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Evaluating traffic sources and quality

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Transcription Evaluating traffic sources and quality


Differences between organic, direct, referral and social traffic

The origin of the visitor is an early indicator of their quality as a potential customer.

The acquisition report classifies traffic into channels such as "Organic Search" (search engines), "Direct" (type in URL), "Referral" (links on other sites) and "Social" (social networks).

Generally, organic traffic is considered high quality because it denotes an active intent; the user was looking for a solution that the company offers.

Conversely, social traffic often corresponds to users in "browsing" or entertainment mode, who may click out of curiosity but have less immediate purchase intent.

Evaluating the performance of each channel allows you to allocate marketing budgets more efficiently toward the sources that bring the most engaged users.

Search intent analysis (even with limited data).

One of the biggest challenges in modern analytics is the "not provided" phenomenon, where search engines hide the specific keywords users used to find the site for privacy reasons.

While this makes it difficult to know exactly what the customer was looking for, you can infer intent by analyzing landing pages.

If most organic users land on a guide on "how to repair X," their intent is educational. If they land on a product listing, the intent is transactional.

Complementary tools like Google Search Console are essential to retrieve some of this visibility and understand the search queries that are driving traffic.

Correlation between traffic source and conversion rate

Traffic volume is a vanity metric if it does not intersect with conversion. It is essential to use "secondary dimensions" in reporting to drill down into visitor quality.

For example, by cross-referencing traffic source with geographic location, you may discover that while a country contributes 40% of visits, it generates 0% of sales due to barriers such as exchange rate or purchasing power.

A detailed analysis could reveal that visitors from markets with strong currencies (such as the US or UK) have much higher conversion rates despite being fewer in number.

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