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Web Analytics How to raise effectiveness of websites and advertising campaigns Andrew Yunisov Managing Partner

Web Analytics How to raise effectiveness of websites and advertising campaigns Andrew Yunisov Managing Partner. Frequent visitor flow scenario. Lost clients. CPM, PPC $$$. Site. Organic, Referral $$$. 1- 3% conversion. Clients. 40 -50 % bounce rate. Others are ‘unknown’.

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Web Analytics How to raise effectiveness of websites and advertising campaigns Andrew Yunisov Managing Partner

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  1. Web Analytics How to raise effectiveness of websites and advertising campaigns Andrew Yunisov Managing Partner

  2. Frequent visitor flow scenario Lost clients CPM, PPC $$$ Site Organic, Referral $$$ • 1-3% conversion Clients • 40-50% bounce rate • Others are‘unknown’

  3. Visual Example A company runs PPC product campaigns Budget for PPC: $3,500 / month • Many keywords with high bounce rates (up to 80% and even more) • Loss from bouncing keywords ~ $1,600 / month (45% of ad budget)

  4. What are Web Analytics? • Web Analytics – the objective tracking, collection, measurement, notification and analysis of quantitative Internet data with the goal of optimizing websites and online marketing initiatives (Web Analytics Association) Before: 1-3% conversion / 40-50% bounce After: 5-10% conversion / 20-30% bounce

  5. What does web analytics entail? • Standard visitor report – only answers the question “What is happening?” • Web analytics mission – to answer the question «Why is this happening and what can be done further?»

  6. Numbers – nothing more than numbers… High number of page views (e.g. for specific keyword)Is this from good content or difficult navigation? Popular exit pagesIntended exit pages or bad page quality? High percentage of new visitorsA good trend or very few returning customers? There are many hidden secrets in data. The key is to use full analytics cycle to make numbers insightful and actionable.

  7. Full analytics cycle: Trinity model by AvinashKaushik Clickstream analysisClick data segmentations ‘Numerical analysis’ Optimize site for optimal behavior Behavior Find out the client’s impression on the site Data insights Visitor satisfactionSurveys A/B or MVT testing ‘Client voice’ Result Impression OrdersConversions Transactions and AOV ‘Nuances of results’ Increased KPIs

  8. Site surveys – what should one ask visitors? Why did you come to our site? (various answers) Was your visit successful? (Yes/No) Did you find the information you needed quickly? (Yes/No) Did you find the information on the site to be complete? (Yes/No) Was the information given in an understandable way? (Yes/No) What changes to the site would you recommend? (various answers) Survey is effective when you have an incentive for its completion. Every insightful data is paid and this is the cheapest one.

  9. Components of a survey using Bitrix CMS

  10. Example survey in Bitrix CMS

  11. Example survey in Bitrix CMS Discount on ticket after survey 80% of visitors viewing the schedule Schedule is on main page, that’s why it will be a bounce in the counter However, the visitor goal is completed The redesign pattern changed – no need for a new website, just add additional event blocks on main page Redesign cost reduction, sales in club (offline) grew by 30%

  12. Example of MVT-testing Testing allows you to check design efficiency before implementation Every change on website that could affect its economic value should be tested Variety of testing instruments: Google Website Optimizer or Bitrix CMS additional script Example of the content elements testing for main page optimization: Р, Руб. or$, «Get money» or «Request a proposal» and hero text

  13. Example of MVT-testing 3 1 • Variation 2 was best • Advertising costs savings – 12% • Number of orders doubled 2

  14. Keyword testing Answer the question: «What keywords are the least effective and why?» Optimize landing pages and/or change keywords

  15. Analysis of popular pages Answer the question: «What pages are least effective?» The next step is to determine the causes of ineffectiveness

  16. Why is a page ineffective? Page navigation patterns Page clickmap (site overlay or in-page analytics)

  17. Post-click analysis • Better understanding of link visibility on page • Best way to understand page interface problems

  18. Website funnels analysis • Internal funnel followed by only 1/66 or only 2% • Entry page to funnel needs to be checked(navigation/overlay/clicktale)

  19. Funnel drop analysis using CliсkTale

  20. Form analytics using ClickTale • Get insights on visitor interaction with each field • Delete/rename dropping fields

  21. Internalwebsite search analysis • Find the queries that don’t have landing pages • Analyze queries – for online store it means data-driven e-store assortment management • Non e-commerce – find the content to be added on website

  22. The most insightful report for managers • Measure weighted conversions – contact page entry and lead have different business value

  23. Continual web analytics process Monitoring Improving Notifying Analyzing Measuring

  24. Thank you for your attention! Any questions? Andrew Yunisov andrey@webprofiters.ru +7 (903) 783-6448

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