Bing Ads Strategy: Advanced Tactics for 2026

Once you've mastered the basics of Microsoft Advertising, it's time to leverage the platform's unique capabilities that many advertisers overlook. From exclusive LinkedIn targeting to Performance Max optimization, these advanced tactics separate profitable campaigns from mediocre ones.

This guide covers advanced strategies for experienced advertisers ready to scale their Bing Ads performance in 2026.

Beyond Basics: What Advanced Strategy Requires

Moving from beginner to advanced Microsoft Advertising requires shifting from reactive management to proactive optimization. The platform's AI-driven tools reward advertisers who provide better signals.

The Signal-Driven Approach

According to PPC trends in 2026, successful campaigns depend on the quality of data you feed into automation systems:

  • First-party data: Your customer lists and website visitor data
  • Audience signals: Professional attributes, in-market segments, remarketing lists
  • Conversion signals: Revenue values, lead quality scores, offline conversions
  • Search themes: Intent patterns that guide automation toward valuable queries

The brands winning in 2026 aren't fighting automation—they're feeding it better inputs.

Platform Advantages to Leverage

Microsoft Advertising offers unique capabilities unavailable elsewhere:

  • LinkedIn profile targeting: The only search platform with professional attribute targeting
  • Lower CPCs: 20-30% less than Google for equivalent keywords
  • Performance Max with search themes: Up to 50 themes per campaign
  • Copilot integration: AI-assisted optimization and insights
  • Third-party data partnerships: Epsilon integration for audience-led search

LinkedIn Targeting Strategies

LinkedIn targeting is Microsoft's most powerful differentiator—and most underutilized feature. When approached thoughtfully, it applies professional understanding to intent-driven inventory without breaking the bank.

Understanding LinkedIn Targeting Mechanics

LinkedIn profile targeting overlays professional attributes on top of keyword targeting. You can target by:

Dimension Coverage Example Use
Company 80,000+ companies Target specific accounts (ABM)
Industry 148 industries Reach entire vertical markets
Job function 26 functions Target decision-makers

Best Practices for LinkedIn in Search

Start with keywords that already convert, then layer LinkedIn targeting:

1. Choose one professional dimension first

Don't target by company AND industry AND job function simultaneously. If someone works for a company in an industry you're also targeting, you bid on them twice—compounding bid adjustments unnecessarily.

2. Begin with observation mode

Use LinkedIn targeting in observation mode before applying delivery constraints. This reveals which professional segments naturally engage with your ads without restricting reach.

3. Apply incremental bid adjustments

Start with 10-15% bid increases on proven keywords where search terms demonstrate business value. Increase more aggressively only if impression share lost to rank is high.

4. Align creative with professional context

When targeting specific industries or job functions, ensure ad copy speaks directly to their challenges. Generic messaging wastes the targeting precision.

LinkedIn in Audience Ads

LinkedIn Professional Demographics work as both targeting and observation layers in Audience Ads—bringing professional context to native, display, and video formats.

Aggregated reporting breaks down by company, industry, and job function, showing how different professional segments contribute to performance across campaigns. Find this in Reporting > Professional demographics.

LinkedIn in Performance Max

LinkedIn profile targeting functions as an audience signal within Performance Max campaigns, guiding budget allocation toward professional profiles with high profit potential.

Select signals reflecting your most valuable customers and ensure conversion metrics align with your goals.

Audience Segmentation

Beyond LinkedIn, strategic audience segmentation improves targeting precision across all campaign types.

In-Market Audiences

Microsoft's in-market audiences identify users actively researching products or services. Layer these onto search campaigns:

  • Use observation first: See which in-market segments engage before restricting delivery
  • Bid adjustments by segment: Increase bids for segments showing high conversion rates
  • Negative audiences: Exclude segments that click but don't convert

Remarketing Strategies

Impression-based remarketing captures users who saw your ads without clicking—a massive pool for follow-up targeting.

Build remarketing lists strategically:

  • Site visitors (all)
  • Product/service page visitors (high intent)
  • Cart abandoners (highest intent for ecommerce)
  • Converters (for exclusion or upsell)
  • Time-based segments (recent vs. stale visitors)

Custom Audiences

Upload first-party customer data to create custom audiences:

  • Past purchasers for loyalty campaigns
  • High-value customers for lookalike modeling
  • Lead lists for exclusion (don't advertise to existing leads)
  • Offline converters for better attribution

Similar Audiences

Once custom audiences have sufficient size, Microsoft generates similar audiences—users who share characteristics with your best customers. These expand reach while maintaining quality.

Bid Optimization

In 2026's AI-driven landscape, manual bidding has limited utility. But understanding how to optimize automated strategies remains essential.

