Contextual advertising for an online electronics store
About the client:
The client is engaged in the sale of electronics and household appliances (smartphones, laptops, gadgets for them, and mobile accessories). They have a network of offline store branches and an online store with delivery across Ukraine. They are an official distributor of many well-known brands and offer installment plans and credit for purchases. They provide an official warranty.
The client came to us after an audit of Google Ads campaigns, in which we pointed out errors and showed growth opportunities.
Input data:
Monthly advertising budget - 50,000 UAH;
Geotargeting - Ukraine, except for Crimea;
Network - Google Ads;
Show time - 24/7;
Tracking the effectiveness of contextual advertising based on transactions from Google Analytics.
Goal - to create a profitable sales channel and increase the number of transactions.
Project tasks
Creation of a technical specification for the product feed, in which the categories would repeat the structure of the website. Previously, all products were in one category, and accordingly, there were no divisions by trading campaigns. We wanted to break down the trading campaigns by categories, as on the website.
We created simple trading campaigns for each product category. We tracked each of them and redistributed the budget according to the number of sales: where there were more sales, we increased the budget, where there were fewer, we decreased it.
We launched dynamic remarketing for users who viewed a specific product. The goal is to show our ads with this and similar products on the Google Display Network websites.
Plans include creating combined lists based on recency on the website and seeing what this leads to. It is quite possible that there is no point in showing ads to people after a certain number of days since they viewed a product on the website.
Once a week - we managed bids manually to reduce the cost of potential customers and increase the conversion rate.
Every 5 days - working with search queries to exclude irrelevant queries.
After simple trading campaigns reached 10 transactions, we transferred them to smart trading campaigns.
Account management has been ongoing since September 2020 to the present.
As a result, contextual advertising provided:
Transactions: 480.
Average transaction price: 209 UAH.
Conversion rate: 0.64%.
Margin: 10%.
Advertising expenses: 100,234.23 UAH.
ROMI (return on marketing investment) based on gross profit: 844%.
The client is engaged in the sale of electronics and household appliances (smartphones, laptops, gadgets for them, and mobile accessories). They have a network of offline store branches and an online store with delivery across Ukraine. They are an official distributor of many well-known brands and offer installment plans and credit for purchases. They provide an official warranty.
The client came to us after an audit of Google Ads campaigns, in which we pointed out errors and showed growth opportunities.
Input data:
Monthly advertising budget - 50,000 UAH;
Geotargeting - Ukraine, except for Crimea;
Network - Google Ads;
Show time - 24/7;
Tracking the effectiveness of contextual advertising based on transactions from Google Analytics.
Goal - to create a profitable sales channel and increase the number of transactions.
Project tasks
Creation of a technical specification for the product feed, in which the categories would repeat the structure of the website. Previously, all products were in one category, and accordingly, there were no divisions by trading campaigns. We wanted to break down the trading campaigns by categories, as on the website.
We created simple trading campaigns for each product category. We tracked each of them and redistributed the budget according to the number of sales: where there were more sales, we increased the budget, where there were fewer, we decreased it.
We launched dynamic remarketing for users who viewed a specific product. The goal is to show our ads with this and similar products on the Google Display Network websites.
Plans include creating combined lists based on recency on the website and seeing what this leads to. It is quite possible that there is no point in showing ads to people after a certain number of days since they viewed a product on the website.
Once a week - we managed bids manually to reduce the cost of potential customers and increase the conversion rate.
Every 5 days - working with search queries to exclude irrelevant queries.
After simple trading campaigns reached 10 transactions, we transferred them to smart trading campaigns.
Account management has been ongoing since September 2020 to the present.
As a result, contextual advertising provided:
Transactions: 480.
Average transaction price: 209 UAH.
Conversion rate: 0.64%.
Margin: 10%.
Advertising expenses: 100,234.23 UAH.
ROMI (return on marketing investment) based on gross profit: 844%.