Building a metric

Every link-building team has data. Not every team knows how to weigh it. This is the story of how I turned gut instinct into a scoring system the whole organisation could use.

Year
2024-2025

Client
Traffic Lab Aps

Link-building formula

The Problem

Link-building in competitive markets means evaluating dozens of potential opportunities every week. Each one comes with a stack of metrics - Domain Rating, organic traffic, ranking keywords, spam score, PowerTrust, Topical Trust Flow and more. The data was all there. The problem was that nobody had a consistent way to weigh it. In practice, decisions came down to gut feeling. One team member might prioritise DR. Another might focus on traffic. A third might have a hunch about topical relevance. There was no shared standard, which meant inconsistent acquisitions, wasted outreach time, and a backlink profile that grew without a clear strategy behind it.

The insight

The issue wasn't a lack of data - it was a lack of hierarchy. Not all metrics are created equal. A strong Topical Trust Flow in our exact niche is worth far more than a high DR, because DR is easily manipulated while topical relevance is not. But that knowledge lived in my head, not in a process anyone else could follow. For link-building to scale properly, the decision-making framework needed to be externalised - turned from instinct into infrastructure.

What we built

I developed a proprietary valuation formula that assigns a weighted score to each metric based on its actual importance to our specific market and goals. Every potential link opportunity runs through the formula and receives a score out of 100. The closer to 100, the stronger the opportunity. The weighting wasn't decided alone - I ran a workshop with the different teams involved in link acquisition so that the priorities reflected collective expertise. Outreach became significantly more focused. Links that scored highly got prioritised. Low-scoring opportunities got dropped without debate. The outcome was threefold: time saved, money saved, and a measurably healthier backlink profile. But perhaps more importantly, link-building stopped being a specialist black box and became something the whole team could participate in confidently. The best frameworks don't just solve a problem. They make the solution accessible to everyone.

A spreadsheet with multiple columns containing data, including categories like 'recreations', 'Regional', 'Sports', 'games', 'computers', 'Adult', 'business', 'Shopping', and 'Business'. The columns include headers such as URL, IP, DR, DT, KW, LD/RD, TF/CF, TTF, Power*Trust, TTF Score, and Link Score, with various numerical values below.
A desk with a pair of glasses, a notebook, a person writing in a notebook, a glass of water, and vases with minimalist decor, including one with a bent orange flower.

"The best frameworks don't just solve a problem; they eliminate the debate. I built a proprietary scoring system that removes guesswork, saving time and budget by focusing the team’s energy only on the opportunities that move the needle"

— Valeria Caro