Tuesday, 30 April 2013

A version of this post originally appeared on the DoubleClick search blog.

Back in October, we announced the beta release of display remarketing from search ads, which allows advertisers to use insights from paid search clicks to remarket to audiences across ad exchanges via DoubleClick Bid Manager, or the Google Display Network (GDN) -- all with a seamless, tagless workflow. 

We’re excited to announce that display remarketing from search ads is now out of beta, and is available to all DoubleClick Search customers globally. This brief video provides a visual explanation:


Already, customers have shown some impressive results. Anton Kanis, Head of Business Solutions, Netherlands for OmnicomMediaGroup, has been using the feature to remarket via DoubleClick Bid Manager. Kanis notes “Display remarketing from search ads is proving itself to be a very valuable feature, often outperforming regular funnel remarketing and sometimes even search in terms of CPA.”

If you’re interested in trying display remarketing from search ads to take advantage of more cross-channel opportunities, reach out to your DoubleClick representative, visit the DoubleClick site, or contact the DoubleClick Search support team at ds-support@google.com.

Posted by the DoubleClick Team

Thursday, 25 April 2013

Savvy marketers understand that you don’t always seal the deal with a single message, image, or advertisement. A user may see a display ad, click on a link from a friend, or do a search before buying something from your website — and all of these interactions can play a role in the final sale. It’s important to understand the entire customer journey so you can measure all of the elements that contribute to your campaigns, attribute the right value to them, and adjust your marketing budgets where appropriate.

That’s the philosophy behind Google Analytics tools like Multi-Channel Funnels and Attribution Modeling. Tens of thousands of our largest advertisers are gaining valuable insights from Multi-Channel Funnels every month, and we’ve collected these insights using aggregate statistics to develop a benchmarking tool — The Customer Journey to Online Purchase. This interactive tool lets you explore typical online buying behavior and see how different marketing interactions affect business success.


The tool draws on Ecommerce and Multi-Channel Funnels data from over 36,000 Google Analytics clients that authorized sharing, including millions of purchases across 11 industries in 7 countries. Purchase paths in this tool are each based on interactions with a single ecommerce advertiser.

You’ll find benchmark data for:
  • how different marketing channels (such as display, search, email, and your own website) help move users towards purchases. For example, some marketing channels play an “assist” role during the earlier stages of the marketing funnel, whereas some play a “last interaction” role just before a sale.
  • how long it takes for customers to make a purchase online (from the first time they interact with your marketing to the moment they actually buy something), and how the length of this journey affects average order values.

Channel Roles in the Customer Journey
The data shows that every industry is different — the path to purchase for hotel rooms in Japan is not necessarily the same as the path as for an online supermarket in Canada.

A few findings stand out, in particular:
  • As you might expect, customers typically click on display ads early in their purchase journeys, but in some industries, such as US travel and auto, display clicks tend to occur closer to the purchase decision.
  • Across industries and countries, paid search has a fairly even assist-to-last interaction ratio, implying that this channel can act both in the earlier and later stages of the customer journey.

Advanced tip:
  • Once you’ve explored the benchmarks, look deeper into your own marketing data with the Multi-Channel Funnel reports, and consider defining your channels and campaigns to separate out categories that are specific to your business needs.

Purchase values and the length of the journey
We also see interesting patterns emerge when examining the length of the customer journey. While the majority of purchases take place within a single day or a single step (i.e., a single interaction with one marketing channel), longer paths tend to correlate with higher average order values. 

For example,
  • in US Tech, online purchases that take more than 28 days are worth about 3.5 times more than purchases that occur immediately. And while 61% of tech purchases take place on that first day, only 53% of revenue comes from single-day purchases.
  • in Consumer Packaged Goods (CPG), on the other hand, most purchases (82%) are quick, likely because these are smaller and simpler purchases that don’t require much research.
  • in Edu / Gov, 41% of revenue comes from multi-day purchases, but 60% of revenue comes from multi-step purchases — suggesting that even when customers make decisions in a relatively short time period, they often have multiple marketing interactions before purchasing.

Advanced tip:
  • In Multi-Channel Funnels or the Attribution Modeling Tool, you can adjust the lookback window to reflect the typical length of the purchase path in your industry. For example, if your business tends to have shorter paths, you can zoom in on paths that take 5 days or less:

Putting the benchmarks to work
For marketers, it’s always a crucial challenge to design campaigns that deliver the right message at the right moment in a customer’s journey to purchase. We hope these benchmarks will provide useful insights about the journey and help you put your business into context. In particular, take a look at the final infographic, the “Benchmarks Dashboard,” to get a quick overview of your industry. Then, when you view your own data in the Multi-Channel Funnels reports in Google Analytics, you’ll gain a better understanding of where different channels impact your conversions and what your typical path looks like, so you can adjust your budgeting and marketing programs accordingly.

Try The Customer Journey to Online Purchase today on Google’s new Think Insights website.

Happy analyzing!

Wednesday, 24 April 2013

The following is a guest post from Jeff Sauer, Vice President at Three Deep Marketing, a Google Analytics Certified Partner. Jeff writes often about Digital Marketing at his Jeffalytics Blog and he writes about Travel on his Free World Traveler blog. 

I have long compared Google Analytics to the slogan for board game Othello: "A Minute to Learn, a Lifetime to Master" because it is so easy to get started, yet there are so many customization options and continuous product improvements that it takes years to master all aspects contained within GA.

The Google Analytics team has done such an amazing job at making the product easy to use that a significant portion of the web measures their website performance with Google Analytics. With that said, I've found that because it is so easy to use, not all marketers are aware of the advanced features contained within GA.

While conducting in-person Google Analytics training the past several years, I have been looking for the best way to show my students just how much they can do with Google Analytics. While a comprehensive classroom session goes a long way, a more elegant way of simplifying the complex is also valuable in the long run.

After much brainstorming with colleagues, we came up with the idea of creating the Periodic Table of Google Analytics, inspired by similar periodic table pieces that have ran in the past by well known marketing focused websites. Since the concept works so well for displaying many elements in one place, it worked perfectly for defining the 60+ elements that were included in the Periodic Table of Google Analytics. We hope you enjoy the results!


We created the table to be consumed in many different ways. On Jeffalytics.com, you will find an interactive version of the table which gives an explanation of each element as you hover over. You can also find a printable PDF version of the document for printing at home. Last, we have created an embeddable graphic that you can share on your site.

Posted by Jeff Sauer, Google Analytics Certified Partner