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.