Contextual advertising for a freight transportation company
Contextual Advertising
Comprehensive setup of contextual advertising in Google Ads has been completed with the aim of attracting targeted traffic and increasing the number of applications at an optimal cost per lead.
The following stages were implemented as part of the work:
– Analysis of the niche, competitors, and demand
– Collection and clustering of key queries considering commercial intent
– Formation of the structure of advertising campaigns (Search / Display if necessary, Performance Max)
– Writing relevant ads focusing on unique selling propositions and conversion
– Setting up ad extensions (sitelinks, callouts, structured snippets)
– Selection and implementation of negative keywords to filter out non-targeted traffic
– Setting up geo-targeting, ad scheduling, and bidding strategies
– Connecting and configuring conversions (forms, calls, applications)
– Integration with Google Analytics / GA4 if necessary
– Test launch and initial optimization of campaigns
Result — a correctly configured advertising system aimed at obtaining targeted inquiries, with transparent analytics and the possibility of further scaling and optimization.
The following stages were implemented as part of the work:
– Analysis of the niche, competitors, and demand
– Collection and clustering of key queries considering commercial intent
– Formation of the structure of advertising campaigns (Search / Display if necessary, Performance Max)
– Writing relevant ads focusing on unique selling propositions and conversion
– Setting up ad extensions (sitelinks, callouts, structured snippets)
– Selection and implementation of negative keywords to filter out non-targeted traffic
– Setting up geo-targeting, ad scheduling, and bidding strategies
– Connecting and configuring conversions (forms, calls, applications)
– Integration with Google Analytics / GA4 if necessary
– Test launch and initial optimization of campaigns
Result — a correctly configured advertising system aimed at obtaining targeted inquiries, with transparent analytics and the possibility of further scaling and optimization.