Datarati :: Will Scully-Power :: Data, Analytics & Optimization in the World of Advertising!


Eyetracking data without the use of eyes

Eye tracking studies can be a very valuable tool that can help identify significant problems with your website or landing page. Unfortunately, eye tracking requires expensive and specialised hardware and software to be used, and live test subjects to observe and measure.

Not any more. Welcome AttentionWizard.com – using behavioural (click + scroll) data which can be used to simulate where people will look during the first few seconds of interacting with your site and create a detailed attention heatmap of your landing page.

Very cool. Now being able to score that data and trigger off automated communications i.e. email, dm, sms etc as a result would be very very nice.

More: http://sitetuners.wordpress.com/2009/11/06/attentionwizard-eye-tracking-without-the-eyes/



Database Marketing – The New Frontier

Breakfast Briefing

Join Australia’s leading digital marketers for the DATA-DRIVEN MARKETING EVENT OF THE YEAR!

At this FREE Breakfast Briefing, hosted by Brad Howarth, the ex-Technology & Marketing Editor of Business Review Weekly (BRW) Magazine,  you will be briefed by the industry’s leading data-driven marketers on how to use digital behavioural data in both acquisition and retention campaigns to generate more revenue faster for your organisation!

To REGISTER for this event, please contact:

Will Scully-Power
E: will.sp@datarati.com.au
M: 0400 828 866



What do the Datarati do… in 30 seconds?

Elevator Pitch

Wordle

I got asked this morning at an Ad-tech event in Sydney what our company ‘Datarati’ does in 30 seconds or less so here goes the elevator pitch:

Datarati helps smart marketers unlock the value of digital behavioral data, by allowing them to execute more personalised and effective email marketing and web personalisation through the use of a marketing automation database (MAD).

Today’s smart data-driven marketers use a MAD to leverage the wealth of demographic/profile data and implicit/behavioural data that online visitors and customers generate as they react to a company’s digital marketing campaigns and interact with its landing pages, microsites and websites.

By centralising all this data into a MAD, marketers can now access and have full visibility into all multi-channel campaign data including:

- Email Marketing data
- Paid Search data
- Paid Display data
- Landing Page, Microsite, Website data
- Social Media data (twitter, facebook, linkedin)
- Telemarketing data (customer service + support)

Why is this so exciting for marketers?

Well today, marketers are living in Excel Hell! They try to collect and collate multiple data sets in Microsoft Excel which are delivered to them by their multiple rostered agencies and or vendors.

With all of these data silios created how can marketers know which channels are most effective in driving leads, opportunities and ultimate conversions/revenue for their organisations?

With a MAD all of this data is centralised into one database where the marketer can execute digital campaigns from end-to-end including:

- Data Segmentation aka List building (Demographic + Behavioural) data
- Email, Form + Landing page creation & execution
- Data Scoring
- Data Nurturing (Drip based Acquisition, Retention, Loyalty Campaigns Campaigns)
- Data Testing / Optimisation
- Reporting & Analytics
- Integration into their CRM database for closed loop ROI reporting & analysis e.g. Salesforce.com, Netsuite, Microsoft, Oracle, Siebel, SAP,  etc.

Oh and P.S you need no IT involvement or support as the MAD is delivered as Software as a Service (SaaS) over a web browser :) and payable by the number of records you have in your database.

I speak quickly, so there goes my 30 seconds :)

Also, we are holding the “DATA”‘ event of the year for all Digital Marketers and their Digital Agencies in Sydney in a few weeks time.

Email me if you’re interested in attending!

More: http://www.datarati.com.au



New Google Website Optimiser Features
October 28, 2009, 2:50 am
Filed under: A/B Testing, Datarati, Multivariate Testing, Testing, Web Analytics | Tags:

overtime-charts

The Website Optimiser team have also been busy introducing an Experiment API and a new reporting feature called over time charts.

Website Optimiser allows you to test page variations on your site to find out which content and design drives the most sales and leads for you.

More: http://conversionroom.blogspot.com/2009/10/new-website-optimiser-features-just.html



Discover 10 ways to improve your site performance and online profitability
October 12, 2009, 4:31 am
Filed under: A/B Testing, Data, Datarati, Testing, Web Analytics | Tags: , ,

makeyourwebsitework

Learn how to increase the number of website visitors you convert into buyers by reading our new e-book “Make your website work”.

The e-book examines common website design issues from the point of view of a customer.

Discover 10 ways to improve your site performance and online profitability today by clicking on the image below.



Marketing Automation vs. CRM :: What is the difference between Marketing Automation and CRM?

educationAn open letter to all Australian & New Zealand marketers:

After many years selling both Marketing Automation databases and CRM databases, services and solutions in the Australian / New Zealand marketplace, I have decided to clearly explain the difference between a Marketing Automation database and a Customer Relationship Managment or CRM database.

It seems that there is still some confusion in the local market as to how these two databases differ, how they work together and the value of integrating these two databases together.

The objective of this post is to simplify the jargon, clearly explain the key differences and empower you as a marketer to make smart data-driven decisions.

