PRESENTATION ON

GROUP MEMBERSADIL

AFZALMUKESHAFTAB

Q.10 Explain how marketers can use each of the following pieces of data in predictive analytics:A. The website consumers visit.B. Consumers’ level of engagement with visited website (i.e. , the page viewed, length of visits, frequency of the return to the site).C. Visitors’ and consumers’ interests, lifestyle, and personalities(e.g. from the contents of their blogs, tweets, and face book profile).D. Visitors’ purchases, almost purchases, abandoned carts, and product returns and exchange.

PREDICTIVE ANALYTICS

Predictive analytics are used to determine customer responses or purchases as well as promote cross-sell opportunities.

Predictive models help business attract, retain and grow their most profitable customer, improving operation.

THE WEBSITE CONSUMER VISIT: Propensity models, also called likelihood to

buy or response models, are what most people think about with predictive analytics. These models help predict the likelihood of a certain type of customer behavior, like whether a customer that is browsing your website is likely to buy something. This helps marketers optimize anything from email send frequency, to sales staff time, to money, including discounts.

 • Getting deep into your data is a great way to determine the most cost-

effective customers across the entire lifespan, and to help determine the best customer acquisition marketing efforts. However, predictive analytics can also be applied to two other marketing pain points: keeping existing customers, and retargeting those customers who are no longer actively buying from you.

• Sure Google, Yahoo, Cnn, Craigslist, Amazon, Ebay, New York Times are always going to be there. It might even seem like things never change.

• Unfortunately for you and I the game is not quite the same. The web is constantly changing. The way people experience it, the way people compete, the way people read and recommend and buy, the way everything happens.

No of times consumer visit to web site. Viewing brand focus page. As face book page. How long customer stay on web site. Locating your new vs returning visitor metrics. No of times consumer return to site.

B. Consumers’ level of engagement with visited website (i.e. , the page viewed, length of visits,

frequency of the return to the site).

C. Visitors’ and consumers’ interests, lifestyle, and personalities (e.g. from the contents of their blogs, tweets, and face book profile).

A set of shared values or tastes exhibited by a group of consumers especially as these are reflected in consumption patterns.

Lifestyle means the ways groups of consumers spend time and money. Lifestyle can include things like bowling, cooking, car racing, kayaking, attending charity events, having pets, interest in politics, watching sporting events and so on.

Personality traits

Openness.Conscientiousness.Extraversion.Agreeableness.Neuroticism.From the face book profile , twitter

marketer can get information related to the behaviour of the consumer.

D. Visitors’ purchases, almost purchases, abandoned carts, and product returns and exchange.

Convert visit into purchase.On line booking.Apps.Website of the company.Abandoned cart emails are sent to

customers who have added products to their cart but failed to check out.

• Online deal.• It’s like finding cash in your coat. You’re forgetful sometimes,

and so are your customers. Our abandoned cart messaging can help.

• Return policy. ex: return by email• Return in store• Exchange policy .