Filed under: A/B Testing, Actionable Insights, CRM, Cloud Computing, Data, Datarati, Email Marketing, Lead Generation, Lead Nurturing, Lead Scoring, Loyalty, Marketing Automation, Optimisation, Predicitive Modelling, Retention, SMS, Segmentation, Software as a Service, Statistics, Surveys, Technology, Testing, Web Analytics | Tags: Datarati, Marketo, Marketing Automation Database, Database Marketing, 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
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!
Filed under: A/B Testing, CRM, Data, Datarati, Email Marketing, Forms, Lead Generation, Lead Nurturing, Lead Scoring, Marketing Automation, Optimisation, Segmentation, Technology, Testing, Web Analytics | Tags: Cloud Computing, CRM, CRM database, Customer relationship management database, Marketing Automation, Marketing Automation Database, Marketo, SaaS, Salesforce.com, Software as a Service
An 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.
Filed under: Data, Datarati, Email Marketing | Tags: Email Data, Email Marketing

A great post from Anil Batra’s Web Analytics Consulting blog on what data to consider when targeting customers and prospects with email marketing.
Relevancy is KING!
More: http://webanalysis.blogspot.com/2009/09/7-ways-to-create-relevancy-in-emails.html
Filed under: Email Marketing | Tags: eCommerce, Online Commerce, Online Shopping

A great insight into how to lose an online sale…
1. An email with a promo code
2. When the promo code came up as expired
3. They didn’t save my cart!
Full details: http://www.grokdotcom.com/2009/08/11/3-ways-to-lose-an-online-sale/
Filed under: Datarati, Email Marketing, SMS, Technology | Tags: Digital Marketing, Direct Mail, Direct Marketing, Dynamic Content, Email, Intelligence, Mobile, SMS

The three primary channels of direct digital marketing — email, the Web (e.g. eCommerce and onsite targeting technology), and mobile — are extremely effective for communicating with customers and providing them with relevant content designed to help them make a purchase.
Traditionally, each channel is treated separately within its own silo, with marketing resources and personnel aligned accordingly. In other words, the email team runs the email marketing, the website team runs the website, and the mobile team is responsible for mobile marketing.
Overlap between the channels is rare for marketing organisations (thus the burgeoning cottage industry of attribution modeling). However, frequent channel overlap is a standard practice for consumers, who bounce from an email offer to the Web for some research to mobile for instant alerts and other time sensitive information.
Using the pillars of direct digital marketing — specifically onsite targeting and email marketing — in a complementary way more aligned with how consumers behave promises substantial new segmentation opportunities and plenty of low hanging fruit for marketers.
Creating marketing campaigns around those new segments improves customer engagement, increases conversions, and positively affects other important metrics for e-retailers like RPV (revenue per visitor).
More: http://www.retailcustomerexperience.com/article.php?id=1303&na=1
Filed under: A/B Testing, Analytics, Data, Email Marketing | Tags: Behavioural Data, Email Marketing
As web analytics gains momentum, the question remains, “How do we make it actionable?” An ongoing challenge of the email marketer is translating valuable web data to create more relevant campaigns. Having the ability to take your email marketing/web analytics integration beyond traffic analysis, to gather specific data in real-time on your prospects and customers builds true relationship email marketing.
So where do you start? A highly successful strategy is to use web analytics for gauging the effectiveness of your email marketing initiatives and determining optimisation tactics to improve your overall campaign performance.
Gain Insight Into Customer Behavior
• Audience segment identification: Segment traffic from your e-mail campaigns as well as your website, not just on the initial visit but for every visit. Collecting this data allows you to know the value of each customer as well as their interests. You can then create campaigns specific to those segments
• Conversion Analysis: In depth view of your conversions by campaign as well as identification of abandonment
• Path analysis: Compare your emails path analysis and traffic data to that of your general website audience. Determine whether your email visitors trend more pages visited or revenue generated per order to those of your general traffic
• Behavior tracking and metrics: Measure all behavior associated with an individual or group to determine their reaction to campaigns or behavior once they are on your site.
Behavior to trend can include purchase, registration, or acquisition data
• Closed-loop measurement of your email marketing initiatives: Analyse the effectiveness of your marketing initiatives and their impact on your website traffic
Make Data Actionable
• Consider segmenting your opt-in audience to create campaigns based on their current
visitor history and create dynamic content based on the products viewed or pages visited
• Analyse your form abandonment to determine where you are missing opportunities to
increase your conversion rate. Is there a specific field that is causing the majority of your
abandonment? If so, is this a field that could easily be removed to grab additional low
hanging fruit?
• Are there popular paths that you haven’t incorporated into your email marketing
campaigns? Do many of your visitors travel from one specific path and yet you don’t
include those links in your campaigns?
• Review how your offline and online channels work together.

