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


Datarati raises $400 for the Inspire foundation, helping 40 young australians!

This morning we launched the ‘Marketing Cloud’ – (#mktgcloud) (#datarati) Database Marketing in the New Frontier at Sydney’s Hilton Hotel.

When we started the company 6 months ago, we wanted to find an organisation that we could support and one that we could give back to. We wanted to find an organisation that we had history with and one that was in line with our own company values.

Above all, we wanted to ‘Inspire’ our fellow digital and data-driven marketers!

Inspire them to challenge the status quo of the past and educate them on the new frontier of database marketing, the ‘Smarter’ way of using digital behavioural data to acquire new customers and retain existing customers.

As a result, we thought there was no better organisation to support than that of the Inspire Foundation www.inspire.org.au and their website www.reachout.com

This morning we raised $400 for them at our breakfast briefing. For every $50 raised, 5 Young Australians are provided access to Inspire’s programs  to help find the support they need.

The event this morning was sponsored by the world’s fastest growing marketing automation database provider (Marketo).

For those who were unable to attend this morning, the event video was captured by our friends at Viocorp and will be made available shortly.

Stay tuned this week for more!



3rd generation analytics in action
November 17, 2009, 3:00 am
Filed under: Datarati, Web Analytics | Tags: , ,

The following is from a whitepaper jointly published by SAS and Web Analytics Demystified.

A very good read which should be read by every member of the Datarati.

True digital analytical competitors have already cobbled together their own third‐generation solutions using a variety of existing technology. Various kinds of work being done today using the third‐generation approach include:

 

• The use of modeling capabilities to predict the traffic and revenue impact associated with changing an investment in branded and non‐branded search engine keywords in Pay‐Per‐Click marketing efforts, rather than making changes and observing the financial impact in real‐time.

 

• The use of statistical models to determine the level of confidence obtained during complex behavioral segmentation efforts, rather than assuming that every segmented population is statistically relevant and appropriate for analysis and decision making.

 

• The use of forecasting algorithms fed historical data from digital and nondigital channels to estimate sales based on changing customer behavior, rather than assuming some level of linear or cyclical growth that does not account for a changing environment.

 

• The mining of huge paid search marketing datasets that combine online and moffline data to mine for keyword buying opportunities in the “long‐tail” based on multivariate cluster analysis and predicted lifetime customer value, rather than spending time evaluating hundreds of thousands of keywords manually.

 

• The use of modeling capabilities and marketing mix analysis to understand the relationship between different marketing channels, both online and off, rather than assuming independence and potentially making costly mistakes in marketing resource allocation.

 

• The use of decision optimization to determine which products or content to present in combination or sequence online to maximize levels of visitor engagement and sales, rather than making assumptions or decisions based solely on inventory or management opinion.

 

• The use of statistical models to better understand the real impact of design changes, different pages and new technologies on the consumer experience online, rather than assuming that “new is better.”

 

• The use of decision optimization and data from online and offline channels to understand how explicit consumer behaviors online such as search and navigation can be leveraged to improve layout in catalogs and physical retail outlets, rather than ignoring the treasure‐trove of online data detailing evolving consumer interests.

 

Download full whitepaper: http://www.webanalyticsdemystified.com/sample/Web_Analytics_Demystified_SAS_Revolution.pdf



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



Dreamforce 2009 :: Video Competition
September 28, 2009, 1:12 am
Filed under: CRM, Datarati, Social Media, Uncategorized | Tags: , , ,

Datarati Dreamforce

Here is our official Dreamforce 2009 video competition entry: http://cli.gs/Es952r



Datarati :: Changing the marketing and advertising world forever
September 23, 2009, 6:04 am
Filed under: Datarati | Tags: ,

DATARATI_logo_final

Our company (Datarati) is about to change the world and want YOU to be a part of it!

Learn how!

More: http://cli.gs/TJWadn



The D Generation
August 6, 2009, 10:37 pm
Filed under: Datarati | Tags: ,

Welcome to the new era!

The 'D' GenerationView Presentation: http://www.slideshare.net/Datarati/the-d-generation



Welcome to the Datarati

DATARATI_logo_final

“A new era is dawning for what you might call the Datarati— and it’s all about harnessing supply and demand. What’s ubiquitous and cheap? Data. And what is scarce? The analytic ability to utilise that data.”

– Hal Varian – Chief Economist – Google (Wired Magazine, May 2009)

I’ve recently left M&C Saatchi/Mark to launch Datarati Pty Ltd.

Today marks the official launch of Datarati, (www.datarati.com.au), a marketing analytics and optimisation company.

We provide digital advertising agencies, media agencies and their clients with actionable data driven insights which improve campaign performance and ROI.

Datarati provides a host of Software as a Service (SaaS) solutions which change the way marketing and sales and their digital agencies collaborate at every stage of a revenue cycle, through the execution of data driven trigger-based acquisition and retention campaigns.

We help marketing and sales teams and their digital agencies with demand generation and lead and contact scoring, nurturing and management in the pursuit of revenue and customer loyalty.

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

We provide 4 key support services:

-        Multi-Channel Campaign Reporting & Analytics

-        Multi-Channel Campaign Optimisation

-        Marketing Automation & CRM strategy and implementation

-        Data Management, Data Hosting, Data Mining, Data Modelling

Welcome to the new era. Welcome to the Datarati.

Will Scully-Power
Managing Director
Datarati

Postal Address:
PO Box R1314
R1314, Royal Exchange
NSW 1225

P: +61 400 828 866
E: will.sp@datarati.com.au
W: www.datarati.com.au



Visualise your search data with Spezify
May 20, 2009, 6:56 pm
Filed under: Datarati, Search, Visualisation | Tags: , ,

spezify

I came across this very cool search engine today, that visualises multiple data sources following a keyword query search.

The new visual search engine Spezify collects search results in different media formats (e.g. definitions, images, Twitter messages, Flickr photos, quotes, wikipedia articles etc.

Check it: http://beta.spezify.com/#/datarati



How i know your age
April 27, 2009, 11:29 pm
Filed under: Statistics | Tags: , ,

happybirthday2

1.) First of all, pick the number of times a week that you eat out. (more than once but less than 10).

2.) Multiply this number by 2 (just to be bold).

3.) Add 5.

4.) Multiply it by 50.

5.) If you have already had your birthday this year add 1759.

If you havn’t add 1758.

6.) Now subtract the 4 digit year you were born.

You should have a 3 digit number.

The first digit of this was your original number.  (i.e. the number of times you eat out per week).

The next two numbers are…. YOUR AGE!