iMen online store
For the online store of mobile accessories, my main task was to conduct a detailed analysis of previous advertising campaigns and optimization to reduce the cost per conversion (CPC). Here is a detailed description of the work performed:
Analysis of previous advertising campaigns:
Conducted a detailed audit of existing campaigns in Google Ads, including analysis of keywords, ads, targeting, and landing pages.
Identified weaknesses that affected the increased cost per click and low conversion rate, including irrelevant keywords, ineffective targeting, and ads with low CTR (Click-Through Rate).
Assessed the competitive environment and trends in the mobile accessories sector to better navigate the market.
Keyword optimization:
Removed keywords that brought few conversions but were expensive.
Added low-competition but high-conversion keywords that contribute to reducing the cost per click (CPC) and increasing profitability.
Expanded the list of negative keywords to exclude irrelevant queries and reduce non-targeted traffic.
Bid and budget optimization:
Applied an automated bidding strategy focused on maximizing the number of conversions at minimal cost.
Optimized the budget based on the performance analysis of different ad groups and campaigns, reallocating resources to the most effective areas.
Analysis of previous advertising campaigns:
Conducted a detailed audit of existing campaigns in Google Ads, including analysis of keywords, ads, targeting, and landing pages.
Identified weaknesses that affected the increased cost per click and low conversion rate, including irrelevant keywords, ineffective targeting, and ads with low CTR (Click-Through Rate).
Assessed the competitive environment and trends in the mobile accessories sector to better navigate the market.
Keyword optimization:
Removed keywords that brought few conversions but were expensive.
Added low-competition but high-conversion keywords that contribute to reducing the cost per click (CPC) and increasing profitability.
Expanded the list of negative keywords to exclude irrelevant queries and reduce non-targeted traffic.
Bid and budget optimization:
Applied an automated bidding strategy focused on maximizing the number of conversions at minimal cost.
Optimized the budget based on the performance analysis of different ad groups and campaigns, reallocating resources to the most effective areas.