Filed under: Analytics, Cloud Computing, Datarati, Research | Tags: Gartner, Top 10 Strategic Technologies
Guess what made the top 2 in the list?? Cloud Computing and Advanced Analytics.
Both technologies the Datarati’s company is built on 
See what else made the list: http://www.gartner.com/it/page.jsp?id=1210613
Filed under: A/B Testing, Actionable Insights, Analytics, Datarati, Multivariate Testing, Technology, Testing, Web Analytics | Tags: Eyetracking, Sitetuners, Landing page optimisation
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/
Filed under: Analytics, Datarati, Social Media | Tags: Jeremiah Owyang, SAS, Social Media Analytics, Sydney Data Miners
A great post from Jeremiah Owyang on the 8 stages of listening.
Where does your client or company fit into this matrix?
Hear more tonight on Social Analytics at Sydney Data Miners Meetup at Google’s HQ in Sydney: www.meetup.com/datarati
| Stage | Description | Resources Needed | Impacts |
| 1) No objective at all | Organization has a listening program but has no goals, nor uses the information for anything resourceful | Simple alerting tools, like Google Alerts and feedreaders will suffice. | At the basic level, simple self-awareness. Yet without any action from the data, this is useless. |
| 2) Tracking of brand mentions | Like traditional “clip reports” of media relations, companies now track mentions in the social space. Despite tracking there is no guidance on what to do next. | Listening platform with report capability based on brand or product keywords. Radian 6, Visible Technologies, Techrigy/Alterian, Buzzmetrics and Cymfony, Dow Jones are providers. | Improved self-awareness to track volume of information, yet unable to track depth, and tonality of conversations. As a result, not a full understanding of opportunities. |
| 3) Identifying market risks and opportunities | This proactive process involves seeking out discussions online that may result in identifying flare-ups, or possible prospect opportunities. | In addition to a listening platform staff must actively seek out discussions and signal to internal teams. Alerting tools, and listening platforms are required. | Organization can reduce risk of flare ups before they become mainstream, identify prospects and poach unhappy competitors customers. |
| 4) Improving campaign efficiency | Rather than just measure a marketing effort after it’s occurred, using tools to gauge during in-flight behavior yields real-time marketing efficiency. | Dedicated resource to manage reactions, activity, and sentiment to a marketing effort, and the resources to make course corrections nearly real-time. Traditional web analytics tools like Omniture, Webtrends and Google Analytics are common. | Campaigns can be more effective, as hot spots are bolstered, and dead spots are diminished. |
| 5) Measuring customer satisfaction | In addition to customer satisfaction scores,organizations can measure real-time sentiment as customers interact. Sysomos and Backtype have focus areas into this space. | Customer experience professionals will have to extend their scope to the social web, using a listening platform and sentiment analysis. Insight platforms like Communispace and Passenger offer online focus groups solutions. | Brands can now measure impacts of real time satisfaction or frustration during the actual phases of customer interaction. Then identify areas of improvement during customer lifecycle |
| 6) Responding to customer inquiry | This proactive response finds customers where they are (fish where fish are) in order to answer questions. Example: Comcastcares account on Twitter asks customers if they need help –then may respond. | An active customer advocacy team that’s empowered, training, and ready to make real-time responses nearly around the clock. | Customers will fill a greater sense of satisfaction, yet this teaches customers to ‘yell in public’ to get a response. |
| 7) Better understand customers | Evolving the classic market research function, brands can improve their customer profiles and personas by adding social information to them. | Social CRM systems are quickly emerging that tie together a customer record and their online behavior, locations, and preferences. Salesforce, SAP, both have partnerships with Twitter to synch data | The opportunity to not only serve customers in their natural mediums, but to offer them a richer experience regardless of their customer touchpoints. |
| 8. Being proactive and anticipating customers | Minority Report: This most sophisticated form actually anticipates what customers will say or do before they’ve done it. By looking at previous patterns of historical data, companies can put in place the right resources to guide prospects and customers. | An advanced customer database, with a predictive application put in place, as well as a proactive team to reach out to customers before an incident has happened. Haven’t seen any such application yet. | Identifying prospects and engaging them before competitors can yield a larger marketing funnel, or reducing customer frustration as problems are fixed before they happen. |
Filed under: Ad Exchange, Ad Network, Analytics, Datarati, Segmentation, Technology | Tags: DART, Doubleclick, Google
DFA Analytics is the new reporting and visualisation tool for viewing advertising performance data. It shares similar technology with Google Analytics; if you’ve used Google Analytics before, you can quickly come up to speed with the easy-to-use graphical reporting tools that are now part of DFA.
