Stop misallocating media budgets using multi-channel media attribution with Google Analytics

Update: Video on new Google Analytics multi-channel funnel reports

Thanks to Google we're all used to measuring campaigns on a 'last click gets all the credit' basis (or occasionally first click). That is, all conversions (i.e. sales, leads, form completions, etc) are tied back to the last (or first) media channel that a person responded to respectively clicked on before converting.

Unfortunately, this method ignores all other touch points that a consumer might have responded to leading up to a conversion which also contributed to some extend, resulting in the undervaluation of certain media channels and ultimately the misallocation of marketing budgets (i.e. some channels are more likely to introduce a product rather than closing the deal and these miss out using last click attribution, see graph at the bottom comparing first and last click attribution).

Google is trying to address this through their new AdWords Search Funnel feature, however the Google reports do not include any organic channels or direct to site visits which do play a significant role in a consumer's path to purchase. In fact, organic search terms that include brand keywords and direct to site visits stimulated by some other form of media (i.e. TV, radio, print, etc) account for the majority of conversions on most websites (so we think they should be included).

To solve this issue for one of our clients, NDS (Carecareers), we used some custom JavaScript to record a stack (or path to purchase) of all campaign touch points across paid and organic channels in one of the Google Analytics custom segmentation variables (see chart below for a sample of the raw data). For simplicity sake we only recorded top level channel (i.e. SEO, SEM, direct, etc) in this case but this could be as granular as you want (i.e down to ad groups or even search terms).

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The data on its own however is not very useful, you just end up with a long list of unique channel combinations (the above is only showing the tip of the iceberg) so we had to export the raw data from Google Analytics and analyise it using the Tableau business intelligence software. To make sense of the data and accommodate the various different purchase path combinations we decided to follow the ClearSaleing model and classify all touch points as either introducer, influencer or closer (see graph below and at the very bottom).

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Looking at the simplified example above we realized that paid search responses play an important role both as introducers and as closers, but not so much as influencers (we're thinking that unbranded terms make up most of the introducers and branded terms most of the closers but we don't have the data yet). Conversely, the importance of organic search, direct to site visits and emails (activity just started) might have been understated in the standard last click based reports up until now as they are more likely to act as influencing channels (SEO might pay off after all).

Given the above results and relatively simple data collection and analysis method we think there's really no excuse for marketers anymore to keep relying on last click media attribution so please drop us a line at insights@datalicious.com if you would like to find out more.

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E*Trade: Omniture SiteCatalyst implementation review including media attribution and optimisation

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Challenge

To quantify the impact of offline and online media spend on new customer acquisition, along with the construction of a reporting and analytics framework to continually optimise media budget allocation using a better understanding of customer vs. non-customer navigational paths. 

Solution

Major review and upgrade of the existing Omniture SiteCatalyst deployment to build a data collection foundation that could properly address the core business KPIs. A controlled display exposure test was used to quantify the incremental conversion uplift from online display advertising and to determine the real media cost per acquisition. In addition, a website entry survey was used to further analyse the impact of existing brand equity and offline media activity on online channels, specifically navigational search and direct to site visits. It was particularly important to look at the differences between customers and non-customers.

Results

E*Trade now has the ability to report on and de-duplicate conversions across all paid and non-paid media channels as well as to clearly differentiate between customers and non-customers. The marketing team can now not only optimise the company's media mix for maximum acquisition efficiency but also use the data to develop a smoother customer experience and media attribution model. The developed reporting and analytics framework provides the client with the ability to analyse a range of core KPI's on an ongoing basis, putting the business in an excellent strategic position moving forward.

Testimonials

"E*Trade Australia was originally looking for a provider who could help us optimise our media spend and Datalicious brought with them best practice analytics to demonstrate the true value of our marketing dollars. Since then, they have become a critical business partner in their support of our Omniture analytics implementation. They've provided great insights which have driven key business decisions." Trang Young, Senior Internet Marketing Manager, E*Trade Australia

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Target: Integrated campaign planning and analytics delivering Christmas like results mid year

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Challenge

Develop an integrated campaign flow across traditional and digital channels to maximise impact and implement the necessary analytics framework to evaluate campaign performance.

Solution

Development of integrated campaign experience in cooperation with the client’s creative and digital agencies to enable a smooth campaign flow and optimal user experience designed to push social sharing. The early development and integration of the analytics framework into campaign planning process from the very beginning ensured tracking best practice was followed and a maximum amount of data could be collected across all channels. The project also included an in-depth review of the current Google Analytics set-up leading to the implementation of advanced website visitor segmentation capabilities.

Results

Traffic levels on the Target network of sites increased significantly during the integrated campaign, for the first time rivalling historic peaks from previous Christmas periods mid year. The campaign also resulted in a visible increase in retail transactions in the targeted product category and an increase in new CRM program subscribers, delivering and overall positive return on media investment. Thanks to a system of unique vouchers and the availability of advanced segmentation options in Google Analytics, the generated retail revenue could be tied back to the originating media channels and broken down by various segments delivering additional customer insights.

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Simplot: Omniture SiteCatalyst delivering advanced user preference insights from new recipe website

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Challenge

Implement, maintain and manage an advanced web analytics platform to optimise media designed to driving website subscriptions and generate additional customer preference insights.

Solution

Design, implementation and ongoing management of Omniture web analytics platform across Simplot’s set of brand and recipe websites. The final solution enabled Simplot to enrich and verify their user profiles with website behavioural data, feeding into other research projects including the development of more accurate customer segments.

Results
 
Insights generated online are used by Simplot’s test kitchen team on an ongoing basis to further their understanding of the target market and actively shape the company’s product development strategy. Web analytics data has not only helped to improve the company’s search marketing performance leading to a significant increase in its recipe subscribers but also to analyse user preferences regarding recipes and ingredients as well as brands by customer segment. 
 

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Tourism Western Australia: Omniture SiteCatalyst and Traction integration for smarter email targeting

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Challenge

Implement, maintain and manage a combined email-marketing and web analytics platform designed to enhance visitor profiling and thus increase content relevance and user interaction.

Solution
 
Design, implementation and ongoing management of an integrated Traction email and Omniture web analytics platform. The final solution enabled Tourism WA to identify and profile individual travellers based on their campaign and website behaviour and allowed us to segment website visitors according to their specific destination interests as well as types of holiday packages.
 
Results

Using interest based customer segmentation with smart targeting and trigger based email campaigns we were able to increase email open and response rates by almost 100% compared to the travel industry average. Combining user profiles with website behavioural data generated valuable additional insights that will be influencing the planning and execution of future campaigns.
 

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