- “Hey! Saw your recent LinkedIn post on copywriting.”
- “Hey there – saw you went to Stanford too!”
- “Noticed you’re in NYC. Funny coincidence, me too!”
Why obvious personalization falls short
Let’s take a step back—why does personalization work in the first place? Well, it’s effective for two main reasons:- It makes the email feel 1:1 (personal) instead of 1:Many (impersonal)
- It builds trust by showing you understand the prospect’s unique situation
What “inference” actually means
The most effective personalization comes from inference: taking public information and connecting the dots to make an informed, value-adding observation about someone. Here’s an example. Suppose you notice on LinkedIn that a founder used to work as a freelance writer before starting their tech company. An obvious personalization would be “Saw your LinkedIn post on copywriting!” Now imagine they had a LinkedIn post on copywriting and you noticed they used to be a freelance writer before founding a startup. An inference would be:Hey - not too often you see founders who write. Emailing you because I’m a writer, too.This shows you understand their interests and current challenges. It’s thoughtful, not just personalized.
Going to make a guess that you plan on using LI as a way to pull in leads—and figure you’d like a hand writing.
Think it might be useful to have some help?
Why thoughtful inference works
Inference demonstrates that you:- Made an intelligent, non-surface level observation
- Understand the prospect’s unique situation
- Can thoughtfully relate your services to their specific needs
How to make effective inferences
Making thoughtful inferences takes some sleuthing and skill. Here are three tips to get it right:1. Identify meaningful breadcrumbs of data
Don’t just look for obvious data points like job titles. Find pieces of information, however small, that offer insight about interests, values, and priorities. Possible sources include:- Past work/life experiences
- Quotes and ideas they share and engage with publicly
- Jobs before they found their calling
- Initiatives and orgs they care about
2. Connect the dots
Look for relationships between the breadcrumbs that reveal opportunities where you can help. For example: A founder’s early writing experience + their scaling challenges as CEO → your opportunity to provide valuable writing services3. Ask thoughtful questions to confirm your inference
Avoid pretending your inference is rock-solid intel. Frame them as interesting questions instead to spark productive dialogue:I might be off base here, but seems like there’s a clear need for quality content in your org, but maybe you lack the time? Would it be interesting to chat about getting some help?
How we used inference in a real campaign
Here’s a real example from an Za-zu campaign that effectively used inference: Pod People produces an extensive annual industry report on trends shaping branded storytelling and experiential marketing. To inform this year’s report, we helped them connect with over 1,000 senior marketers globally to gather insights and expertise. We researched target prospects extensively, looking for “breadcrumbs” that revealed relevant experience. For example, someone’s blog posts on new frontiers like AR storytelling or passion projects outside work related to marketing tech innovation. We made thoughtful inferences about which trending topics and emerging ideas aligned well with each person’s demonstrated expertise. Then posed them as questions:Seeing your focus on digital storytelling campaigns, we think you’d be perfect to discuss topic X or Y in Pod People’s upcoming report. Does this direction align with innovation projects you’re working on currently and insights you could share?Our thoughtful personalization helped the campaign drive an incredible 10.75% cold email reply rate and over 50% positive, high-quality responses from previously complete strangers. Inference helps create value from the very first touch, effortlessly converting strangers into engaged recipients excited to contribute their knowledge.