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Meta Ads – Geolocation Testing for B2B Targeting

The Problem with B2B targeting:

  • Is common to have a custom audience with outbound emails, most of them are proffessional emails and does;t match with platfrom targeting. So, its a very tricky thing to do.
  • We have to serve 1000 impressions, to get 10 valuable impressions for us.
  • People not always care about our product, so we have to show them what they are going to get from us, what only what we offer.
  • The funnel filling might also be b2c and this is something that we need to understand and try to have a different strategy.

The Complex Landscape of B2B Targeting: Challenges and Solutions

In today’s digital marketing landscape, B2B targeting presents unique challenges that differ significantly from B2C approaches. While the principles might seem similar at first glance, the reality of reaching and engaging business decision-makers requires a more nuanced and strategic approach. Let’s dive into the key challenges and explore potential solutions.

The Email Matching Dilemma

One of the most significant hurdles in B2B targeting lies in the disconnect between outbound email lists and platform targeting capabilities. Many businesses build carefully curated lists of professional email addresses for their outbound campaigns. However, these corporate email addresses often don’t align with the personal email addresses that professionals use to log into social media and advertising platforms.

This misalignment creates a substantial challenge: how do you reach professionals who maintain separate digital identities for work and personal use? The solution often requires a multi-channel approach, combining:

  • LinkedIn targeting for professional contexts
  • Cross-reference matching using company domains
  • Look-alike audience creation based on existing customer profiles
  • Industry-specific platform targeting

The Efficiency Challenge: The 1000:10 Rule

Perhaps one of the most frustrating aspects of B2B targeting is what we might call the “1000:10 rule” – the need to serve approximately 1000 impressions to generate just 10 valuable interactions. This inefficiency stems from several factors:

  • Job title variability across organizations
  • Decision-maker identification challenges
  • Multiple stakeholders in the buying process
  • Industry and company size variations

To improve this ratio, marketers need to:

  1. Implement robust pre-qualification criteria
  2. Use intent data to identify companies actively in the market
  3. Develop more sophisticated targeting parameters
  4. Regularly refine and update audience segments

Value Proposition: Beyond Features and Functions

When targeting B2B audiences, there’s a critical need to shift focus from what we offer to what the customer gains. Business decision-makers are bombarded with product pitches daily, leading to what we might call “solution fatigue.” The key is to demonstrate clear, measurable value in terms that resonate with their specific challenges:

  • Cost savings and ROI projections
  • Time efficiency improvements
  • Competitive advantages
  • Risk reduction metrics
  • Implementation ease and timeline
  • Integration capabilities with existing systems

The B2C/B2B Funnel Overlap

A often overlooked complexity in B2B targeting is the significant overlap with B2C funnels. Many business decision-makers begin their journey as individual consumers, researching solutions for their organizations through personal channels. This dual nature of the modern B2B buyer requires a sophisticated approach to funnel management:

Understanding the Hybrid Funnel

  • Recognition that business research often begins in personal contexts
  • Awareness of the shift between personal and professional decision-making
  • Consideration of both individual and organizational pain points
  • Implementation of tracking that spans personal and professional interactions

Strategic Implications

To effectively address this hybrid nature, organizations need to:

  1. Develop content that speaks to both personal and professional motivations
  2. Create seamless transitions between B2C and B2B messaging
  3. Implement attribution models that account for cross-context journeys
  4. Design remarketing strategies that respect the dual nature of the audience

Moving Forward: A Holistic Approach

Success in B2B targeting requires acknowledging and adapting to these complexities. Organizations need to:

  • Invest in robust data infrastructure that can handle both B2B and B2C contexts
  • Develop flexible content strategies that can speak to various audience segments
  • Implement sophisticated tracking and attribution models
  • Regularly review and adjust targeting parameters based on performance data

By understanding and addressing these challenges head-on, organizations can develop more effective B2B targeting strategies that acknowledge the complexity of the modern business buying journey while maximizing the return on their marketing investments.

Strategic Objectives in B2B Performance Marketing: A Framework for Success

Building on our understanding of B2B targeting challenges, let’s explore the strategic framework needed to achieve meaningful results in the B2B space. Our approach focuses on four key pillars that form the foundation of effective B2B performance marketing.

Precision-Based Brand Awareness

The traditional spray-and-pray approach to brand awareness no longer suffices in the B2B landscape. Instead, we need to focus on creating targeted awareness where our potential customers conduct their business, significantly reducing wasted ad spend on random targeting.

