Five Tips in Ten Minutes
Conversion Thursday London13th Oct 2011
L3 Analytics
• L3 Analytics is a web analytics consultancy• The focus is on simplifying web analytics for companies• And on using the data to improve business performance
• I am not a salesperson so lets get onto the real stuff
• But I am an analyst so one thing first...• KPI – people who get at least one useful tip• Target – three quarters of the room
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Tip #1 – Social Media Tracking
• There are four types of Social Media traffic• Make sure you identify them all uniquely1. Paid marketing on social networks
– Use web analytics campaign tracking
2. Content posted on social networks– Use web analytics campaign tracking
3. Links generated through visitors clicking on buttons to share your content e.g.– Incorporate web analytics campaign tracking in the URLs
generated
4. Links posted on social networks by 3rd parties– Group domains under a new channel name through Marketing
Channels if using SiteCatalyst or profile filters if using GA
See http://www.l3analytics.com/2011/08/02/tracking-social-media-with-web-analytics/ 13th Oct 2011 Page 3
Tip #2 – Campaign Tracking Tools
• Staying on the topic of campaign tracking with web analytics tools
• DO IT!!!– Provides you with a single view of all traffic sources to your website– Allows you to view behaviour of visitors from different campaigns– Requires adding campaign parameters to landing page URL
• I have created Excel tools that help– GA tools are live & SiteCatalyst should be tomorrow
• All tools simply require you to enter campaign link details and press the button– Campaign details being URL, channel, campaign and other meta
data
See http://www.l3analytics.com/2011/09/08/google-analytics-campaign-url-builder/?utm_source=conversion%20thursday&utm_medium=events&utm_content=presentation&utm_campaign=ga%20campaign%20builder OR http://bit.ly/rrQSjE
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GA Social Media URL Builder
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Other GA Campaign URL Builders
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SiteCatalyst Campaign URL Builder
Define channels and meta data
One worksheet per channel
Extract complete set of data to upload via SAINT
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Tip #3 – Track Repeat Customers
• The behaviour of repeat customers is very different from new customers
• Therefore segment reports based on customer type• BUT you can’t rely on cookies• Solution => extract information on previous purchase
behaviour at point when visitors login – Whether creating account, logging in within or outside checkout
process, or arriving on the website with a persistent login– This won’t work for customers who guest checkout
• Extract the number of previous purchases & total purchase value
• Record this data in an event in GA or an eVar in SiteCatalyst• Segment away...
See http://www.l3analytics.com/2011/06/15/tracking-repeat-customers-in-google-analytics/ 13th Oct 2011 Page 8
Tip #4 – First Invest in Resources
• We now have another expensive Web Analytics tool in the market
• Companies are investing big sums in their web analytics tools
• I have a simple rule for you
• Do not spend £50k+ on a web analytics tool if you haven’t got at least two full time internal web analysts
• You will get more value from hiring more people• Use a free or cheaper tool in the meantime – when there are
questions which can’t be answered by that tool, then upgrade
• A more expensive tool won’t provide the answers alone without the craftspeople who know how to use it13th Oct 2011 Page 9
Tip #5 – My Favourite Report
• This data should be available through any web analytics tool – I can get it (nearly) via a standard report in GA
• It is Traffic Sources vs Entry Points with metrics of % Entries and Bounce Rate– Must have content grouped using profile filters in GA or s.prop in
SiteCatalyst– This can be site sections, page types or something else relevant– Can extend the analysis with engagement metrics or conversion
rates• Makes it easy to
– identify problem areas (high Bounce Rate) – an indication of scale of problem (high % Entries) – at multiple levels
• = actionable insights!!
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Setting up the report in GA
• Use your Content Grouping Profile• Select Landing Pages report• Select the Pivot visualisation• Change the pivot dimension to Medium• Add a second pivot metric of Bounce Rate• Extract insights...
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Using the data in Excel
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Thank You
For more tips...
• www.l3analytics.com/blog
• @peter_oneill
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