Akamai | Managing Bots in Travel Companies
Transcription
Akamai | Managing Bots in Travel Companies
MANAGING BOTS IN TRAVEL COMPANIES TRAVEL’S BOT PROBLEM Bots are a fact of life for travel companies, accounting for 30% or more of a travel site’s traffic.1 From the outside in, bots are a natural fit for a very dynamic industry - prices and schedules change constantly yet “deadlines” still need to be met. With so much constant change, it is challenging for legitimate and malicious actors to stay up-to-date - enter bots. What better way to track and aggregate all of the changes to flights, schedules, prices, and hotel availability than with an automated program that scours the Internet for the most recent and relevant data. However, bots can impact site performance, search visibility, on-site experience and even the competitive landscape. If a travel company doesn’t know what types of bots are on its site, it can’t act to reduce the impact of those bots on customer experience. So what do bots have to do with travel? Simply put, bots are automated traffic on a travel company’s site. They have many different purposes, both positive and negative. Bots impact: how customers find a site; the quality of the onsite experience; the accuracy of marketing data; and the resulting analytics, competitive positioning and even, directly, the bottom line. How travelers search and select travel and hotel accommodations: Once a traveler has decided to plan a trip, the first step is often to search out travel and hotel options. The path can start with traditional search engines (e.g., Google, etc.), OTA sites (e.g., Expedia, Priceline, etc.), or even on the provider’s site (e.g., United, Hilton, etc.). Bots play an important role here. Search engines create bots to crawl websites and return information on a site’s content, helping shape how those websites are prioritized in search results. It is necessary to ensure that search engine crawlers receive high performance to avoid jeopardizing their rankings. Travel companies also need to consider the changing role of search engines. Take Google Flights as an example. In addition to connecting travelers to OTAs or provider sites, Google can now provide actual itinerary search functionality, results and booking information. This introduces another consideration for travel MANAGING BOTS IN TRAVEL COMPANIES companies that may have been stopping bots crawling their itinerary builder. What if Google (or Yahoo or Bing or others) wishes to provide this functionality? Do you prevent them or encourage them? Travel companies also create bots or contract with a third party service to crawl their own site in order to evaluate how effective their SEO efforts are. A related aspect of bot interaction involves partners that sell a travel company's product or service through other channels (OTAs or traditional travel agents). They will scrape the site to ensure they have the most up-to-date pricing and content. The purpose is legitimate and the benefit real (extending the reach and audience). However, travel companies need to ensure that these bots get the information they need without negatively impact on-site experience. On-site Experience: Once the travel company has brought the customer to its site, it must ensure a high-quality experience so that the shopper can easily and quickly find the products or services they want. However, with 30% or more of traffic being bots [definitely need a cite up above if going to repeat this], this means that regardless of the type or intention of the bot site performance will degrade, causing legitimate, human traffic to have a negative experience. Marketing Data and Analytics: On-site experience is also driven by data. As more travelers expect personalized, concierge type experiences, travel companies need to leverage the data they are capturing on their sites. This enables them to deliver a more customized experience, leading to more, higher-value sales. However, a by-product of the proliferation of bot traffic is that marketing data, which drives key tactical and strategic decisions, is corrupted. Bots skew the data and misrepresent the true nature of customers, invalidating conclusions drawn from the data set. Customer Loyalty/Brand Awareness: Loyal customers are awesome - they buy more, more often and support the brand socially. Building trust with customers to move them into this upper echelon is challenging but very rewarding. However, third parties can use bots to get between retailers and their customers, jeopardizing that customer relationship. For example, bots that scrape sites for information can often confuse and divert customers as they search for a travel solution (flights, hotels, rental cars, etc.). If identical offerings come up on multiple sites, the impact to travel company's brand can be significant, leading customers to potentially shift loyalty. Travel companies also lose out on the ability to collect customer data, a growing concern as data quickly becomes the currency of the future. Balance sheet: There is direct correlation between bots and costs in the flight booking industry. If bots are on a site generating queries, whether for good or bad reasons, these requests are sent to global distribution system (GDS), which sends back the appropriate information. Every time the GDS communicates back to a request, the site generating the request is charged. If 30% of traffic is bots and there are thousands if not hundreds of thousands requests a day, that can quickly balloon the cost to a travel site for activities that are not driving any revenue. Another way that revenue is impacted is when a travel site’s content is scraped by an unauthorized party. If this data is used to capture travel revenue on the 3rd party site, the victimized site loses the opportunity to cross-sell or up-sell. By some estimates, this can be $20-$40 per traveler for airlines - a significant source of additional revenue.2 MANAGING BOTS IN TRAVEL COMPANIES Competition: On site scraping is a big concern when it comes to competition. As information is shared openly in order to provide a better customer experience, it also means that competitors can scrape sites to ensure their pricing and product offerings are comparable or better. This is made even easier through bots, automating and scaling the process beyond what human competitors could do. What does good look like? The ideal solution would allow a travel company to manage bot traffic to ensure the best possible outcome - maximizing the positive results and minimizing the negative - depending upon the type of bots it sees. Simply blocking all bots or even just bad bots is only a temporary solution that is ineffective in the long run - blocked bots will return smarter and faster. By managing how those bots are allowed to interact with the site, travel companies can minimize the negative impact of those bots without tipping off the operator that they have been discovered. Two common solutions are simply slowing them down to reduce the value and timeliness of the information they are gathering or serving them alternative information - pushing them to a page with intentionally inaccurate content. Both are great solutions considering how travel is governed by deadlines. Bots absolutely provide a benefit to travel companies. They can help improve search results, improve SEO, and in the case of search engines turned booking agents (see Google Flights), enable travel providers to get their brand in front of customers with fewer clicks. Rather than simply blocking (bad) bots, travel companies need to understand what bots are on their site and what they are doing - this will allow them to initiate a strategy that elevates good bot behavior and manages bad bot behavior. Akamai’s Bot Manager: In direct response to the current state of bot solutions, Akamai has created a unique alternative for travel companies struggling to deal with the bot problem. The solution is designed to allow an organization to identify, categorize, and manage the bots - good and bad - to achieve the goals for their website. Bot Manager provides a range of management actions beyond just blocking to help organizations maximize the positive impacts and minimize the negative impacts of their bot traffic. They are able to then analyze and report the activity to improve visibility on the bot issue. In addition to visualization and reporting on bot traffic, Bot Manager can also help organizations with their own internal marketing data. Website and page view statistics can be significantly skewed by bot traffic, making it difficult to understand the behavior of real users interacting with the site. Bot Manager identifies bot-generated requests in order to filter out bot traffic from human traffic, which can improve marketing’s data and analysis, leading to better business decisions. To learn more about Bot Manager visit us here. ©2016 Akamai Technologies, Inc. All Rights Reserved. Reproduction in whole or in part in any form or medium without express written permission is prohibited. Akamai and the Akamai wave logo are registered trademarks. Other trademarks contained herein are the property of their respective owners. Akamai believes that the information in this publication is accurate as of its publication date; such information is subject to change without notice. Published 04/16.