Archive for the 'Google Analytics' Category

Dec 08 2011

Marketing ROI – The Most Important Measure of Marketing Success

Published by Samuel under Google Analytics

IBM has conducted face-to-face interviews with 1,734 Chief Marketing Officers (CMOs) across 19 industries and 64 countries to understand the forces changing business and markets today – and how the marketing profession is changing in light of these.

The four biggest challenges that their market research study highlights are:
  • The explosion of data
  • Social media
  • The proliferation of channels and devices
  • Shifting consumer demographics

The study points out that CMOs are generally feeling anxious about the level of complexity that is on the horizon.

But it also gives readers hope in drawing the conclusion that there is consensus as far as key areas of improvement are concerned, which can be summarised as:

  • Understanding and delivering value to empowered customers
  • Creating lasting relationships with those customers
  • Measuring marketing’s contribution to the business in relevant, quantifiable terms.

I want to pick up on two themes here. ROI and Data.

CMOs Have to Show a Real Return on their Marketing Expenditure

Here’s a quote from the IBM study by Rob Colwell, Executive Manager – Commercial and Marketing, Qantas Frequent Flyer:

“The success of my role is far more about analytics and technology than it is about hanging out with my ad agency, coming up with great creative campaigns. We must increase campaign ROI.”

We are glad to hear industry leaders talk about marketing ROI.

We’ve been talking about it for a long time. Check out this post from June 2004 discussing our Media Tracker ROI tracking technology (now replaced by Google Analytics) and prior to that in November 2003 where First Rate’s founder Jon Ostler (now Group CEO of Q Ltd, First Rate’s parent) spoke on marketing ROI and the case study work we did for NZ Retirement Commision’s sorted.org.nz.

IBM makes the following observations as far as marketing ROI is concerned:

At one stage, it was enough to point to advertising recall, brand perception or website traffic. But CMOs are under increasing pressure to provide quantifiable evidence of how their marketing expenditure is helping the organisation achieve its goals.

If they are to use their budgets as wisely as possible, CMOs also need to know which initiatives deliver the best returns. In other words, they need to know what to stop investing in, as well as what to ramp up.

But here is the quote that really stood out for us:

CMOs are well aware they will have to be much more financially accountable in the future. In fact, 63 percent of respondents believe marketing ROI will become the most important measure of success over the next three to five years.

I have included a graph from IBM’s study, below, which puts the 63% in context.

Here are the seven most important measures to gauge marketing success:

marketing return on investment - IBM CMO survey
Source: ibm.com/cmostudy2011

Outperforming Organisations Use Data Extensively

Clearly marketing ROI and the underlying data is (finally) becoming more and more important for organisations. What is equally important is that the correct analysis skills and interpretation is applied to extract valuable information – in turn influencing marketing decision making and company strategy.

IBM states that we now create as much information every two days as we did from the dawn of civilisation to 2003, quoting Eric Schmidt. That’s staggering!

The key is to ask yourself what you are doing with all that data that is being generated by YOUR organisation…?

Think about the various data repositories that exist. How well do you think you are currently extracting compelling insights that demand organisational change, to bring about an increase in sustainable competitive advantage?

Are you mining the new digital data sources to discover how your customers found your website, why they transact (or why not), how to best optimise along the entire purchase chain – from keywords to ad copy to landing pages to purchase funnels and beyond – and understanding what your customers really want from you?

Are you gaining true customer insights from your Google analytics configuration or are you simply comparing traffic levels year on year? – Similarly, are you tracking and taking action on what consumers are saying about your brand on review websites?

Outperforming organisations use data much more extensively than underperforming organisations throughout the entire customer lifecycle. The differences are particularly marked in the phases devoted to stimulating awareness and desire and building advocacy after the sale.

According to IBM’s study more than 70 percent of CMOs state that they aren’t fully prepared to deal with the data explosion that is currently happening, and this will only accelerate.

If you haven’t yet read the study, make sure you do. It’s quite an interesting read; you can download it from here.

Please contact us for a discussion around extracting insights and value from your web analytics or driving increased marketing ROI from optimised digital marketing campaigns and an ongoing CRO programme.

Related Posts:

No responses yet

Nov 24 2011

Insurance – Google Analytics Case Study

First Rate Enables Pinnacle Life to Make Better Business Decisions using Google Analytics


Pinnacle Life became the world’s first life insurance company selling fully underwritten policies online in 2007 and since then has gone from strength to strength.

For a business utilising both online and offline marketing channels, detailed analytics intelligence is vital. It is important that all marketing activities are accurately measured through to conversion, such as new customer applications. This allows an accurate assessment of marketing spend leading to maximum ROI from all marketing activities, with budget allocated to the most effective channels for continuous campaign improvement.

