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the same challenges?
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Less ppc queries or leads?
Not getting enough phone calls?
Customers are very less??
Overall Revenue is less?
Not getting enough revenue from ads?
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Want Your PPC Management Strategy To Overdeliver?
Then It Should Include Everything Below:
Ad Copy A/B Testing
Landing Page Testing and Optimization
PPC Competitor Analysis
Bid Strategy Automation
Improving Quality Score
Best PPC Strategies
Keyword Match Type Testing
Conversion Tracking Setup
Advanced Retargeting Campaigns
Negative Keyword Management
Call Tracking and Optimization
Remarketing List for Search Ads (RLSA)
Ad Extensions Optimization
Cross-Channel Integration
Dynamic Search Ads (DSA)
Geo-Targeting Adjustments
Ad Fraud Detection
Performance Analytics and Reporting
Shopping Campaign Optimization
Audience Segmentation and Targeting
Video Ad Management
See How We Triple PPC Conversions
Our Specialized PPC Management services can help yield the same results for your business.
Get More from Your Google Ads – Up to 300% More ROI
We’ve helped businesses just like yours see up to a 30% jump in ROI with our Google Ads know-how.
Want in? Let’s generate you the same results!
Problem:
Before signing up with us, the client struggled with generating phone calls through self-managed Google Ads campaigns, receiving 78 calls in October 2023 at a high cost of $22.62 per call.
Solution:
We audited and optimized the campaigns by adjusting ad copy, keywords, bidding, and targeting, and launched new campaigns focused on high-performing keywords. A/B testing was used to refine performance. By May 2024, the campaigns generated 574 calls at $11.83 per call, a 636.64% increase in calls and a 47.69% reduction in cost per call,demonstrating the impact of our optimization.
Before signing up with us, the client struggled with generating phone calls through self-managed Google Ads campaigns, receiving 78 calls in October 2023 at a high cost of $22.62 per call.
Solution:
We audited and optimized the campaigns by adjusting ad copy, keywords, bidding, and targeting, and launched new campaigns focused on high-performing keywords. A/B testing was used to refine performance. By May 2024, the campaigns generated 574 calls at $11.83 per call, a 636.64% increase in calls and a 47.69% reduction in cost per call,demonstrating the impact of our optimization.
Problem:
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
Problem:
Despite maintaining a stable ad spend, the client (before signing up with us) was experiencing low conversion rates and a decrease in overall conversions from their campaign.
Solution:
We enhanced the campaign by refining targeting parameters, improving ad copy and keywords, and aligning the landing page more closely with user intent. By leveraging data-driven insights and implementing A/B testing, we boosted engagement and conversion rates, resulting in higher conversions without altering the ad budget.
Despite maintaining a stable ad spend, the client (before signing up with us) was experiencing low conversion rates and a decrease in overall conversions from their campaign.
Solution:
We enhanced the campaign by refining targeting parameters, improving ad copy and keywords, and aligning the landing page more closely with user intent. By leveraging data-driven insights and implementing A/B testing, we boosted engagement and conversion rates, resulting in higher conversions without altering the ad budget.
Problem:
Before signing up with us, the client struggled with generating phone calls through self-managed Google Ads campaigns, receiving 78 calls in October 2023 at a high cost of $22.62 per call.
Solution:
We audited and optimized the campaigns by adjusting ad copy, keywords, bidding, and targeting, and launched new campaigns focused on high-performing keywords. A/B testing was used to refine performance. By May 2024, the campaigns generated 574 calls at $11.83 per call, a 636.64% increase in calls and a 47.69% reduction in cost per call,demonstrating the impact of our optimization.
Before signing up with us, the client struggled with generating phone calls through self-managed Google Ads campaigns, receiving 78 calls in October 2023 at a high cost of $22.62 per call.
Solution:
We audited and optimized the campaigns by adjusting ad copy, keywords, bidding, and targeting, and launched new campaigns focused on high-performing keywords. A/B testing was used to refine performance. By May 2024, the campaigns generated 574 calls at $11.83 per call, a 636.64% increase in calls and a 47.69% reduction in cost per call,demonstrating the impact of our optimization.
Problem:
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
Problem:
Despite maintaining a stable ad spend, the client (before signing up with us) was experiencing low conversion rates and a decrease in overall conversions from their campaign.
Solution:
We enhanced the campaign by refining targeting parameters, improving ad copy and keywords, and aligning the landing page more closely with user intent. By leveraging data-driven insights and implementing A/B testing, we boosted engagement and conversion rates, resulting in higher conversions without altering the ad budget.
Despite maintaining a stable ad spend, the client (before signing up with us) was experiencing low conversion rates and a decrease in overall conversions from their campaign.
