- Taboola Blog
- Consumer Data
Here are our eCommerce best practices. Taboola worked with an internal content strategy team to analyze thousands of eCommerce discovery campaigns.
Black Friday and Cyber Monday online sales hit record breaking numbers this year. According to black friday consumer data from eMarketer, online sales surged to $1 billion dollars daily leading up to the weekend, and reached more than $3 billion dollars on Black Friday and again on Cyber Monday. Leading up to this year’s sales, many were skeptical if the infamous holiday shopping weekend still held the same weight. Just as we demonstrated what happens when consumers spend time reading about fashion, we wanted to also examine the power of a sale on Black Friday and Cyber Monday. To do this, we examined a few of the most popular mobile devices and tablets—a common Black Friday and Cyber Monday purchase—and measured them up to their deals on the day. Here is what we found. During the last quarter, the iPhone steadily remained a front runner in terms of how much […]
Consumer data: Tis the season…for holiday shopping! The weather is cooling down, the leaves are changing colors and shoppers are already starting to shop for winter attire. Believe it or not, consumers already have an eye out for the perfect outfit for holiday parties, stocking up on sweaters and boots to stay warm, and maybe even getting an early jump on gift giving. Ahead of the holiday shopping season, we took a look at consumer data to find out when people are actually spending the most time reading about retail. Here’s what we learned: Over a roughly two month period of time, we found that most folks are browsing for clothing on Thursdays. The topic of “clothing” saw an uptick of 9.3 percent on Thursdays compared to any other day in the week. Clothing is also a popular topic for Wednesdays which saw an uptick of 3.5 percent compared to […]
As the digital media landscape grows and evolves, more and more marketers are putting emphasis on targeting. Of course this makes sense. If internet advertising is the wild west, targeting is a great Sheriff to keep your numbers and metrics in check. That being said – targeting can often be flawed. Say you’re a company selling baby products. Perhaps you’d target married women ages 25-35, as they’re likely to have children. But how many grandmothers, fathers, and single mothers are you missing out on? This is a simplified example, but regardless of your particular business, there’s a good chance you’re letting a percentage of your audience fall through the cracks. Let Users Opt-In to Your Message This is where content marketing, and more specifically content discovery, can play an important role in your efforts. By putting your value proposition out into the world, users can opt-in and self-select merely by […]
As Taboola expands internationally, we’re getting more new data every day. We decided to see just how different user behavior is from geo to geo. As you build out your content campaigns, take a look at the below data for some inspiration! Negative & Positive Content What do the United States and the United Kingdom have in common? It seems that users from both of these countries click on more negative content (graph shows the calibrated CTR score): Not All Positives Are Created Equal Three words that are commonly used to describe positive content were compared in the nine countries related to this study: ‘Top’, ‘Best’ & ‘Perfect’. Does anyone else see what I see regarding the CTR score in the U.S.? Is the American dream of success and perfectionism demonstrated perfectly in the graph below? Punctuation Marks Have you ever asked yourself if adding punctuation marks makes your […]
Do banner ad designs, including impressive size, bright colors, animation, etc., get more clicks? In the literature, there are two main views on banner ads: The distinctiveness view: Banner ads are distinct from their surroundings, and therefore will automatically attract people’s attention. The banner blindness view: People have developed a blindness mechanism to automatically avoid such ads, and therefore these designs are ignored even if their content is consistent with people’s needs. So who’s right? Sun, Lim, & Peng (2013) proposed an evolutionary perspective in which banner ads have initially gotten a lot of clicks, but because of the negative experience that users have had when interacting with banner ads — such as feelings of irritation, distraction and intrusiveness — users have developed an altogether blindness to them. Have you ever taken a huge bite out of a delicious looking apple, only to realize that the apple was gross and […]