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Transcript
Features Conversion Attribution 1.0
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Recognition channels based on referrer and landing page data (e.g. used tagging)
Infinite different source channels, up to 10 layers of subcategories
8 different attribution algorithms, with endless variations:
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First click (attribution to first click within cookie time)
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Last click (attribution to last click before conversion)
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Conversions involved (conversion is attributed to all sources involved)
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Proportional assisted conversions (assisting value)
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First/last interaction X,Y (X % is attributed to first click, Y % to last click, rest is par
titioned between all other referring channels)
Last X interactions (conversion value is divided between last X referrers based
on custom algorithm)
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Proportional distribution (conversion value is divided evenly between all referrers within the cookie time)
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Weighted proportional distribution (page views caused per referrer also
affect attributed value)
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Manually weighted proportional distribution (manually selected web pages cause more attributed value)
Recalculation of channels and algorithms based on all historical data
Tracking based on normal cookies and fingerprinting technology
(multi browser and multi device tracking)
Dynamic setting of cookie time
Multiple conversion goals
Conversion reports based on a maximum of 10 different values per conversion
(turnover, category ID, price ranges, etc.)
Calculation of journey time and average position in the referring path
Reporting of interaction combinations between different marketing channels
Extensive referrer – destination reports (including actual url’s and used search
keywords or tagging values)
Detailed reporting of all, or categorized conversion paths
Extensive graphical reporting -and exporting tools
Real time dashboard for reporting and self management
Features Conversion Attribution 2.0
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Measurement of real post-view value, including cross media effects
Analysis of daily effects
Post-view value calculation using up to 10 different variations in post-view cookie time
A/B testing per banner set, size, publisher, etc.
Calculation of individual cross media effects on all other marketing channels
Extensive graphical reporting- and exporting tools
Real time dashboard for reporting and self management
Features Retargeting
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Personalized banners based on historical visitor behaviour
Up to 20 different flexible recommendation algorithms
Automated connection with product feeds for updated product data and images
Dynamic cookie time and extensive frequency cap settings
Multivariate optimization of creatives (templates or custom made)
More than 10 cookie pool types, based on:
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Specific seen web pages or categories
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Number of seen web pages
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Number of visits
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Number of different products a visitor has seen
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Maximum number of times a single product has been seen
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Price of the product a visitor has seen
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Referring marketing channel through which the visitor came in the past
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Historical click through rate of the visitor
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The number of ad views the visitor already has seen (including recency and
frequency)
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The calculated engagement level of every single visitor
Combinations of multiple types are also possible. Our data mining tools calculate different
sets of target groups, with the highest conversion probability. This results into lower advertising costs and very high conversion rates.
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Free professional campaign management
A/B testing for statistical verification of retargeting value
Real time online dashboard for campaign management and extensive, transparent
reporting
Automated learning and optimization
Extensive graphical reporting- and exporting tools
Real time dashboard for reporting and self management