Building Profiles for Anonymous Website Visitors

One of the biggest challenges faced by marketers is to convert anonymous visitors into customers. Converting these visitors would require that these frequent anonymous visitors are identified by a unique key along with their behavioral pattern to be able to personalize content or gather more information about this visitor. Based on this information or insight, the marketers need to adapt strategies on their website to secure contact information.

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Content Measurement with Plumb5

Content Measurment with Plumb5

Targeted Messages lead to increased conversions. Test and measure all content elements, media elements, forms, downloads and social badges. Set up multivariate tests with rules to arrive at the right message. Automate effective results all on a single dashboard. If you want to test it out, write to

Sweet Dreams (are made of this)

For a business, sweet dreams are all about growth and profits. To keep up with their sweet dreams, businesses have to take care of their risks. Business risks can be many, from not being able to generate new business to losing customers to incompetent people to myopic leaders to process lacuna to fund-vacuum.

From our experience, we believe that is one of the core factors that makes or breaks a business, ‘Customer Acquisition and Retention’, as all business performance indicators are directly dependent on this factor. Profitable businesses are built with increase in revenue per customer, year-on-year.
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Achieving maximum lead conversion using the plumb analytics script

To provide a relevant and useful experience throughout the entire buying cycle, by understanding what content led your leads to convert, so you can customize your messages based on their behaviour, resulting in conversions and sales and a more relevant experience for your visitors.

Here is a presentation that best explains how you can use the script to collect lead intelligence on your website:

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Presenting Recommendation Delivery through simple web analytics data

The recommender industry is the business of pulling three components together into a system that helps a user-driven business convince their potential customers that they should stay for a while. The three elements include:

  1. An effective model that relates the needs visitors have to what the business offers
  2. Quality data to build a model instance that relates specific needs to specific offerings
  3. Unobtrusive means for easily and quickly determining an individual user’s need

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Knowing Competitor’s Web Marketing Trends

To analyze a particular marketing trend from the free web there was a requirement of a topical crawler application. A crawler application that would scour  more than 20,000 sites to collect all advertisements available on these sites. The built in patterns would ensure that all advertisements data was captured and negated the options of missing advertisements that were delivered by way of ad network, ad deliveries or other dynamic ad delivery methods. The patterns would help to arrive at campaign time span, unique campaigns and publisher information.

The client would derive the basic estimation of the advertisement impressions by importing data that would cover publishers campaign information, packages, rate card information and overall website impressions . To make the estimates more accurate, we plan to integrate data from various Ad networking tracking data.

The solution would combine the data from both these sources mentioned above and apply advanced statistical techniques and prediction algorithms to make highly accurate estimates about an advertisement’s profile which helps marketers in understanding campaign effectiveness, spends and competitor’s advertising trends.