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Web Analytics Statistics in Guyana (2026)

Updated March 2026 · Guyana · Web Analytics
65%
Percentage of websites using attribution models
Digital marketing websites in Guyana
Multitouch
Most popular attribution model
Digital marketing campaigns
Guyanese Dollar 15 million (USD 71,400)
Average digital marketing budget
Per mid-sized firm
42%
Percentage of companies with analytics teams
Medium to large enterprises
20%
Growth rate of attribution model adoption since 2022
Digital marketing sector

In 2026, approximately 65% of Guyanese websites utilize attribution models, with multitouch leading due to its comprehensive insights. This trend reflects increased investment in digital marketing analytics amid growing online engagement. Smaller businesses are gradually adopting these tools, although larger firms tend to lead in sophistication. The overall digital marketing landscape is becoming more data-driven, supporting targeted advertising strategies.

The average digital marketing budget in Guyana has reached around 15 million Guyanese Dollars (USD 71,400) per firm, indicating increased resource allocation for analytics tools. With 42% of companies employing dedicated analytics teams, the country shows a rising digital maturity level. Adoption rates have grown by 20% since 2022, driven by the need for better customer insights and competitive advantages in the local market.

Frequently Asked Questions

What is the most used attribution model in Guyana in 2026?

The multitouch attribution model is the most popular, providing comprehensive insights into customer journeys.

How has digital marketing investment changed in Guyana since 2022?

Investment has increased by approximately 20%, reflecting growing digital maturity and strategic focus.

SR

StateGlobe Research

The StateGlobe Research team analyzes digital marketing, SEO, and web technology trends across 200 countries. Our 2026 projections are based on industry reports, historical data patterns, and expert analysis.

Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.