By choosing ad types that your target demographic finds most appealing By relying on customer feedback for optimal ad placement By maximizing the number of conversions for a spend scenario…

A / B testing Google Ads are updated automatically Click-through rate averages require planning Auctions fluctuate all the time

Create alternative versions of best performing ad variations Apply specific bid adjustments to device and location targeting Add a themed group of negative keywords Set a specific target CPA (cost-per-acquisition)

Highly segmented insights are provided for daily campaign deep dives. Smart Display campaigns can automatically create video content. A Smart Display campaign can be created with minimal input from advertisers.…

Uses machine learning to target new demographics Sets your ad budget for maximum growth Forecasts how your current campaigns will perform in the future Recommends the perfect ad structure for…

Predictions built from ad portfolio data, aggregated across benchmark businesses. Predictions built from your performance history. Predictions built from files exported from your CRM. Predictions built from performance data across…

Campaign-level Target CPA (cost-per-acquisition) Applying bid adjustments to specific locations Including or excluding “Google search partners” Using “Target impression share” as an automated bid strategy

To create an optimized copy of your existing campaign, so that it can be tested with the drafts and experiments tool To determine which Google Ads features should be enabled…

Performance Calls-to-action Competition Languages

Distribution Validation Simulation Instrumentation Differentiation