Does Bing Ads provide recommendations based on historical view-through conversion data?

Yes, Bing Ads (Microsoft Advertising) does offer recommendations and insights based on historical performance data, including view-through conversions. These recommendations can help optimize your campaigns by leveraging historical data to improve overall performance and maximize your return on investment (ROI). Here's how Bing Ads uses historical data, including view-through conversions, to provide actionable recommendations:

1. Automated Recommendations
Performance Insights: Bing Ads provides automated recommendations based on historical performance data. For example, it may suggest adjustments to your bids, targeting, or ad copy based on trends observed in your campaigns, including view-through conversions. If historical data shows that view-through conversions are contributing significantly to your campaign's performance, the system may recommend strategies to increase exposure or refine your audience targeting to boost those conversions.

Ad Scheduling Adjustments: Bing Ads may suggest adjusting your ad schedule based on times when your ads are more likely to drive view-through conversions. Historical data helps identify the best times and days for your target audience to be exposed to your ads for optimal results.

2. Targeting Refinements
Audience Targeting: Bing Ads uses historical data to help you refine your audience targeting. For example, if your data shows that view-through conversions are more likely from specific demographics, interests, or device types, Bing Ads might suggest targeting optimizations such as narrowing down your audience to focus on these segments.

Remarketing Recommendations: Based on historical view-through conversion patterns, Bing Ads may recommend or enable remarketing campaigns. Remarketing focuses on showing ads to users who have previously visited your website or interacted with your ads but didn't immediately convert. View-through conversions can help identify the most valuable remarketing segments.

3. Bid Adjustments
Bing Ads may provide bid adjustment recommendations based on the historical success of your campaigns in generating view-through conversions. For example, if a certain audience segment (e.g., users on mobile devices or in a specific geographic area) has a high view-through conversion rate, the system may suggest increasing bids for those segments to further improve visibility and performance.

The system may also suggest bid adjustments based on the type of campaign you're running (e.g., brand awareness vs. direct-response campaigns). For brand awareness campaigns, view-through conversions are more critical, and Bing Ads might suggest increased bids or budgets to expand ad reach.

4. Ad Performance and Creatives Optimization
Bing Ads will analyze the performance of your ad creatives (including the view-through conversions they generate) and recommend improvements. For example, if a particular ad is consistently performing better in terms of view-through conversions, the platform might suggest running more versions of that ad or increasing its exposure.

Creative rotation and A/B testing recommendations can also be made to help optimize which ad creatives are more likely to drive view-through conversions and improve overall campaign performance.

5. Campaign Type Recommendations
Campaign Objectives: Bing Ads takes into account the objective of your campaign (e.g., brand awareness, sales, leads) and provides suggestions accordingly. For example, if you're running a brand awareness campaign, view-through conversions are a key metric. Based on historical data, Bing Ads may recommend strategies for increasing exposure to drive more view-through conversions, such as adjusting targeting options, expanding your keyword list, or increasing your ad budget.

Display Network Insights: If you're running Display Network ads and getting a significant number of view-through conversions, Bing Ads may recommend expanding your Display Network reach or focusing on specific sites where view-through conversions are higher.

6. Conversion Tracking and Attribution Insights
Attribution Models: Bing Ads allows you to select different attribution models (such as last-click or first-click), and based on your historical data (including view-through conversions), it may recommend the best attribution model for your campaign goals. This helps you better understand how view-through conversions play a role in the overall customer journey.

Conversion Tracking Recommendations: Based on your view-through conversion performance, Bing Ads may provide suggestions on how to improve or enhance conversion tracking to ensure all valuable actions are being captured. This could include setting up enhanced conversion tracking or implementing multi-touch attribution to better understand the full conversion path.

7. Budget Recommendations
Optimizing Budget Allocation: Bing Ads may use historical data related to view-through conversions to recommend budget reallocations. If certain ad groups, campaigns, or targeting settings are consistently generating view-through conversions, Bing Ads may recommend increasing the budget in those areas to capture more of that audience and drive further conversions.

8. Performance Monitoring and Adjustments
Bing Ads continuously monitors the performance of your campaigns, and based on view-through conversion data, it might suggest real-time adjustments to improve your ROI. If view-through conversions are consistently high for specific ads, devices, or locations, Bing Ads will likely recommend further investments in those areas.

Conclusion
Bing Ads leverages historical view-through conversion data to offer tailored, actionable recommendations designed to optimize campaign performance. These recommendations can help advertisers improve targeting, bid strategies, creative optimization, and campaign focus to maximize brand awareness, engagement, and ultimately conversions. Whether your goal is to improve immediate sales or nurture long-term brand loyalty, Bing Ads' ability to provide insights from historical view-through conversion data helps ensure that campaigns are continuously optimized for effectiveness and efficiency.