Implementation Strategy:

  • Geographic and industry-specific targeting overlays
  • Professional network presence optimization
  • Custom audience development based on firmographic data
  • Industry-specific content distribution channels
  • Behavioral targeting based on professional interests

Cost Optimization Techniques:

  • Layered targeting approaches using multiple data points
  • Time-based targeting during business hours
  • Device-type targeting focusing on business devices
  • Network-level targeting for corporate environments
  • Integration with IP-based company identification tools

Outbound Enablement and Lead Quality Assessment

Performance marketing shouldn’t exist in isolation from outbound efforts. Instead, it should serve as a powerful enabler, preparing potential customers for direct approaches while simultaneously providing valuable data about lead quality from various sources.

Pre-Approach Preparation:

  • Content exposure mapping for target accounts
  • Multi-touch point engagement tracking
  • Brand familiarity building through retargeting
  • Educational content distribution
  • Social proof and case study exposure

Lead Quality Analysis:

  • Engagement scoring based on interaction patterns
  • Cross-reference analysis with scraping tool data
  • Response rate correlation studies
  • Industry-specific conversion patterns
  • Lead source quality comparison metrics

Industry Performance Analysis Framework

Understanding which industries respond best to performance marketing approaches allows for more efficient resource allocation and strategy refinement.

Key Performance Indicators:

  • Industry-specific conversion rates
  • Cost per acquisition by sector
  • Sales cycle duration analysis
  • Lifetime value predictions
  • Channel effectiveness by industry

Analysis Components:

  1. Vertical-specific engagement patterns
  2. Budget sensitivity by industry
  3. Decision-making process variations
  4. Content consumption preferences
  5. Platform effectiveness across sectors

Future-Focused Lead Nurturing

Generating and maintaining a pipeline of leads for future communications requires a sophisticated approach to keep prospects engaged with your brand over time.

Nurturing Strategy Elements:

  • Content journey mapping
  • Engagement cadence optimization
  • Multi-channel touchpoint coordination
  • Value-driven communication planning
  • Relationship building through thought leadership

Implementation Techniques:

  1. Automated nurture sequences based on engagement levels
  2. Industry-specific content tracks
  3. Behavioral trigger-based communications
  4. Progressive profiling implementation
  5. Account-based marketing integration

Measurement and Optimization Framework

To ensure these objectives are met effectively, a robust measurement and optimization framework is essential.

Key Metrics to Track:

  • Cost per Marketing Qualified Lead (MQL)
  • Industry-specific conversion rates
  • Engagement depth metrics
  • Content effectiveness scores
  • Return on Ad Spend (ROAS) by channel
  • Customer Lifetime Value (CLV) predictions

Optimization Levers:

  1. Channel mix adjustments
  2. Content type effectiveness
  3. Targeting criteria refinement
  4. Budget allocation optimization
  5. Creative performance analysis

Integration and Execution

Success in achieving these objectives requires seamless integration across various marketing and sales functions:

Cross-Functional Alignment:

  • Marketing and sales team coordination
  • Data sharing protocols
  • Lead scoring alignment
  • Communication cadence agreement
  • Success metric standardization

Technology Stack Requirements:

  1. CRM integration capabilities
  2. Marketing automation platforms
  3. Analytics and tracking tools
  4. Lead enrichment solutions
  5. Performance marketing platforms

Looking Ahead

As we implement these strategies, it’s crucial to maintain flexibility and adaptability. The B2B landscape continues to evolve, and our approach must evolve with it. Regular review and refinement of these objectives ensure they remain aligned with business goals while adapting to changing market conditions.

This strategic framework provides a solid foundation for achieving our core objectives while maintaining the agility needed to adapt to market changes and emerging opportunities.

The process:

To build the test right we will need: 

  • We need a data export from the data exporter tool we have. 
  • We will split the testing in city or state level, also in industry. This is because we will need to get instant feedback and make changes when needed. 
  • We need to create an export on Google Sheets that will contain the potential customer data, including lat-long and full address. 
  • I will import the data to the platform in order to match the locations and create a radius location targeting of 1mi (or 1km). Here we are going to have a much rate of the addresses around 90%, maybe better. 
  • The testing will last around 15-30 days trying to achieve at least 3 ad impressions for this period to the whole audience.  
  • If we get direct demo books, we need to cross check the emails weekly, and exclude the submitters from the list. The rest should get a cold email from the outbound  team in the end of the testing cycle.

Specifications:

  • We give the platform the addresses 
  • We get the matching addresses on the map 
  • We select the radius we would like to target
  • Outscraper test was about 97% match rate  
  • Limit of 200 locations per concept promoted.