Solution:
We enhanced the campaign by refining targeting parameters, improving ad copy and keywords, and aligning the landing page more closely with user intent. By leveraging data-driven insights and implementing A/B testing, we boosted engagement and conversion rates, resulting in higher conversions without altering the ad budget.
Problem:
Before signing up with us, the client struggled with generating phone calls through self-managed Google Ads campaigns, receiving 78 calls in October 2023 at a high cost of $22.62 per call.
Solution:
We audited and optimized the campaigns by adjusting ad copy, keywords, bidding, and targeting, and launched new campaigns focused on high-performing keywords. A/B testing was used to refine performance. By May 2024, the campaigns generated 574 calls at $11.83 per call, a 636.64% increase in calls and a 47.69% reduction in cost per call,demonstrating the impact of our optimization.
Before signing up with us, the client struggled with generating phone calls through self-managed Google Ads campaigns, receiving 78 calls in October 2023 at a high cost of $22.62 per call.
Solution:
We audited and optimized the campaigns by adjusting ad copy, keywords, bidding, and targeting, and launched new campaigns focused on high-performing keywords. A/B testing was used to refine performance. By May 2024, the campaigns generated 574 calls at $11.83 per call, a 636.64% increase in calls and a 47.69% reduction in cost per call,demonstrating the impact of our optimization.
Get Up to 500% More ROI with our Facebook Ads Experts
We’ve helped businesses with a solid 5X boost in their ROI by using our Facebook Ads strategies. We’ve helped businesses just like yours see up to a 30% jump in ROI with our Google Ads know-how.
Want in? Let’s generate you the same results!
Problem:
The client, specializing in home interior remodeling services, was dissatisfied with their previous agency’s results, which did not effectively generate high-quality leads or optimize ad performance.
Solution:
We revamped the campaign from scratch, developing compelling ad creatives and incorporating a lead form with relevant qualifying questions. This approach led to a significant improvement, generating 95 leads at a cost of $50.27 per lead. Each lead had the potential to bring in $500 - $3,000, resulting in a minimum of $47,500 in revenue and up to $285,000 in potential revenue. Additionally, we increased the number of leads by 3X compared to the previous duration.
The client, specializing in home interior remodeling services, was dissatisfied with their previous agency’s results, which did not effectively generate high-quality leads or optimize ad performance.
Solution:
We revamped the campaign from scratch, developing compelling ad creatives and incorporating a lead form with relevant qualifying questions. This approach led to a significant improvement, generating 95 leads at a cost of $50.27 per lead. Each lead had the potential to bring in $500 - $3,000, resulting in a minimum of $47,500 in revenue and up to $285,000 in potential revenue. Additionally, we increased the number of leads by 3X compared to the previous duration.
Problem:
The client, a digital marketing services provider, needed to optimize their ad campaigns to better target potential clients and reduce the cost per lead.
Solution:
We developed two A/B test variations of the campaign to target different audiences based on interest, behavior, and demographics. After analyzing the performance, we identified the most effective ad sets and allocated additional budget towards the top-performing ads and services. This strategy led to a significant improvement, reducing the cost per lead to $38.53 and enhancing overall campaign effectiveness.
The client, a digital marketing services provider, needed to optimize their ad campaigns to better target potential clients and reduce the cost per lead.
Solution:
We developed two A/B test variations of the campaign to target different audiences based on interest, behavior, and demographics. After analyzing the performance, we identified the most effective ad sets and allocated additional budget towards the top-performing ads and services. This strategy led to a significant improvement, reducing the cost per lead to $38.53 and enhancing overall campaign effectiveness.
Problem:
The client, specializing in home interior remodeling services, was dissatisfied with their previous agency’s results, which did not effectively generate high-quality leads or optimize ad performance.
Solution:
We revamped the campaign from scratch, developing compelling ad creatives and incorporating a lead form with relevant qualifying questions. This approach led to a significant improvement, generating 95 leads at a cost of $50.27 per lead. Each lead had the potential to bring in $500 - $3,000, resulting in a minimum of $47,500 in revenue and up to $285,000 in potential revenue. Additionally, we increased the number of leads by 3X compared to the previous duration.
The client, specializing in home interior remodeling services, was dissatisfied with their previous agency’s results, which did not effectively generate high-quality leads or optimize ad performance.
Solution:
We revamped the campaign from scratch, developing compelling ad creatives and incorporating a lead form with relevant qualifying questions. This approach led to a significant improvement, generating 95 leads at a cost of $50.27 per lead. Each lead had the potential to bring in $500 - $3,000, resulting in a minimum of $47,500 in revenue and up to $285,000 in potential revenue. Additionally, we increased the number of leads by 3X compared to the previous duration.
Problem:
The client, a digital marketing services provider, needed to optimize their ad campaigns to better target potential clients and reduce the cost per lead.
