Are Your Targeting Strategies Delivering Maximum ROI?

Marketers are spending billions on targeted advertising, but without data-driven evaluation, many campaigns fail to maximize their impact. In 2022 alone, businesses spent $4.25 billion on targeted display ads, yet many marketers struggle to identify their most effective audience segments. Without clear insights, ad spend is wasted, conversion rates suffer, and customer retention declines.

Why External Data is Key to Optimizing Targeting Strategies

By integrating high-quality third-party data with internal analytics, businesses can:

Analyze past campaign performance to determine which targeting efforts drive the highest ROI
Predict audience behaviors & preferences to optimize future campaigns before competitors do
Enhance personalization by identifying high-converting audience segments
Increase marketing efficiency by reallocating budget to the most effective strategies

How It Works

🔹 Microsegment Attribution – Identifies the interests of specific audience groups to measure targeting effectiveness
🔹 Market Research Analysis – Tracks competitor campaigns to pinpoint opportunities for optimization
🔹 Predictive Analytics – Forecasts audience behaviors to refine ad spend and messaging strategy

Real-World Impact: Smarter Targeting in Action

Mastercard used an AI-powered marketing analytics platform to analyze previous campaigns, audience behaviors, and user experience data. The insights led to a 144% increase in click-through rates and revealed that unique, action-driven CTAs (e.g., “Start Something Priceless”) significantly outperformed generic ones like “Learn More”.

Turn Data Into Competitive Advantage

Even as privacy regulations evolve and cookie-based tracking declines, businesses that leverage first-party data and enhance it with external insights will maintain a competitive edge. A well-optimized targeting strategy doesn’t just cut costs—it drives higher engagement and conversions.

📩 Want to maximize your marketing ROI? Let’s talk about how external data can transform your targeting strategies.

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Live Webinar

Is “Quality” Killing Your AI? Defining Data Fit for Strategic Success

February 18th, 2026 / 1:00 PM EST

Every data investment carries risk unless you know how to measure its “fit” for the mission. Many organizations assume that “high-quality” data is sufficient for AI and analytics, only to discover too late that data fit is the real determinant of success. In this live session from Blue Street Data’s Building with Better Data series, Andy Hannah and Malcolm Hawker unpack why data that works for BI can be dangerous for AI, leading to model failure, wasted spend, and lost trust. You’ll learn how to define, measure, and validate data fit so your models deliver reliable, business-aligned outcomes. Reserve your spot today!