Weather conditions influence almost every aspect of our lives. Simply put, people feel differently on a sunny beach day in California than on a snow day in New York. When people feel differently, they act differently. Why not divide visitors into segments and personalize your campaigns based on different weather conditions?
Personyze Weather Segmentation Engine allows you to do just that. Based on the visitor’s IP address, Personyze Segmentation Engine Identify current and expected weather conditions at the visitors location, targets visitors based on that information, and automatically present them with the most appropriate marketing messages and content.
To start targeting visitors based on their expected weather conditions, you only need to choose the appropriate Weather Segmentation Rule, in Personyze Audience Area.
When a severe snow storm is about to hit a certain region of the country, a tire selling website can automatically issue a warning to visitors and email subscribers located in that region. Combine such a warning with a discount on snow tires and chains, promise free expedited shipping and you get increased sales and conversion rates. Even if the visitors won’t make a purchase, they will probably remember the warning.
Tire companies aren’t the only ones that can rely on Weather-Based Segmentation to experience an uptick in sales and conversions. Travel websites use Personyze to automatically adjusts their marketing message and content to offer New York residents a nice discount on a Hawaii vacation, while at the same time tempt Miami residents with a family Ski package to Canada.
But honestly, such drastic examples aren’t necessary.
You can use Weather-Based Targeting to sell windsurfing equipment to a windsurfing buff, who lives near a beach, when it is about to get windy. When optimizing a car dealership website, why not display a banner of a nice convertible when it’s sunny outside and a 4×4 SUV when the weather is anything but pleasant? A website selling groceries online, can promote hot chocolate on a cold day, and ice cream on a hot day.
Basically, since all decisions the visitors make are affected by weather, the possibilities are endless.
This fashion site can show offers and promotions which are more likely to be relevant to his interest
Your Local Bank is enacting a campaign to show more personalized content to visitors on their homepage, with CRM Targeting and other methods.
Monkey Gadget is personalizing their site with relevant ads, banners, and product recommendations, using past interactions and other data.
Mozzareli personalizes their site to show visitors relevant content and promotions based on the time of day, and their most likely interests.
Smith & Lauren Law is personalizing their landing page to reflect the interests of visitors, based on what ad campaign brought them there.
Shopper Reviews is on a campaign for greater engagement, using personalization to show visitors what they are most interested in.
Casino Pro is promoting their VIP account to visitors in target demographics, based on past interactions and CRM data.
Casino Pro has another campaign to target visitors based on the games they played most, from past interactions with the site.
Global Dating uses personalization to show visitors relevant content according to their age, gender, partner preferences, and location.
Times of India is creating different versions of their home page based on gender, to give visitors a more relevant experience.
A2Z Travel personalizes their site based on the destination, season, and vacation type in which they are interested.
AB Travel personalizes their landing page based on what ad campaign the visitor arrived from, as well as their past interactions.