What is Segmentation?
Why is that bad?
Here’s 3 ways Boomtrain puts segmentation on steroids:
Back to that conceptual leap: Marketers want outcomes like clicks, shares, likes, subscriptions. It’s great if you found my email relevant, but that kinda means bupkis if you’re not going to engage it. Boomtrain’s competitive advantage is our advanced machine learning and predictive analytics. We don’t just know who’s most likely to enjoy any given piece of content, we also know who’s statistically most likely to “Like” that content on Facebook, or share it, or tweet it. So if you’re trying to drive Facebook Likes, or any other KPI, we can identify the segment of your audience that’s most likely to engage in the way you’re looking for and auto-optimize around that metric. (And, your campaign will automatically get smarter over time.)
Most segmentation is retroactive: using last month’s analytics to predict next month’s behavior. The problem is, today’s media landscape changes minute-to-minute. Users have an abundance of choice, and their shifting preferences are a reflection of that environment. Boomtrain offers real-time personalization. We can ingest, analyze and act on data in minutes, not weeks. When we create user segments for a campaign or an individual piece of content, we know who’s interested in that content today. We know if that topic is trending. We even know how and on what channel an individual is most likely to engage that content. Real time segmentation means your message is always hitting the segment that’s hungriest for it right now.
Boomtrain is a personalization platform, but that doesn’t mean we don’t believe in segmentation; we just believe in doing it better. The old way was “divide and conquer.” We say “adapt and engage.”