Hi everyone, this is Neo.

There’s a dataset that’s been making rounds in my circle lately, and I’ve reread it several times — Zyppy SEO founder Cyrus Shepard analyzed 12 months of Google organic traffic data across 400+ websites, then did something that sent a chill down my spine: he sorted those sites into “winners” and “losers,” compared them one by one, and found out exactly which characteristics launched one group onto a traffic growth track and pushed the other group into a traffic collapse.

The conclusion is crystal clear, and brutal enough that you can’t look away:

Sites with zero “winner characteristics” only had a 13.5% chance of winning. Sites with all 5 characteristics saw their odds jump to 69.7%.

This isn’t a gradual improvement — it’s an exponential leap. What alarms me even more: plenty of Chinese cross-border independent sites that are actively being built have stumbled into at least 3-4 “loser characteristics” without realizing it, and only started asking “why” after Google’s March 2026 core update broke their traffic in half.

Today, I’m mashing together Cyrus Shepard’s research, Aleyda Solis’s Sistrix data, Lily Ray’s core update analysis, and Google’s overall direction in 2026 to answer one question clearly: for those of us building cross-border independent sites, what should our “websites” actually look like now, so we survive Google’s new rules — and thrive under them?

This one’s dense, so bookmark it before you read.

How was this study actually done?

Before you trust the conclusions, you need to see the methodology.

Cyrus Shepard’s sample for this study is mainly the same batch of websites that SEO analyst Lily Ray covered in her December 2025 core update analysis. On top of that, he added classification dimensions — business model, content type, creator profile, and so on — then used Spearman correlation to measure how strongly each characteristic was tied to year-over-year traffic changes.

Two things worth flagging:

1. The traffic data comes from third-party tools (like Ahrefs and SE Ranking), not directly from Google Search Console. That means the numbers are estimates — but since every sample used the same estimation method, the head-to-head comparisons still hold up.
2. The correlation coefficients sit in the moderate range (0.206 - 0.391) — not the “one-to-one” strong correlation, and not “no relationship at all” either — more like “statistically real, and worth using as a decision reference.”

This is a textbook “useful, but use with caution” study. It can’t promise you “do X and you’ll win,” but it hands you a clear checklist of winner commonalities — so you know which direction to push for better odds.

Neo’s take: The worst thing in SEO is guessing in the dark. The real value of Cyrus’s study isn’t any single number — it’s that it visualized, in numeric form, the value system behind this wave of Google updates. It shows us which types of sites Google is systematically rewarding and which it’s punishing — that’s a source of insight closer to the truth than any “algorithm interpretation”. Below I’ll break down the 5 winner characteristics one by one — score your own independent site against each.

Winner characteristic #1: Do you offer your own product or service?

70% of winners vs 34% of losers (correlation 0.391 — the highest of the five)

This is the most critical — and most counterintuitive — one.

A lot of content site folks will pause when they see this: “I put real effort into my content and get plenty of traffic, but I’ve never sold anything — is that wrong?”

Cyrus’s answer is measured: in Google’s 2026 logic, “sites that offer a product or service” get a clear preference. Note that “product or service” here includes:

• Physical goods (electronics, apparel, beauty, 3C)
• Digital products (SaaS, subscriptions, paid tools, online courses)
• Service products (consulting, booking, API, hosting)
• Even “content as a service” (like content subscriptions, specialized databases)

70% of winning sites have their own product or service, while only 34% of losers do — that’s not a coincidence. Google is using rankings to tell you exactly where it wants to send traffic.

The study gives a textbook comparison:

| Website | Type | Status | Reason | ||