Solution:
We developed two A/B test variations of the campaign to target different audiences based on interest, behavior, and demographics. After analyzing the performance, we identified the most effective ad sets and allocated additional budget towards the top-performing ads and services. This strategy led to a significant improvement, reducing the cost per lead to $38.53 and enhancing overall campaign effectiveness.
The client, a digital marketing services provider, needed to optimize their ad campaigns to better target potential clients and reduce the cost per lead.
Solution:
We developed two A/B test variations of the campaign to target different audiences based on interest, behavior, and demographics. After analyzing the performance, we identified the most effective ad sets and allocated additional budget towards the top-performing ads and services. This strategy led to a significant improvement, reducing the cost per lead to $38.53 and enhancing overall campaign effectiveness.
Problem:
The client, specializing in home interior remodeling services, was dissatisfied with their previous agency’s results, which did not effectively generate high-quality leads or optimize ad performance.
Solution:
We revamped the campaign from scratch, developing compelling ad creatives and incorporating a lead form with relevant qualifying questions. This approach led to a significant improvement, generating 95 leads at a cost of $50.27 per lead. Each lead had the potential to bring in $500 - $3,000, resulting in a minimum of $47,500 in revenue and up to $285,000 in potential revenue. Additionally, we increased the number of leads by 3X compared to the previous duration.
The client, specializing in home interior remodeling services, was dissatisfied with their previous agency’s results, which did not effectively generate high-quality leads or optimize ad performance.
Solution:
We revamped the campaign from scratch, developing compelling ad creatives and incorporating a lead form with relevant qualifying questions. This approach led to a significant improvement, generating 95 leads at a cost of $50.27 per lead. Each lead had the potential to bring in $500 - $3,000, resulting in a minimum of $47,500 in revenue and up to $285,000 in potential revenue. Additionally, we increased the number of leads by 3X compared to the previous duration.
Problem:
The client, a digital marketing services provider, needed to optimize their ad campaigns to better target potential clients and reduce the cost per lead.
Solution:
We developed two A/B test variations of the campaign to target different audiences based on interest, behavior, and demographics. After analyzing the performance, we identified the most effective ad sets and allocated additional budget towards the top-performing ads and services. This strategy led to a significant improvement, reducing the cost per lead to $38.53 and enhancing overall campaign effectiveness.
The client, a digital marketing services provider, needed to optimize their ad campaigns to better target potential clients and reduce the cost per lead.
Solution:
We developed two A/B test variations of the campaign to target different audiences based on interest, behavior, and demographics. After analyzing the performance, we identified the most effective ad sets and allocated additional budget towards the top-performing ads and services. This strategy led to a significant improvement, reducing the cost per lead to $38.53 and enhancing overall campaign effectiveness.
Maximize Your Amazon Sales – Up to 4X ROAS
We’ve helped businesses achieve up to 4X return on ad spend with our Amazon Ads expertise.
Want in? Let’s generate you the same results!
Problem:
The client’s Amazon store was generating sales but at a low ROAS of 1.97 and a high ACOS of 51.01%, indicating inefficient ad spend. Campaigns were incurring excessive costs with minimal returns, impacting overall profitability.
Solution:
Upon taking over management on December 10, 2022, we optimized the campaigns by turning off low-performing keywords and products that were causing cost leakage, saving approximately $2,400. We also refined keyword bids to improve conversion likelihood. Within the first 30 days, ROAS improved to 4.24, and ACOS dropped to 23.60%. While sales revenue decreased initially, our focus was on enhancing profitability. The next step is to scale sales while maintaining the improved ROAS and ACOS.
The client’s Amazon store was generating sales but at a low ROAS of 1.97 and a high ACOS of 51.01%, indicating inefficient ad spend. Campaigns were incurring excessive costs with minimal returns, impacting overall profitability.
Solution:
Upon taking over management on December 10, 2022, we optimized the campaigns by turning off low-performing keywords and products that were causing cost leakage, saving approximately $2,400. We also refined keyword bids to improve conversion likelihood. Within the first 30 days, ROAS improved to 4.24, and ACOS dropped to 23.60%. While sales revenue decreased initially, our focus was on enhancing profitability. The next step is to scale sales while maintaining the improved ROAS and ACOS.
Problem:
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
Problem:
The client’s Amazon store was under-performing, with April 2024 PPC campaigns showing a ROAS of 5.48 and ACOS of 18.26%, and total sales of $148,450.48, indicating room for optimization.
Solution:
Starting in April 2024, we optimized bidding strategies and keywords to drive targeted traffic. As a result, units ordered increased by 217%, PPC revenue grew by 331%, ROAS improved by 6.8% to 5.85, and ACOS decreased by 6.3% to 17.11%. Total sales revenue surged by 238%, reaching $501,671.62, highlighting the effectiveness of our optimization strategies.
The client’s Amazon store was under-performing, with April 2024 PPC campaigns showing a ROAS of 5.48 and ACOS of 18.26%, and total sales of $148,450.48, indicating room for optimization.