What is a Customer Relationship Management (CRM) Database:

Simply, this is a database designed to allow an organisation to do three core things:

1.) Sales teams to input, manage and track their leads that are generated by their marketing team
2.) Customer service teams to input, manage and track customer service and support quieries
3.) Marketing teams to segment customer/sales data e.g. which customers bought an iPhone in the last 6 months.

Examples of CRM databases which are stored (on-premise) i.e. database physically stored inside an organisation on their own servers are:  Siebel, Oracle, Microsoft etc.

Example of a CRM database which is stored (off-premise) i.e. database physically stored outside an organisation on the vendors servers is: Salesforce http://www.salesforce.com

In today’s enviorment, most organisations across Australia & New Zealand and globally have or are in the process of moving to (off-premise) CRM databases like Salesforce.com for the costs savings and ease of use.

To access the database all a user needs is a username, password and a web-browser, as the data from the database is delivered within a users web-browser.

These types of CRM databases are referred to as any of the following: Software as a Service, SaaS, On-Demand, Cloud-based and Cloud Computing.

Ok, so as a marketer if you have a CRM database in your organisation, FANTASTIC!

It’s a start, but it only allows you to segment customer/sales data.

Today’s marketers are using multi-channels for both inbound and outbound marketing.

These channels include:

- Email (Inbound, Outbound)
- SMS (Inbound, Outbound)
- Paid Search (Inbound e.g. Google Adwords)
- Paid Display (Inbound e.g. Banner Ads)
- Landing Pages (Inbound e.g. Email, Google Adwords, Banner Ads)
- Telemarketing (Inbound, Outbound)
- Social Media (Inbound, Outbound e.g. Twitter, Facebook, Widgits)

So does your CRM database allow you to set-up, build, manage, track and optimise all of the data that is generated from the above channels?

The answer is NO! Regardless of which CRM database you are using, it does not allow you to do this, nor were they designed to.

Now, the problem that you as a marketer face is simple. When you look to execute any inbound or outbound campaigns, your data is siloed, often stored in multiple databases in multiple locations, often managed by multiple rostered agencies and/or vendors – leaving you as a marketer with little to no visibility of four of the most important things within marketing:

1.) A 360 degree view of how marketing have touched the customer or prospect i.e. which campaigns were they sent
2.) The behaviour of the customer or prospect i.e. how did they or didn’t they respond to those campaigns (conversions)
3.) What variables performed better within those campaigns i.e. creative, call to action etc
4.) Where the customer or prospect is within the customer lifecycle or buying lifecycle

Q. So how does a marketer solve this problem?

A. A Marketing Automation Database

The objective of  implementing a marketing automation database is to get all the information marketing needs to acquire leads in one place. Marketers implement a marketing automation database to see all of marketing’s interactions with each prospect and customer. They also use it to keep data clean by automating the de-duplication of  records within the database.

A marketing automation database is a SEPERATE database, designed to allow an organisation to do 7 core things:

1.) Lead Generation
- Objective: Make sales happy with more qualified leads.
- How: Convert website traffic into leads, automate lead development, identify when prospects are ’sales ready’, automate sales tasks and track follow up.

2.) Lead Nurturing
- Objective: Drive revenue by nurturing raw inquiries into ’sales ready’ leads.
- How: Nurture relationships with qualified prospects, educate leads before passing them to sales, trigger relevant responses to prospect behaviours and automate repetitive marketing tasks.

3.) Lead Scoring
- Objective: Improve sales effectiveness by passing only qualified leads to sales.
- How: Automate lead qualification processes, measure prospect interest and engagement, score leads using demographic data and behavioural data and focus sales resources on the best opportunities.

4.) Website Tracking
- Objective: Know exactly who is visiting your website and where they go.
- How: Track all prospect interactions online, identify which companies are visiting your website, monitor known and anonymous visitors and automatically alert sales reps of new prospect activity on the website

5.) Email Marketing
- Objective: Don’t just email prospects, engage them in a dialogue.
- How: Deepen realationships with triggered, multi-step campaigns, get to the inbox using the latest deliverability technology, raise and open click rates by targeting segments and track and score who opens and clicks on each email.

6.) Landing Page Optimisation
- Objective: Create, publish and test targeted landing pages.
- How: Launch new landing pages in minutes, use your own branding and subdomain, maximise conversion rates through A/B testing and capture leads with smart forms that recognise know customers and prospects.

7.) Marketing Asset Management
- Objective: Store, distribute and track content and other marketing assets.
- How: Upload and manage documents and image files, publish customised URLs for each asset, track which piece gets viewed by prospects and notify sales reps whenever key marketing assets are viewed by a customer or prospect.

Now, to get the true value out of all of the above – organisations should integrate their CRM database (which holds sales data) with their Marketing Automation database (which holds marketing data).

Why? Three simple reasons.

1.) Instead of manually exporting ’sales ready’ leads from a marketing automation database in excel and then having your sales team manually upload the list into their CRM database, this integration automates the transfer of the marketing data from the marketing automation database into the CRM database.

2.) Sales teams are now empowered as they now have all the marketing history of how a prospect or customer has been communicated to by marketing, how they have or havn’t responded and most importantly the prospect or customers behaviour. So what that means is that the sales or telemarketing team have all of this rich actionable insight about what they prospect or customer is interested in before they make an outbound call.

