Dara Fitzgerald - #MeasureFest Oct13 - Attribution with GA
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Transcript of Dara Fitzgerald - #MeasureFest Oct13 - Attribution with GA
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Attribution with Google Analytics.How to do it… and why you shouldn’t!.
Dara FitzgeraldHead of Insightwww.freshegg.co.uk@darafitzgerald
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Multi-session conversion analysis. The tools available.
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The tools available.
• Multi-Channel Funnels
• Attribution Modelling Tool
• Data-Driven Attribution (Premium only)
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Multi-Channel Funnels.
MCF includes assisted conversions metric. 43% of conversions are assisted here.
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Multi-Channel Funnels.
• Conversion tracking required (Goals and/or Ecommerce)
• Ensure correct campaign tagging or the data is meaningless• AdWords auto-tagging
• Manual campaign parameters (URL builder)• utm_source• utm_medium• utm_campaign
• E.g. http://www.abc.com/?utm_source=mailer&utm_medium=email&utm_campaign=sep13
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Multi-Channel Funnels.
Tailored channel groupings
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Multi-Channel Funnels.
Assisted and last are not mutually exclusive!
i.e. channels can assist & close the same conversions
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Multi-Channel Funnels.
AND
Organic true assist
Change to ‘include’ for organic self assist segment
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Multi-Channel Funnels.
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Multi-Channel Funnels. PPC contribution
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Attribution Modelling Tool.
LinearCredit split evenly across the entire conversion path.
Time DecayCredit reduces back from the point of conversion.
Position BasedFirst & last click heavily weighted; remainder split in the middle.
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Attribution Modelling Tool.
Compare up to 3 different models
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Data-Driven Attribution (Premium only).
• Algorithmic models
• Includes non-converting paths
• Transparency for model behaviour
• Channel weights are based on the impact that channel has on conversion probability
• Data from AdWords, GDN, DFA and cost import are available for ROI analysis
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Data-Driven Attribution (Premium only).
Prove value of upper funnel activity
The dash indicates this channel did not appear in this path position
% reflects the overall weighting of a channel at a particular position in the path
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What’s wrong with all this?
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#1. Offline impact.
Online campaign drives awareness
But purchase is completed offline
Attribution =
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#2. Cross-device purchase paths.
A single user…
Browses on mobile en route to work
Compares prices on work PC
Purchases on home laptop
Attribution =
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#3. The big issue.
Display Organic PPC
Point of initial conversion
Acquisition
Email Social Email
It should focus on lifetime value impact.
CRM activity
Attribution focusses on acquisition only. Retention is ignored.
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So, what should we be doing?
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Optimisation through controlled testing.
• Audience profiling, segmentation and conversion path analysis inform tests
• Testing is needed to determine causation. Customers predisposed to purchase need to be separated from incremental effect of advertising
• Attribution tools don’t make decisions; they inform the tests that determine decisions
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Optimisation through controlled testing.
Control Group100,000 visits
Normal exposure100,000 visits
3.0% conversion= £13,000 net profit
2.0% conversion= £100,000 net profit
Net per visit: £1
Test Group100,000 visits
Net per visit: £1.05
Normal exposure90,000 visits (90%)
Test exposure10,000 visits (10%)
2.1% conversion= £94,500 net profit
Net per visit: £1.30
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Optimisation through controlled testing.
• There are considerable challenges to this approach
• Splitting out test and control groups can be difficult and significant samples are required
• The biggest issue is testing the impact of combinations of channels as it is not easily possible to share targeting data across all channels.
• Remember testing should not be confined to acquisition channels but should also apply to retention
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Summary.
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Summary.
• Use MCF to better understand each channel’s role in conversion. Form hypotheses for testing
• Don’t mix different activities together, e.g. email newsletters and sales emails. Customise channel groupings in MCF as much as possible
• Don’t treat all conversions as equal. Look at paths for different conversion types separately
• Split true and self-assists for each channel and look at total channel contribution
• Universal Analytics promises to greatly enhance possibilities for Customer Lifetime Value (CLV) measurement and optimisation
• Run controlled tests to determine incremental value
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Thank You!Dara FitzgeraldHead of Insightwww.freshegg.co.uk@darafitzgerald