Data-driven marketing with Coreserve

In order to target this commercial segment from audiences, we created two types of campaigns based on the keyword type. One campaign addressed generic appliance searches and the other one addressed brand name searches. 

To achieve relevance for the generic campaigns, we prefixed words like “commercial’, ‘industrial’ and all their variants to the keyword. So instead of bidding for  ‘fridge repairs’, we were bidding for ‘commercial fridge repairs’.

For brand name searches, we compiled a list of appliance brand names segmented by commercial-only brands, domestic-only brands and brands that cater to both commercial and domestic consumers. Accurate audience segmentation was necessary to achieve cost efficiency in these campaigns, as we did not want to appear for any domestic repair searches if we could help it. 

We took advantage of Coreserve’s locational services and created ads that led with these important services & benefits using Google Ad’s geo customisers to maximise ad relevance. Google’s geo ad customisers are dynamic variables added to a Google Ads. The ad customisers use user location data to change the ad, based on where the user is located.  

We also designed a script that uses the weather forecast to adjust our adwords bid on fridge related keywords. When the temperature climbs above 30 degrees celsius in the cities our client services, our adwords bids are raised to increase our impression share.