3.) Closed Loop Return on Investment (ROI) reporting – by integrating your marketing automation database (marketing data) with your CRM database (sales data), you can now attribute which campaign(s) drove not only conversions but repeat purchases.

An example of a Marketing Automation database which is stored (off-premise) i.e. database physically stored outside an organisation on the vendors own servers is:  Marketo http://pages2.marketo.com/demoFull.html

In today’s enviorment, most organisations across Australia & New Zealand and globally have or are in the process of moving from basic email engines like Traction, Exact Target, Strategy Mix, eServices, Returnity, Chimp Mail, Vertical Response, Vision 6, Campaign Monitor, Campaign Master, Constant Contact etc. to (off-premise) Marketing Automation databases like Marketo for the costs savings, ease of use, rich functionality and a far superior time to value.

To access the database all a user needs is a username, password and a web-browser, as the data from the database is delivered within a users web-browser.

These types of Marketing Automation databases are referred to as any of the following: Software as a Service, SaaS, On-Demand, Cloud-based and Cloud Computing.

Hope this post helps to explain to all marketers across Australia & New Zealand the difference between a Marketing Automation database and a CRM database, and the power of integrating the two for full closed loop ROI analysis.

PLUG: At Datarati, we help marketing and sales teams and their digital agencies with Marketing Automation database and CRM database Strategies and Best Practices. We assist and support them in their demand generation activties, lead and contact management, campaign optimisation and actionable data analysis in the pursuit of revenue and customer loyalty.

Through this, we shorten revenue cycles, demonstrate marketing ROI and ignite revenue growth across our customer’s organisations.

www.datarati.com.au



The Data Driven Marketer

The latest episode of Data Driven Discussions focuses on two of Avinash’s favorite tools in addition to Google Analytics and Google Website Optimizer: Insights for Search and Ad Planner.

Data-Driven MarketerMore: http://analytics.blogspot.com/2009/07/new-ddd-episode-tools-for-marketers.html




Dotomi Rolls Out Multivariate Testing for Display Ads
July 30, 2009, 7:53 am
Filed under: A/B Testing, Behavioural Targeting, Testing | Tags: , ,

Banner Ad

Web ads are getting smarter and smarter. Dotomi, a Chicago interactive agency, announced a new multivariate testing methodology yesterday for banner ads. It follows Web users around to determine which ads ultimately work best — not to make users click, but to persuade them to buy.

Dotomi COO Ken Treske says clients saw anywhere from 5 to 15 percent improvement in customer conversions, on average, by incorporating the methodology into their campaigns, and some saw bumps as high as 47 percent.

More: http://www.clickz.com/3634546



Disney uses eyetracking to monitor consumer ad engagement
July 27, 2009, 10:50 pm
Filed under: A/B Testing, Datarati, Multivariate Testing | Tags:

Disney Eyetracking 1Disney Eyetracking 2

A technician in a black lab coat gazed at the short, middle-aged man seated inside the Walt Disney Company’s secretive new research facility here last week, his face shrouded with eye-tracking goggles. Read ESPN.com on that BlackBerry, she told him soothingly, like a nurse about to draw blood. “And have fun,” she added, leaving the room.

In reality, the man’s appetite for sports news was not of interest. (The site was a fake version anyway.) Rather, the technician and her fellow researchers were eager to know how the man responded to ads of varying size. How small could the banners become and still draw his attention?

A squadron of Disney executives scrutinized the data as it flowed in real time onto television monitors in an adjacent room. “He’s not even looking at the banner now,” said Duane Varan, the lab’s executive director. The man clicked to another page. “There we go, that one’s drawing his attention.”

Full Story: http://www.nytimes.com/2009/07/27/technology/27disney.html?_r=2&ref=business



Bringing Wall Street-like analysis to Madison Avenue

Wall Street

Darren Herman, left, and Barry Lowenthal are among those bringing Wall Street-like analysis to Madison Avenue. Wall Street-style data analysis is gaining importance in the advertising industry, a business that was once all about a catchy tagline or an arresting image.

ON a recent Thursday, Darren Herman, the president of Varick Media Management, was sequestered in his SoHo office. He wasn’t scrutinizing a television ad or images from a photo shoot. He was combing through graphs and Excel spreadsheets.

Mr. Herman had run 27 ads on the Web for his client Vespa, the scooter company. Some were rectangular, some square. And the text varied: One tagline said, “Smart looks. Smarter purchase,” and displayed a $0 down, 0 percent interest offer. Another read, “Pure fun. And function,” and promoted a free T-shirt.

Vespa’s goal was to find out whether a financial offer would attract customers, and Mr. Herman’s data concluded that it did. The $0 down offer attracted 71 percent more responses from one group of Web surfers than the average of all the Vespa ads, while the T-shirt offer drew 29 percent fewer.

And Mr. Herman didn’t just compare the messages in the ads — he also looked at the sites where they ran, when they ran and what groups of people responded.

More: http://www.nytimes.com/2009/05/31/business/media/31ad.html?_r=1&ref=technology