Pinnacle Life choose to use Google Analytics combined with First Rate’s analytics expertise to deliver this value.

Click here to download the Google Analytics case study.

Related Posts:

No responses yet

Oct 21 2011

Why Online Marketing is like Herding a Flock of Sheep

Published by Craig under Google Analytics

multi channel funnels insights

For a long time posts and threads across the web sprung up discussing concepts like “first-click attribution” and “last-click attribution” for conversions. While the common and default method among many web analytics packages attributed the last-click to a conversion, multiple methods to attribute the first-click to a conversion were shared and deployed across the online marketing community.

But until recently, the question was “what about the possible clicks between first and last click and those sources?” With the new Google Analytics (GA) interface, a feature referred to as multi-channel funnels (as mentioned back in April 2011) can show a fuller story of the click path before a conversion is made.

What are multi-channel funnels (MCF)?

With multi-channel funnels, advertisers are now able to see ALL clicks (from first to last) attributed to conversions. This means that credit for a conversion not only is given to the first or the last click but to all clicks across channels which ‘assisted’ the conversion. This helps us understand the online interactions across different channels ultimately leading to a conversion, which is very useful for us marketers!

For example, consider the following click path across a range of different channels:

multi channel funnel path

Previously with last-click conversion attribution only the paid ad would have received credit for the conversion. And with first-click conversion attribution, only the referring website channel would have been credited for the conversion. But both of these conversion attribution methods do not tell the whole story. (Note: Currently, GA reports seven different types of channels which a click can be represented by).

3 insights you can get from MCF

Touch points and conversion points

Touch points can be referred to as first-click, and conversion points can be referred to as the last click.

With GA MCF you can see how important touch points are in playing a role as the first point of entry (contact) with your user. Consider the three different scenarios below:

  1. Touch point: paid advertising, conversion point organic search.

  2. Touch point: paid advertising, conversion point website referral.

  3. Touch point: paid advertising, conversion point organic search.

In each of the three scenarios, the touch point was made via the paid search channel; however the conversion point was attributed to another channel either organic search or a website referral.

Previously if an advertiser was to decide where to allocate their advertising budget based on last-click conversion attribution, they wouldn’t see that paid search advertising plays an important role in generating new visits which can ultimately lead to a desired action.

Assisted clicks

Much like touch points, if the effectiveness of marketing efforts across channels were only measured by the conversion point (last-click conversion attribution) and did not account for the clicks made from other channels in-between the touch and conversion point (“assisted” clicks) the clicks would not receive credit for helping to assist with a conversion.

In the example below, the touch point was made by organic search and the conversion point is represented by a website referral. The assisted clicks however, were all made by paid search advertising which, essentially contributed to the conversion!

Assisting keyword searches

Taking it a step further, let’s say you wanted to see how keywords played a part in conversions across source/mediums such as Google paid search and Google organic.

For example, let’s say you wanted to know how brand and non-brand keywords contribute to a conversion path. Here is how: Open up the “Top Conversion Paths” report and click to view the “Source Medium Path”. Then add a secondary dimension under traffic sources labelled as “Keyword Path”.

The report should then show the following two types of dimensions:

Dimension: Source Medium Path

Secondary Dimension: Keyword Path

Using the example above, five clicks across two different mediums combined with both generic and brand related keywords were made. Traditionally with last-click conversion attribution models, a filter like this would attribute the conversion by a Google organic search made by a brand related search. The problem with this attribution model is not only are the initial Google paid search clicks not credited for being the touch point but also, that the conversion path was initially started with a generic search.

Traditionally, with the absence of MCF, it would be easy for one to conclude that it is organic brand search that brings in conversions. However the truth is, without the Google paid non-brand click the conversions may never have happened.

For a deeper analysis of your web analytics and sound advice for how your website’s conversions really take place contact First Rate about a tailored solution that meets the demands of your marketing efforts.

Related Posts:

3 responses so far

Sep 30 2011

Google Analytics Premium

Published by NZ Editor under Google Analytics

Google Analytics Premium has arrived - Analytics for Enterprise!

Google Analytics Premium has just been announced by Google.

Here’s the launch video:

We have listed the main benefits below:

Extra Processing Power

Extra processing power means more data, more quickly. With Google Analytics Premium, you can gather, analyze and share more data than ever:

  • Lifted data limits. Track more then ever—billions of hits per month and 50 custom variables give you deep insights to make more informed decisions.
  • Download unsampled reports. Export high data volumes and analyze all of your data.

