DSF PERSONALIZED MARKETING

DSF PERSONALIZED MARKETING

Customers often give you signals about what they like. DSF analyses these signals and identifies preferences of each customer - The categories they prefer, the brands they follow and the prices they’re comfortable with. These preferences need to be picked up from all possible customer footprints such as mobile apps, social media, demographic data and your own customer preference summary.

What: Decision Sciences Factor(DSF) predicts,which people have the highest likelihood of purchasing your product or service, providing the most cost-effective target marketing.

Mass personalization include your website knowing a user's location, and buying habits, and ability to present offers and suggestions tailored to the user's demographics.

Individual personalization is based upon knowing your customer definition entirely and offering elite features to the elite customers.

Predictive personalization is the ability to predict customer behaviour, needs or wants and tailoring offers and communications very precisely. All possible customer footprints are combined together and a unique customer definition is obtained, all the other pieces of information are aggregated around this unique customer definition and targeted campaigns are executed. Predictive personalization is a much more recent means of personalization and can be used well to augment current personalization offerings.

HOW

BENEFITS

Increases customer engagement and Retention.

Increases Conversions, cross selling and up selling.

Makes effective marketing campaigns.

HIGHLIGHTS

Understand your target audience for each campaign by visualizing business rules

Build highly accurate predictive models without data science expertise

Scale up from concept to production in Hours

RESULTS

Increase Profitability

Increase Conversion Rates

Increase customer Satisfaction

Substantial Lower cost-per-lead.

Industry
All industries
Why Decision Sciences Factor?
Make your marketing campaigns more effective and targeted with automated machine learning. No data science expertise required.




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