The human brain is a complicated, information-processing system. It controls and coordinates actions and reactions with the information it ingests.
How you process information, and the process you create to follow up on what you do with information, separates each person from the next. A person who follows a “process” is considered more organized, effective, and knowledgeable than someone that does not.
How the Guardian Mobile Lab and MaassMedia efficiently analyzed qualitative data from thousands of survey responses with natural language processing.
In a recent article, “Analysis Without Benchmarks: An Approach for Measuring the Success of Mobile Innovation Projects,” we discussed how MaassMedia and the Guardian Mobile Innovation Lab worked together to develop survey questions that enabled the lab to analyze users’ reactions to new mobile news formats (such as their experiment sending real-time updates on the 2016 US presidential election results to users’ lock screens). Here we’ll explain why we include open-ended questions in these feedback surveys, and how we developed a natural language processing algorithm to evaluate the sentiment of thousands of users’ free-form responses.
Intro to Mobile Analytics – how does it differ from the fixed web? Now that we are into 2014 I am sure all of you understand how important mobile is to your business. But just in case you have been in a cave or under a rock for the last 4 years, here are some pretty staggering statistics about the Mobile web.
Viraj Patel is working with MaassMedia as part of Cornell University’s externship program. He has worked predominantly in the hotel and retail furniture industries. In his free time he enjoys watching movies and following his favorite sports teams.
You cannot manage what you don’t measure, and that certainly applies to marketing. Measuring how well each marketing channel drives traffic to a website is imperative to any company’s success, and analytics allows you to do that. Because my background is predominantly in hospitality, I’d like to demonstrate how analytics can benefit the hotel industry.
55% of all leisure and business reservations are expected to be made online for 2013 (PhoCusWright), which means measuring and optimizing a hotel’s digital marketing is more important than ever before.
Although monitoring standard web metrics like visitors, page views, and average visit duration is useful, that information is just the tip of the iceberg. Truly Transformative Insights™ that change the way your organization manages its marketing spawn from pulling and correlating data, not only from web traffic, but also from a variety of marketing channels.
The average conversion rate for hotel websites is about 2%. In other words, approximately 98% of visitors to a hotel’s website leave without making a reservation. This suggests that the hotel industry could be doing significantly more to capitalize on visitors’ interest. It is imperative that hotels utilize the right data in the right way to paint a clearer picture of how their audience interacts with their marketing.
The key to understanding your audience is segmentation. We’re not necessarily referring to segmenting visitors by age, gender, or geographic location (although, depending on your business goals, those qualities might be important). At MaassMedia, we strive for more granular segmentation to understand each visitor’s intentions, then serve each visitor a unique digital experience optimized for conversion.
With analytics, you can measure where each visitor stands in the purchase consideration spectrum. Some visitors may have their minds made up about booking a room, while others might be on the fence. Defining the Key Website Actions on your hotel’s website and tracking visitors who complete these actions can reflect a visitor’s propensity to buy. Additionally, analytics tracks metrics like how recently or frequently a visitor views the website, which can help identify which visitors are ready to book a room and which are undecided. Using this information, hotel websites can then personalize the content that the visitor sees, raising their likelihood to book.
For example: Let’s say a prospective guest has visited the hotel’s site on numerous occasions in a short time span without making a reservation. We can establish that the guest is probably significantly interested in booking a room, but might need some added incentive to make the decision. Using analytics, the hotel could identify these visitors and display a time-sensitive offer only for those visitors who are on the fence.
Hotel franchisors can also capitalize on trends in their data. For example, if there is a substantial increase in searches for a particular destination, brands can recommend that their franchisees in that location raise their rates because of the spike in demand. This could substantially improve the revenue that the franchise’s website generates.
Although opportunities to customize or modify the website may be limited for branded hotels (franchisors may not give complete freedom to alter or add content to their website), independent hotels and resorts have significant opportunities to use analytics to their advantage. Even if they can improve their conversion rate from 2% to 2.5%, that’s still a 25% increase in conversion rate.
Many independent hotels haven’t implemented any data analytics on their websites. Without even a basic implementation, hotel owners are missing out on important insights about their clientele. For example, most hotels offer some assortment of packages to their guests, but if hotels aren’t using analytics, they can’t know which packages are most and least popular with certain types of visitors. By tracking purchases only, they miss out on seeing how many guests viewed the package but chose not to purchase it.
Similarly, if the hotel offers services like banquet halls or catering, web analytics can shed light onto visitors’ level of interest and the best ways to market those services online. Are guests searching to sign up for loyalty membership? Do they want to book meetings or events in a particular city or region? Are they more or less price sensitive? Analytics enables hotel brands to gather data that can answer these questions. If utilized correctly, it can be a tremendous asset to improving a revenue management and building a customer relationship management (CRM) system.
Analytics in the hospitality industry provides a way to better understand guests’ purchasing and staying behavior, as well as audience engagement across a variety of marketing channels. MaassMedia works with a variety of clients in a range of industries. If you’d like to know more about how your organization can use marketing analytics to find Transformative Insights™ about your audience, contact us today.
It might seem like measuring traffic from every visitor collectively will create a holistic view of audience behavior, but that’s not actually the case. Without segmenting your traffic into groups of visitors with similar traits, it’s impossible to find those data analytics that change the way you do business.