

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Industry

Jewelry, Retail, Craftsmanship, Luxury, Fashion

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Technologies Used

Ad Automation, Custom Attribution Models, Email Monitoring Alerts.

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Technologies Used

Ad Automation, Custom Attribution Models, Email Monitoring Alerts.

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Technologies Used

Ad Automation, Custom Attribution Models, Email Monitoring Alerts.

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Products Used

EasyInsights Data Platform & Adbytzz

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Products Used

EasyInsights Data Platform & Adbytzz

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Products Used

EasyInsights Data Platform & Adbytzz

The Challenge on Search Networks

The Challenge on Search Networks

The Challenge on Search Networks

1. Rising rivalries on search platforms elevate expenses, necessitating businesses to enhance strategies to remain competitive and boost ad effectiveness.

2. Intense competition on search networks drives higher costs per click, forcing advertisers to constantly refine bidding strategies to ensure efficient ad spend while maintaining visibility and relevance in search results.

3. Rising competition increases search ad costs, requiring brands to carefully optimize bids and budgets to maintain visibility while managing expenses.

4. High competition on search networks demands precise bidding to manage costs and maintain strong ad visibility.

What we did

What we did

What we did

Revamping the Keyword Architecture & making it scale ready

Revamping the Keyword Architecture & making it scale ready

Revamping the Keyword Architecture & making it scale ready

To enhance performance, we revamped the keyword architecture, optimizing it for scalability and efficiency. This involved restructuring keywords to better align with search intent, refining match types, and grouping them strategically to improve quality scores. These updates ensured the campaign was both cost-effective and primed for high-volume search traffic.

To enhance performance, we revamped the keyword architecture, optimizing it for scalability and efficiency. This involved restructuring keywords to better align with search intent, refining match types, and grouping them strategically to improve quality scores. These updates ensured the campaign was both cost-effective and primed for high-volume search traffic.

To enhance performance, we revamped the keyword architecture, optimizing it for scalability and efficiency. This involved restructuring keywords to better align with search intent, refining match types, and grouping them strategically to improve quality scores. These updates ensured the campaign was both cost-effective and primed for high-volume search traffic.

Using Custom Attribution models for budget allocation & optimisation

Using Custom Attribution models for budget allocation & optimisation

Using Custom Attribution models for budget allocation & optimisation

We implemented custom attribution models to improve budget allocation and optimization, enabling more accurate tracking of customer touchpoints across the conversion journey. By assigning appropriate credit to each interaction, we identified the most effective channels, adjusted budgets in real-time, and enhanced ROI. This data-driven approach maximized campaign efficiency and impact.

We implemented custom attribution models to improve budget allocation and optimization, enabling more accurate tracking of customer touchpoints across the conversion journey. By assigning appropriate credit to each interaction, we identified the most effective channels, adjusted budgets in real-time, and enhanced ROI. This data-driven approach maximized campaign efficiency and impact.

We implemented custom attribution models to improve budget allocation and optimization, enabling more accurate tracking of customer touchpoints across the conversion journey. By assigning appropriate credit to each interaction, we identified the most effective channels, adjusted budgets in real-time, and enhanced ROI. This data-driven approach maximized campaign efficiency and impact.

Monitoring & Alerts Automation using ML for ad wastage minimisation

Monitoring & Alerts Automation using ML for ad wastage minimisation

Monitoring & Alerts Automation using ML for ad wastage minimisation

We implemented monitoring and alerts automation using machine learning to minimize ad wastage. The system continuously analyzed campaign performance, identifying underperforming keywords and inefficient spend in real time. With automated alerts, we could swiftly make adjustments, optimizing campaigns to reduce wasted ad spend. This proactive approach ensured maximum budget efficiency and significantly improved overall campaign performance, driving better ROI.

We implemented monitoring and alerts automation using machine learning to minimize ad wastage. The system continuously analyzed campaign performance, identifying underperforming keywords and inefficient spend in real time. With automated alerts, we could swiftly make adjustments, optimizing campaigns to reduce wasted ad spend. This proactive approach ensured maximum budget efficiency and significantly improved overall campaign performance, driving better ROI.

We implemented monitoring and alerts automation using machine learning to minimize ad wastage. The system continuously analyzed campaign performance, identifying underperforming keywords and inefficient spend in real time. With automated alerts, we could swiftly make adjustments, optimizing campaigns to reduce wasted ad spend. This proactive approach ensured maximum budget efficiency and significantly improved overall campaign performance, driving better ROI.

Cracking Target CPA Auto Bidding Strategy using Adwords Experiments

Cracking Target CPA Auto Bidding Strategy using Adwords Experiments

Cracking Target CPA Auto Bidding Strategy using Adwords Experiments

We successfully implemented the Target CPA auto bidding strategy through Google Ads Experiments. By testing different bidding approaches, we identified the most effective CPA targets for optimal performance. This data-driven experimentation helped refine the bidding strategy, improving conversion rates while maintaining cost-efficiency and maximizing ROI.

We successfully implemented the Target CPA auto bidding strategy through Google Ads Experiments. By testing different bidding approaches, we identified the most effective CPA targets for optimal performance. This data-driven experimentation helped refine the bidding strategy, improving conversion rates while maintaining cost-efficiency and maximizing ROI.

We successfully implemented the Target CPA auto bidding strategy through Google Ads Experiments. By testing different bidding approaches, we identified the most effective CPA targets for optimal performance. This data-driven experimentation helped refine the bidding strategy, improving conversion rates while maintaining cost-efficiency and maximizing ROI.

Micro-Optimisation and Opportunities

Micro-Optimisation and Opportunities

Micro-Optimisation and Opportunities

1. Analyzed granular data to identify areas of underperformance and optimize campaigns at a detailed level.

1. Analyzed granular data to identify areas of underperformance and optimize campaigns at a detailed level.

1. Analyzed granular data to identify areas of underperformance and optimize campaigns at a detailed level.

2. Refined keyword match types to increase relevance and improve ad targeting precision.

2. Refined keyword match types to increase relevance and improve ad targeting precision.

2. Refined keyword match types to increase relevance and improve ad targeting precision.

3. Tested different ad copy variations to boost click-through rates and engagement.

3. Tested different ad copy variations to boost click-through rates and engagement.

3. Tested different ad copy variations to boost click-through rates and engagement.

4. Implemented bid adjustments for high-performing segments to maximize conversion opportunities.

4. Implemented bid adjustments for high-performing segments to maximize conversion opportunities.

4. Implemented bid adjustments for high-performing segments to maximize conversion opportunities.

5 .Optimized landing pages to enhance user experience and improve conversion rates.

5 .Optimized landing pages to enhance user experience and improve conversion rates.

5 .Optimized landing pages to enhance user experience and improve conversion rates.

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