Google Ads Pro-B2B Google Ads optimization

Example

An e-commerce retailer selling outdoor gear runs a Performance Max campaign, which automatically optimizes ad delivery across all Google properties like Search, YouTube, and Display to maximize conversions.

Scenario

A retailer can let Google Ads Pro use machine learning to allocate the budget across the best-performing channels, including targeting specific high-conversion keywords and optimizing for key seasonal trends.

Example

A restaurant chain uses location targeting to show ads for specific menu items to people searching for food options within a 10-mile radius.

Scenario

By narrowing the audience to a specific geographic region, the restaurant ensures that its ads only appear to users who areJSON code correction likely to visit based on their proximity, improving ad relevance and conversion potential.

Example

A travel agency uses Smart Bidding to target customers likely to book flights and hotels by adjusting bids automatically based on historical conversion data.

Scenario

Smart Bidding adjusts bids for each ad auction, taking into account the likelihood of a conversion based on data like user behavior, location, time of day, and device. This approach helps advertisers manage their campaigns efficiently without constant manual adjustments.

Example

An online clothing store uses remarketing to show ads for items that customers viewed but didn’t purchase, bringing them back to the website to complete the sale.

Scenario

Remarketing helps recover lost opportunities by displaying personalized ads to users who previously visited the website, increasing the likelihood of conversions. A remarketing campaign can significantly boost ROI, especially when targeting users who are already familiar with the brand.

Example

A company running both display and search ads uses data-driven attribution to track how each ad interaction contributes to the final conversion and adjusts its budget allocation accordingly.

Scenario

This feature allows advertisers to understand which touchpoints in the customer journey contribute most to conversions. For instance, if a display ad generates awareness but a search ad leads to a purchase, data-driven attribution helps recognize both contributions, optimizing the marketing spend.