Bing Ads Bidding Strategies
In Microsoft Advertising (formerly Bing Ads), bidding strategies decide how much you pay for clicks or conversions and how Microsoft optimizes your ads in auctions.
Choosing the right bidding strategy is crucial because it directly affects:
- Your ad visibility
- Cost per click (CPC)
- Lead or sales quality
Overall ROI
What Are Bing Ads Bidding Strategies?
A bidding strategy tells Microsoft Ads:
- How to bid in ad auctions
- What your main goal is (clicks, conversions, impressions)
- Whether bidding should be manual or automated
In simple words:
Bidding strategies control how aggressively or safely your ads spend money.
Why Bidding Strategies Matter
Using the right bidding strategy helps you:
- Control ad spend
- Reach the right audience
- Improve conversions
- Avoid overpaying for clicks
- Scale campaigns profitably
Wrong bidding strategy = wasted budget.
Types of Bing Ads Bidding Strategies
Microsoft Advertising mainly offers two categories:
- Manual bidding
- Automated (Smart) bidding
Let’s understand each one clearly.
1. Manual CPC (Cost Per Click)
How It Works:
- You manually set the maximum CPC for each keyword
- Full control over bids
- No automation involved
Example:
- You set ₹40 as max CPC
- Bing will not bid above ₹40 for that keyword
When to Use:
- Beginners learning the platform
- Small budgets
- Campaigns needing strict cost control
Requires regular monitoring.
2. Enhanced CPC (ECPC)
How It Works:
- You set manual bids
- Microsoft automatically increases or decreases bids based on conversion likelihood
Example:
- Base bid: ₹50
- Bing may bid ₹60 for high-intent users
- Or reduce bids for low-quality traffic
When to Use:
- When you want some automation but still control
- Conversion tracking is enabled
3. Maximize Clicks
How It Works:
- Microsoft automatically bids to get maximum clicks within your budget
Example:
- Daily budget: ₹1,000
- Sysem tries to get the highest number of clicks possible
When to Use:
- Traffic-focused campaigns
- Brand awareness
- New accounts without conversion data
Click quality may vary.
4. Maximize Conversions
How It Works:
- Bing optimizes bids to get maximum conversions
- Requires conversion tracking
Example:
- Goal: Form submissions
- Bing prioritizes users likely to convert
When to Use:
- Lead generation
- Sales-focused campaigns
- Accounts with some conversion history
5. Target CPA (Cost Per Acquisition)
How It Works:
- You set a target cost per conversion
- Bing tries to get conversions at or below that cost
Example:
- Target CPA: ₹500
- Bing optimizes bids to achieve leads around ₹500
When to Use:
- Stable campaigns
- Consistent conversion data
- Performance-driven advertisers
Needs sufficient conversion data to work well.
6. Target ROAS (Return on Ad Spend)
How It Works:
- You set desired return percentage
- Bing bids based on revenue potential
Example:
- Target ROAS: 400%
- For every ₹100 spent, aim for ₹400 revenue
When to Use:
- eCommerce campaigns
- Revenue tracking enabled
7. Target Impression Share
How It Works:
- Focuses on visibility instead of clicks or conversions
- You choose where ads appear (top, absolute top)
Example:
- Goal: Appear in top results for brand name searches
When to Use:
- Brand awareness
- Competitor bidding
Reputation campaigns
Real-Life Example
Example: Local Service Business
Goal: Get quality leads
Strategy Used:
- Start with Manual CPC
- Switch to Maximize Conversions after data
- Optimize using Target CPA
Result:
- Lower cost per lead
- Better-quality enquiries
Controlled ad spend
Best Practices for Bing Ads Bidding Strategies
- Start simple, then automate
- Use Manual CPC for learning phase
- Enable conversion tracking early
- Don’t switch strategies too often
- Give each strategy time to learn (7–14 days)
Common Beginner Mistakes ❌
- Using automated bidding without conversion data
- Changing bid strategy daily
- Setting unrealistic CPA or ROAS
- Ignoring performance reports
Bing Ads vs Google Ads (Quick Insight)
- Bing Ads bidding works similar to Google Ads
- Less competition = lower CPC
- Automation is slightly less aggressive
Strategy logic remains the same.