Solution:
Starting in April 2024, we optimized bidding strategies and keywords to drive targeted traffic. As a result, units ordered increased by 217%, PPC revenue grew by 331%, ROAS improved by 6.8% to 5.85, and ACOS decreased by 6.3% to 17.11%. Total sales revenue surged by 238%, reaching $501,671.62, highlighting the effectiveness of our optimization strategies.
Problem:
The client’s Amazon store was generating sales but at a low ROAS of 1.97 and a high ACOS of 51.01%, indicating inefficient ad spend. Campaigns were incurring excessive costs with minimal returns, impacting overall profitability.
Solution:
Upon taking over management on December 10, 2022, we optimized the campaigns by turning off low-performing keywords and products that were causing cost leakage, saving approximately $2,400. We also refined keyword bids to improve conversion likelihood. Within the first 30 days, ROAS improved to 4.24, and ACOS dropped to 23.60%. While sales revenue decreased initially, our focus was on enhancing profitability. The next step is to scale sales while maintaining the improved ROAS and ACOS.
The client’s Amazon store was generating sales but at a low ROAS of 1.97 and a high ACOS of 51.01%, indicating inefficient ad spend. Campaigns were incurring excessive costs with minimal returns, impacting overall profitability.
Solution:
Upon taking over management on December 10, 2022, we optimized the campaigns by turning off low-performing keywords and products that were causing cost leakage, saving approximately $2,400. We also refined keyword bids to improve conversion likelihood. Within the first 30 days, ROAS improved to 4.24, and ACOS dropped to 23.60%. While sales revenue decreased initially, our focus was on enhancing profitability. The next step is to scale sales while maintaining the improved ROAS and ACOS.
Problem:
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
In May 2023, the client signed up with us. Their campaign performance was low, with a ROAS of 0.32 and a high average CPC of $3.78. This resulted in inefficient ad spend and poor conversion rates.
Solution:
We audited the existing campaigns, made strategic adjustments to ad copy, keywords, bidding, and targeting, and launched new Shopping, Search, and Display campaigns focused on high-performing keywords. Continuous A/B testing was employed to refine performance. By May 2024, ROAS improved to 4.38 (up 1,243.75%), and Avg. CPC decreased to $2.31 (down 38.89%), demonstrating the impact of our optimization efforts.
Problem:
The client’s Amazon store was under-performing, with April 2024 PPC campaigns showing a ROAS of 5.48 and ACOS of 18.26%, and total sales of $148,450.48, indicating room for optimization.
Solution:
Starting in April 2024, we optimized bidding strategies and keywords to drive targeted traffic. As a result, units ordered increased by 217%, PPC revenue grew by 331%, ROAS improved by 6.8% to 5.85, and ACOS decreased by 6.3% to 17.11%. Total sales revenue surged by 238%, reaching $501,671.62, highlighting the effectiveness of our optimization strategies.
The client’s Amazon store was under-performing, with April 2024 PPC campaigns showing a ROAS of 5.48 and ACOS of 18.26%, and total sales of $148,450.48, indicating room for optimization.
Solution:
Starting in April 2024, we optimized bidding strategies and keywords to drive targeted traffic. As a result, units ordered increased by 217%, PPC revenue grew by 331%, ROAS improved by 6.8% to 5.85, and ACOS decreased by 6.3% to 17.11%. Total sales revenue surged by 238%, reaching $501,671.62, highlighting the effectiveness of our optimization strategies.
Problem:
The client’s Amazon store was generating sales but at a low ROAS of 1.97 and a high ACOS of 51.01%, indicating inefficient ad spend. Campaigns were incurring excessive costs with minimal returns, impacting overall profitability.
Solution:
Upon taking over management on December 10, 2022, we optimized the campaigns by turning off low-performing keywords and products that were causing cost leakage, saving approximately $2,400. We also refined keyword bids to improve conversion likelihood. Within the first 30 days, ROAS improved to 4.24, and ACOS dropped to 23.60%. While sales revenue decreased initially, our focus was on enhancing profitability. The next step is to scale sales while maintaining the improved ROAS and ACOS.
The client’s Amazon store was generating sales but at a low ROAS of 1.97 and a high ACOS of 51.01%, indicating inefficient ad spend. Campaigns were incurring excessive costs with minimal returns, impacting overall profitability.
Solution:
Upon taking over management on December 10, 2022, we optimized the campaigns by turning off low-performing keywords and products that were causing cost leakage, saving approximately $2,400. We also refined keyword bids to improve conversion likelihood. Within the first 30 days, ROAS improved to 4.24, and ACOS dropped to 23.60%. While sales revenue decreased initially, our focus was on enhancing profitability. The next step is to scale sales while maintaining the improved ROAS and ACOS.
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