Research
Data-led reports on what marketing costs, converts and returns. Each one leads with its finding.
Where Your Buyers Actually Hang Out
9 min read
Find where your buyers gather by following the questions they ask rather than your assumptions. B2B, B2C, and creator audiences sit in different rooms with different rules, and a few watering holes beat being everywhere.
Trust Signals That Actually Convert
9 min read
A trust signal only works when it answers a specific fear at the point that fear arrives, and specific attributable proof beats vague praise. Unexpected costs and trust concerns drive abandonment, often cited around 70% of carts.
Where Brand Perception Actually Forms
8 min read
Brand perception forms in the sources a brand can shape least. Reviews, communities, and word of mouth settle opinion before the homepage loads, and AI answers now compress all of it into one verdict.
Do Online Reviews Actually Move the Needle?
8 min read
Online reviews do move money. A one-star Yelp rise tracked to roughly 5% to 9% more revenue for independent restaurants, and purchase likelihood tends to peak around 4.0 to 4.7 stars rather than a flawless 5.0.
What AI Overviews Did to Organic Traffic
11 min read
Google's AI Overviews cut click-through from about 15% to 8% on searches where they appear. Commodity and definition queries lost the most, while considered, high-intent clicks largely survived.
The Real Cost of Acquisition, by Channel
9 min read
A single blended acquisition cost averages away channels that behave nothing alike. Paid cost per customer climbs as you scale while content compounds, so read acquisition cost, payback period, and retention as one picture.
What a Good Conversion Rate Actually Looks Like
7 min read
Online stores commonly convert about 2% to 3% of sessions into a purchase, but traffic quality and intent move that number more than any headline or button, so your own rate as a trend is what matters.
Why Reddit and Community Content Show Up So Often in AI Answers
6 min read
Reddit and community content show up constantly in AI answers because forum threads read as real, varied, and current, and a thread shows what many users concluded rather than what one vendor claims.
