Brooks, the American manufacturer of running shoes, which sends email newsletters with deals on goods appropriate for the prevailing weather type.

As the name implies, weather-based advertising creates ads that instantly change to fit the weather trends. Through this sort of advertising, a powerful personal message will be delivered to the customers, and it will encourage them to shop.

Ads personalization

The weather-based advertising enables companies to target clients with relevant messaging and personalize each ad campaign. For instance, during the colder months, people tend to favor hot food and hot beverages. Knowing this, companies can advertise soups and hot beverages to clients just before a storm or in the winter.

In fact, a variety of sectors lend themselves nicely to weather-based marketing:

The retail sector is the first. Weather-based advertising is a highly individualized technique, and retail businesses are striving to personalize each of their messages more to draw customers. For instance, they can base on the weather when deciding which products to show and market. They can sell gloves and stay warm on a chilly day. They provide umbrellas and raincoats for sale on rainy days.

The second is the world of fashion. Sales will increase if the proper products are advertised in the right conditions. For instance, firms should promote jackets during exceptionally cold weather. It's also a good idea to stop running winter clothing advertisements once the weather warms up the following winter.

Supermarkets and grocery stores are the third. Everybody adjusts their shopping according to the weather. For instance, people frequently purchase items in bulk and stockpile items like rice and eggs before a storm. Or perhaps customers adore fruits in the summer.

The insurance sector is the fourth. Insurance firms may broadcast advertisements before a storm or during the flood season to remind customers of the advantages of purchasing car insurance when data indicates that severe weather is on the horizon.

The auto industry comes in fifth. Businesses can utilize weather data to choose the type of car to market or to highlight the car's best attributes in such weather.

Other industries, such as those selling coffee, literature, home appliances, etc., should benefit from weather-based advertising to increase sales.

Notable ads campaigns

Driving Difficulty Index (DDI), a technology created by Subaru, can generate a map that appears directly on The Weather's interactive map on a variety of devices, including mobile, tablet, and desktop. Subaru is also contacting customers when they watch the weather.

With an average of 4 minutes per visit and 66% of viewer visits, Subaru's DDI campaign is regarded as a success and was among the most engaged during the 2015–2016 stormy season.

Or Bravissimo discovered that sunny days are the most significant influence in the sale of swimwear (regardless of temperature). From there, they created and launched a Google AdWords campaign with weather targeting and built-in real-time forecasts. As a result, their bikini sales climbed six times in three months, and their ad conversion rate doubled.

Like Brooks, the American manufacturer of running shoes, which sends email newsletters with deals on goods appropriate for the prevailing weather type. Although this action is minor, it produces extremely reliable metrics, including a 61% rise in total conversions, a 56% increase in revenue from newsletters containing the term "rain," and a 95% increase in sales from newsletters containing the word "hot."

Long road ahead

Weather-based advertising has advantages and disadvantages, just like any other alternative.

Weather is something that humans cannot control or modify; instead, they can only chase it. The weather is more variable, particularly when there has been significant climate change. Therefore, businesses must react swiftly, immediately, and flexibly to weather patterns in order to promote depending on the weather. If they don't, their company will very likely miss the chance to connect with their clients, or their advertising will be less effective because it doesn't make sense in the situation.

Feelings about the weather differ since not all solutions for weather analytics incorporate machine learning and regional data into their algorithms. Advertisers must understand varied weather conditions in order to appeal to consumers in various areas in different ways, even when using weather solutions and technologies for ad campaigns.

All of this calls for extremely sophisticated weather forecasting and analysis technologies, which no tech company fully controls now. Therefore, there is still a long way to go for weather-based advertising.