There are a number of different paid and free tools available to track web traffic and web related trends. I have used a number of them and many of them have their strengths and weaknesses. The choice/s of your selected web analytics software depends on the purpose of your website and how these tools help you optimize the visitors' experience on your sites.
For a small website, perhaps Google Analytics or Yahoo Analytics is best. What have been your experience using such tools? I have also used fee based web analytics tools like WebTrends and Urchin.

So the most important question is, what do you do with the web traffic data? Do you read the reports consistently or once in a quarter?

Dani AI

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As asked: raw traffic counts are only useful when tied to clear business questions. A compact measurement plan turns visits into decisions — pick 3 to 5 KPIs that map directly to business outcomes (acquisition, engagement, conversion, retention), then instrument and validate only what supports those KPIs. Long lists of metrics tend to create noise rather than insight.

A simple, repeatable workflow that fits most sites:

  • Define 3–5 KPIs and the business question each answers.
  • Map pages, events, and campaigns to those KPIs (what needs to be measured to answer each question).
  • Standardize naming for campaigns/events and keep a short change log.
  • Instrument and run targeted QA on each critical interaction.
  • Build a small dashboard for weekly monitoring and set monthly deep-dive reviews tied to actions (tests, content changes, product fixes).

Combining sources, as noted by and , tightens coverage but introduces reconciliation work. Pick a canonical metric for reporting, log known measurement gaps, and document why numbers differ across sources so teams do not chase false discrepancies. For performance-sensitive signals, leverage browser timing APIs to capture client-side load metrics during QA; see the Performance API overview for reference (MDN Performance API).

Practical troubleshooting notes: enforce campaign-tag conventions to stop fragmented acquisition reporting; validate event firing on all major pathways (desktop, mobile, logged-in flows); set minimum sample thresholds before acting on small percentage changes; and keep a short instrumentation spec so long-term users like can preserve continuity if tools change or processes move in-house. Small, disciplined measurement plus a cadence for action will produce better results than ad-hoc report-checking.

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I am using google for long time.

Would you ever contemplate switching or looking into paid solutions?

I use a combination of Google, web stats from my hosting company, and a tracking software I purchased. I don't think paid solutions would be an option at this point, if anything I would look to pull the process more internal with tools I can purchase.

If you use a combination of tools it will avoid chances for missing cache.

There will also be differences in numbers between various web traffic tools because it depends if the data is from server logs or javascript.

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