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Web Analytics How to raise effectiveness of websites and advertising campaigns Web Analytics How to raise effectiveness of websites and advertising campaigns

Web Analytics How to raise effectiveness of websites and advertising campaigns - PowerPoint Presentation

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Web Analytics How to raise effectiveness of websites and advertising campaigns - PPT Presentation

Andrew Yunisov Managing Partner Frequent visitor flow scenario Site CPM PPC Organic Referral Lost clients Clients 1 3 conversion 40 50 bounce rate Others are ID: 781927

analytics page web site page analytics site web website analysis testing data visitor find survey pages question bitrix bounce

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Slide1

Web AnalyticsHow to raise effectiveness of websites and advertising campaignsAndrew YunisovManaging Partner

Slide2

Frequent visitor flow scenario

Site

CPM, PPC

$$$

Organic,

Referral

$$$

Lost clients

Clients

1-

3%

conversion

40

-50

%

bounce rate

Others are

‘unknown’

Slide3

Visual ExampleA company runs PPC product campaignsBudget for PPC: $3,500 / month3

Many keywords with high bounce rates (up to 80% and even more)

Loss from bouncing keywords

~

$1,600

/

month (45% of ad budget)

Slide4

4Before: 1-3% conversion / 40-50% bounce

After

:

5

-1

0

%

conversion

/

20-3

0% bounceWhat 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)

Slide5

What does web analytics entail?5Standard 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?

»

Slide6

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 visitors

A 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.

6

Slide7

7

Optimize site for optimal behavior

Find out the client’s impression on the site

Data insights

Behavior

Impression

Result

Clickstream analysis

Click data segmentations ‘

Numerical analysis’

Visitor satisfaction

Surveys

A/B or MVT testing

‘Client voice’

Orders

Conversions Transactions and AOV

‘Nuances of results’

Increased KPIs

Full analytics cycle:

Trinity model by

Avinash

Kaushik

Slide8

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.

8

Slide9

Components of a survey using Bitrix CMS9

Slide10

Example survey in Bitrix CMS10

Slide11

Example survey in Bitrix CMS11

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%

Slide12

Testing allows you to check design efficiency before implementationEvery change on website that could affect its economic value should be testedVariety of testing instruments: Google Website Optimizer or Bitrix CMS additional scriptExample of the content elements testing for main page optimization: Р, Руб. or $, «Get money» or «Request a proposal

»

and hero text

Example of MVT-testing

12

Slide13

Example of MVT-testing13

Variation 2 was best

Advertising costs savings

– 12%

Number of orders doubled

2

1

3

Slide14

Answer the question: «What keywords are the least effective and why?»Optimize landing pages and/or change keywords14

Keyword testing

Slide15

Answer the question: «What pages are least effective?»The next step is to determine the causes of ineffectiveness15

Analysis of popular pages

Slide16

Why is a page ineffective?16

Page navigation patterns

Page

clickmap

(site overlay or in-page analytics)

Slide17

17Better understanding of link visibility on pageBest way to understand page interface problems

Post-click analysis

Slide18

18Internal funnel followed by only

1

/

66

or only

2%

Entry page to funnel needs to be checked

(navigation/overlay/

clicktale)

Website funnels analysis

Slide19

Funnel drop analysis using CliсkTale19

Slide20

Form analytics using ClickTale20

Get insights on visitor interaction with each field

Delete/rename dropping fields

Slide21

Internal website search analysis21

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

Slide22

The most insightful report for managers22Measure weighted conversions – contact page entry and lead have different business value

Slide23

23Monitoring

Notifying

Improving

Analyzing

Measuring

Continual web analytics process

Slide24

Thank you for your attention! Any questions? 24Andrew Yunisov

andrey@webprofiters.ru

+7 (903) 783-6448