SEO will get harder: Google about to introduce SSL for logged-in user searches, hiding keywords

Google have announced that more of their search traffic will be served from an encrypted SSL web server. What this means is that anyone arriving on your site will no longer pass through the keywords using in the search. This currently only applies to users who explicitly search from https://encrypted.google.com/. This latest change means anyone who is logged into a Google account will end up on the encrypted search.

This move suggests a trend of Google moving everyone to encrypted traffic, though undoubtedly it has taken some time to get the more complex and more difficult-to-scale SSL infrastructure built up to support the traffic. This is undoubtedly a good thing for security and freedom. The analogy that cypherpunks use is that if everyone wrote their letters on postcards, anyone who put a letter in an envelope would be suspicious. By putting all search traffic behind encryption, your boss, your network staff, your ISP, your censorship-obsessed control freak government or your despotic dictator won't be able to see what you're searching, whether you have something to hide or not.

The downside for online marketers, and particularly search marketers, is that organic search keywords will no longer be available in your web analytics data. The search keywords are passed through on the Referrer header when someone clicks on a link in a search engine, but only when the search engine is served by HTTP. When served from HTTPS (SSL) the referrer is not sent by standards-compliant browsers.

What this means is that search marketers will need to rely on search engine-supplied data to know what keywords people are searching for, and will have very little useful feedback of organic optimisation strategies. We're going to be flying blind.

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Google adds page level data to its Webmaster Tools providing AdWords equivalent for organic search

Exciting news for all data obsessed search marketers, Google just added page level data to its Webmaster Tools! Previously Google would only show you how your entire domain was ranking for organic search terms but now you can also see the same data for your top pages (see below).

Google Webmaster Tools will tell you what pages are ranking organically for what search terms, how many times your pages were displayed on search results pages (i.e. impressions), your average rank, the amount of clicks and the click-through rate including change over time.

Essentially Google is now providing marketers with the organic equivalent of AdWords data so download your paid search data from AdWords, your organic search data from Webmaster Tools and compare the two and I'm sure you will find some interesting insights that will allow you to optimise both your paid and organic search campaigns. 

Given there's already and integration between Google Analytics and Webmaster Tools (i.e. you can use the Google Analytics code to authenticate your site rather than having to add meta data), I'm also wondering how long it will take for Google Webmaster data to appear in Google Analytics so we don't have to manually compare the two data sets.

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Google launches another new search results page feature: Preview popup for organic search listings

Just in case you haven't noticed yet, Google introduced a new search results page feature - previews! If you don't click on the actual search result page link but just somewhere in the vicinity of the listing an overlay pops up showing a preview of what you will get if you decide to click through. 

Interestingly enough, the preview function is only available for organic search results (which seems a bit inconsequential) but nevertheless an interesting innovation and I'm wondering how this will impact click-through rates (please share if you notice anything in your data). If anything, the new feature will elevate the importance of appealing website design as I cannot imagine people clicking through to lame looking landing pages anymore.

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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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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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