Advanced Analysis Tools

Advanced analysis tools deliver deeper insights: Analysis options unique to Google Analytics Premium provide a deeper understanding of consumer behavior:

  • Attribution modeling. Easily perform attribution modelling on your marketing campaigns to understand the full value of all the channels in your media mix.
  • More custom variables. Access up to 50 custom variables which you can customize to collect unique site usage data.

Uptime Guarantees

Service Level Agreements give you an uptime guarantee from Google. Your site activity is reliably recorded and available to you at all times. Google will compensate you if they don’t deliver.

  • Data collection. Get a Service Level Agreement of 99.9% in any calendar month.
  • Processing. Data freshness within a maximum of 4 hours 98% of the time. React faster than ever.
  • Reporting. Enjoy guarantees of 99% in any calendar month.
  • Data ownership. You own all of your data. Your contract ensures it.

Pricing and Availability

The product is offered on a flat-rate annual fee and is currently available in North America, United Kingdom and Canada. The product is not yet available in New Zealand or Australia.

Related Posts:

No responses yet

Sep 28 2011

Google Analytics Partner Summit 2011

Google Analytics Summit 2011

I’ve recently returned from Palo Alto from the Google Analytics Partner Summit. This year the summit was held at the Computer History Museum in Mountain View.

Whilst I can’t share any specific information as far as GA is concerned, what I can share is that upcoming changes are going to be big. :)

One thing that really impressed me is just how much was being shared with the GACP partners. Furthermore, any concerns or questions raised were addressed and answered on the spot. I’ve come away feeling genuinely excited to be working in the analytics industry on a platform as impressive as Google Analytics.

Another really nice thing was that we also got an update on Google+ and Android. It’s amazing how Google is pulling all this together and it has been a real pleasure hearing directly from the engineers and product managers.

And of course Avinash Kaushik did not disappoint and had the crowd laughing uncontrollably on several occasions.

Given that there isn’t really all that much to see and do in Palo Alto, I spent a couple of days in San Francisco which was excellent. One of the locals whom I met at the Summit showed me around town which was really nice. I even managed to take a pic of the bridge without any fog:

GACP 2011 - San Francisco

Here’s the list of speakers from the 2011 GACP Summit, responsible for draining my laptop battery to near-death levels on both days from all my note-taking:

  • Amy Chang – Global Head of Product, Ads Measurement
  • Dr Phil Mui – Group Product Manager, Google Analytics
  • Paul Muret – Director of Engineering, Analysis Products
  • Sissie Hsiao – Group Product Manager, Cross-Channel Measurement & Attribution
  • Brett Crosby – Director of Product Marketing, Google+
  • Enrique Munoz Torres – Senior Product Manager, Google Analytics
  • Hasan Bakhshi – Director, Creative Industries, NESTA
  • Juan Mateos-Garcia – Creative Industries Research Fellow, NESTA
  • Marc Vanlerberghe – Director of Product Marketing, Mobile & Android
  • Archana Ravichandran – Global Services Manager, Google Analytics
  • Bill Kee – Product Manager, Google Analytics
  • Chao Cai – Engineering Lead, Conversion Tracking & Cross-Channel Attribution
  • Jesse Savage – Product Manager & Privacy Officer, Google Analytics
  • Kerri Jacobs – Team Lead, Google Analytics Sales
  • Lucas Pettinati – Lead User Experience Designer, Google Analytics
  • Matt Ackley – Director of Product Marketing, Media and Platforms
  • Michael Fink – Product Manager, Google Analytics
  • Michal Neufeld – Product Manager, Google Analytics
  • Nick Mihailovski – Senior Developer Programs Engineer, Google Analytics
  • Sagnik Nandy – Engineering Lead, Google Analytics Backend and Infrastructure
  • Shauna Gerry – Team Lead, Google Analytics Account Management
  • Sophie Chesters – Product Marketing Manager, Google Analytics
  • Trevor Claiborne – Product Marketing Manager, Google Analytics
  • Jesse Nichols – Partner Program Manager, Google Analytics
  • Timo Josten – Partner Program Manager, Google Analytics
  • Avinash Kaushik – Digital Marketing Evangelist, Google
  • Justin Cutroni – Director of Digital Intelligence, Cardinal Path
  • Russell Sutton – Managing Director, ConversionWorks
  • Timo Aden – Managing Director, Trakken
  • Juan Manuel Damia – Co-Founder, Intellignos

I’ve learnt a lot and passed on my learnings to the team.

We are keen to help your business maximise your return from Google Analytics. Please contact us for a no-obligation chat.

Related Posts:

No responses yet

Next »

 



First Rate on LinkedIn