Choosing the Right Bid Strategy

Strategy Best For Requirements
Manual CPC Learning new campaigns Time for daily management
Enhanced CPC Hybrid control Some conversion history
Maximize conversions Volume focus 30+ conversions/month
Target CPA Cost efficiency Stable conversion rates
Target ROAS Revenue optimization Revenue tracking enabled
Maximize conversion value Revenue focus Value data available

Bid Adjustments That Compound

Microsoft allows bid adjustments across multiple dimensions. Understand that adjustments compound:

Example:

  • Device adjustment: +20% mobile
  • LinkedIn industry adjustment: +15%
  • In-market audience adjustment: +10%
  • Schedule adjustment: +10% business hours

A user matching all criteria receives: 1.20 × 1.15 × 1.10 × 1.10 = 1.67x your base bid

This compounding is powerful when intentional—and expensive when accidental.

Value-Based Bidding

Move beyond counting conversions to prioritizing conversion quality:

  • Assign values to different conversion actions (demo request vs. content download)
  • Pass lead quality scores to Microsoft via enhanced conversions
  • Use CRM data to inform offline conversion values
  • Let automation optimize toward business impact, not just volume

Portfolio Bid Strategies

For accounts with multiple campaigns targeting similar goals, portfolio bid strategies optimize across the entire portfolio—allowing budget to flow toward the best opportunities regardless of campaign structure.

Performance Max Optimization

Microsoft expanded Performance Max search themes to 50 per campaign in January 2026—giving advertisers stronger control over automation.

Search Themes Strategy

Search themes function as strategic signals guiding Performance Max toward queries and intent patterns you care about. Unlike traditional keywords, themes don't restrict reach—they influence learning.

Best practices:

  1. Start with proven converters: Use search terms that already convert in search campaigns
  2. Group by intent category: Create themes around problem awareness, solution research, and purchase intent
  3. Partner with audience signals: Combine search themes with LinkedIn targeting to focus on high-value customers
  4. Use all 50: More themes give the algorithm more guidance—use the full capacity

Asset Quality

Performance Max campaigns achieve 4.2x more conversions when integrated with strong assets and data:

  • Provide complete creative across all formats (images, video, headlines, descriptions)
  • Refresh creative every 4-6 weeks to combat fatigue
  • Use high-quality product feeds for ecommerce
  • Test different asset combinations systematically

Audience Signals in Performance Max

Audience signals tell Performance Max who your ideal customers look like:

  • Customer Match lists (most valuable signal)
  • Website visitors and converters
  • LinkedIn profile attributes
  • In-market audiences relevant to your offering

The more specific your signals, the faster the campaign learns.

Scaling Tactics

Once campaigns are profitable, scale systematically rather than simply increasing budgets.

Horizontal Scaling

Expand reach without increasing keyword competition:

  • Add new product/service campaigns
  • Expand to additional geographic markets
  • Test new audience segments
  • Launch Audience Ads to complement search

Vertical Scaling

Deepen investment in what's working:

  • Increase budgets on top-performing campaigns gradually (20-30% increments)
  • Expand match types from exact to phrase to broad
  • Add more search themes to Performance Max
  • Increase bid adjustments on proven audience segments

Cross-Platform Integration

Leading brands diversify their media mix rather than relying on a single channel:

  • Coordinate Microsoft Ads with Google Ads strategy
  • Use Microsoft for audiences Google can't reach
  • Align messaging across search and social
  • Share learnings between platforms

Measurement and Attribution

As you scale, measurement must evolve:

  • Implement enhanced conversions for better attribution
  • Track view-through conversions for display impact
  • Use multi-touch attribution models
  • Connect CRM data to platform reporting

Frequently Asked Questions

What is the best bidding strategy for Microsoft Ads in 2026?

For most advertisers, automated strategies outperform manual bidding once you have sufficient conversion data (30+ conversions per month). Start with Target CPA if you have a cost goal, or Maximize Conversions if you want to scale volume. Use value-based bidding if you can pass revenue or lead quality data.

How do I use LinkedIn targeting effectively in Microsoft Ads?

Start by adding LinkedIn audiences in observation mode to learn which professional segments engage naturally. Then apply one dimension at a time (company, industry, OR job function—not all three). Use incremental bid adjustments of 10-15% initially and scale based on performance data.

How many search themes should I use in Performance Max?

Use all 50 search themes now available per campaign. More themes give Microsoft's automation better guidance. Start with search terms that already convert in other campaigns, group by intent category, and combine with LinkedIn targeting for maximum precision.


Key Takeaways

  • LinkedIn targeting is Microsoft's unique advantage—use it strategically with one dimension at a time
  • Search themes guide Performance Max—use all 50 and pair with audience signals
  • Bid adjustments compound—understand the math before stacking multiple adjustments
  • Value-based bidding beats volume—pass revenue and quality signals for better optimization
  • Scale systematically—increase budgets 20-30% at a time on proven campaigns

Ready to implement advanced Microsoft Advertising strategies? Contact our certified team for expert guidance, or schedule a consultation to discuss your campaign optimization goals.

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