Behavioral Analytics for Digital Targeting

Web Analytics

Behavioral Analytics
Social Networking Marketing
Engage Marketing
Relevance vs. Privacy
Wireless Marketing
Profiling Marketing
Geolocation Marketing
Behavioral Targeting Networks
Mob Marketing
Behavioral Analytics Strategy
Behavioral Analytics Filters
Web Analytics
Text Mining for Behavioral Analytics
Psychographics Targeting
Biofeedback Marketing Targeting
Web Data Streams
Streaming Analytic Software
Mining Your Own

Website provides a gold mine of consumer data, everything from browsing behavior and patterns, to demographics, transactional histories, sources of online traffic, the effectiveness of search marketing, changes in conversion, keyword drivers, cross selling propensities and average order values. Metrics and adjustments to consumer behaviors are paramount, the key challenge is deciding on what core business drivers each marketer or enterprise needs and wants to capture in order to drive the growth profits for their company or client.

    

As far as strategy goes – total transparency is the only recourse for enterprises and marketers – in other words don’t make claims that cannot be delivered – the Web and social networking can destroy a campaign or company within days if not hours.  This is because the Web is a rapid self-evolving marketing ecosystem in which the consumer drives demand, product design, service features, price structure and total production.  Web analytics can be done in-house by enterprises or outsourced to consultancies such as Omniture.

    

Today, the 24/7 consumer and marketplace drive the success of products or services.  A successful strategy should align its products and services to this fact.  Knowing this ahead of time will ensure a successful behavioral analytical strategy for marketers and enterprises.  Designing and implementing a framework for creating and leveraging streams of consumer behaviors requires advanced planning a tried approach of define, design and build for both marketers and enterprises.  Key building blocks to a behavioral analytic strategy include a business vision, goals or missions, objectives or milestones, as well as tactics, techniques and a plan. A quick definition of these processes is warranted at this time:

  1. Business Vision: More often then not it is increased sales or profits, but it should also be improved customer service and relevancy

  2. Goal or Mission: This can be qualitative in nature, such as “improve the consumer experience.”

  3. Objective or Milestone: This must be quantitative, cross-selling, up-selling ratios metrics to accomplish a goal or mission.

  4. Tactics: These are the executable action items needed to carry out the overall strategy, and are used to achieve objectives.

  5. Techniques: These are the systemic procedures by which tasks are accomplished.

  6. Plan: Lastly, we arrive at the set of tasks that lead to the achievement of all the objectives.

  

Ever since cookies were first baked up by Netscape the monetization of consumer behavior has relentlessly advanced in order to make relevant and targeted offers to returning customers.  However, reliance solely on cookies has its limitations, since it focuses exclusively on online behaviors.   It is equally important for marketers and enterprises to also make attempts at collecting some level of demographic information and/or to aggregate that cookie information with other operational and transactional information, such as those from call sites or CRM systems.  

    

For example, eLoyalty.com has developed and trademarked the term of “Behavioral Analytics” for a call site alert system.  eLoyalty’s Behavioral Analyticsautomatically creates alerts to identify customers who have significant customer service issues. Enterprises are able to automatically identify customers who have multiple unsatisfactory contact center interactions over a short period of time, or who were upset and require a follow up call or email. These new capabilities will enable Behavioral Analytics™ customers to rapidly identify and remedy previously unidentified customer experience issues, as well to better understand first call resolution rates and patterns – these new capabilities will be delivered and supported as a managed service by eLoyalty.

 

 

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