With DFA Analytics, you can:
- Get frequent updates–about every three hours–of your campaign performance data.
- See account performance at a glance, in easy-to-understand charts and graphs.
- Drill down through reports at the advertiser, campaign, site, ad, and creative levels.
You can also review performance by:
- Country, designated market area (DMA), state, city, area code, or zip code.
- Hour, day, week, month, and one or more date ranges.
- Browser, operating system, and connection speed.
Recognising the growing need and challenges businesses face driving operational analytics across enterprises, SAS and Teradata are planning to establish a centralised “think tank” where customers can discuss analytic best practices with domain and subject-matter experts, and quickly test or implement innovative models that uncover unique insights for optimising business operations.
The Business Analytics Innovation Center will combine the strengths of SAS, the leader in business analytics software and services, Teradata Corporation (NYSE: TDC), the world’s largest company solely focused on data warehousing and enterprise analytics, and Elder Research Inc. (ERI), the world’s leading analytical consulting firm for data mining and predictive analytics, to help customers across all industries grow revenue, reduce risk and improve operations.
More: http://www.analyticbridge.com/profiles/blogs/elder-research-partners-with
Filed under: A/B Testing, Actionable Insights, Algorithms, Analytics, Behavioural Targeting, Business Intelligence, CRM, Call Centre Data, Cloud Computing, Data, Datarati, Email Marketing, Lead Generation, Lead Nurturing, Lead Scoring, Loyalty, Marketing Automation, Multivariate Testing, Optimisation, Predicitive Modelling, Segmentation, Software as a Service, Statistics, Surveys, Technology, Testing, Web Analytics | Tags: Behavioural Data, Datarati, Elevator Pitch
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!
As part of an upgrade to Google Analytics, the Internet giant is adding the ability for its customers to track their traffic to both mobile sites and applications, breaking out the devices being used. The idea is to give marketers one place to track digital campaigns, whether they’re on the Web or mobile.
Analytics users will need to add a snippet of code to their mobile sites or applications for Google to collect the stats from all mobile-enabled devices. One hitch: it only collects data from PHP, Perl, JSP and ASPX sites.
It doesn’t include the Python programming language. Google said it plans to expand the tracking capabilities.
Filed under: Analytics, Datarati, Web Analytics | Tags: Customer Data, Google Analytics
Last week Avinash Kaushik lead a discussion to share ways for Using Data to Better Connect with Your Customers.
Avinash explained how to find and use data from Google Trends for Websites, Insights for Search, and Ad Planner.
Avinash offered tips for using this data to focus on your most relevant audiences and maximize your return-on-investment immediately.
Watch Now: http://www.youtube.com/watch?v=WxJFdxlppu8
Filed under: Analytics, Social Media | Tags: Social Media Measurement, Facebook Analytics
This past week we saw a couple new Facebook applications gain millions of users— and they weren’t social games.
Both offer interesting statistical analyses about your Facebook data (as well as alliteration).
One is called Status Statistics and it looks at all of your status updates on Facebook, and figures out a surprising amount about you.
The other app is called Friend Facts, and it looks at all of the profile data about your friends, and figures out things like which TV shows and books are most popular with your friends.
More: http://www.insidefacebook.com/2009/10/08/two-apps-for-analyzing-you-and-your-friends-on-facebook/
Filed under: Analytics, Social Media | Tags: Social Media, Social Media Analytics
A great post from Alexandra Samuel, the CEO of Social Signal, a social media agency.
She helps companies and organizations increase revenue, build brand and strengthen team relationships by creating compelling online communities and social web presences. She holds a Ph.D. from Harvard University. Follow Alex on Twitter at twitter.com/awsamuel
More: http://blogs.harvardbusiness.org/cs/2009/09/scoring_with_social_media_6_ti.html
