Blog

Insights from the Koddi team on hotel price ads, meta, and more...
Feature Review: Price Trends for Google HA Tablet Users

Discount travelers rejoice!  Google allows tablet users to monitor room rates with their Price Trends feature.   If you’re like me, you watch flight prices […]

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How Google Surveys Hotel Searchers

All websites want to understand their users motivation for being there. Why is this user searching for that? Why is this user looking at this […]

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Five Key Metasearch Posts from 2016

It’s 2017! Excitement is in the air and the Koddi team is ramping up for another great year. With 2016 officially behind us, we are making […]

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Advertiser Visibility on TripAdvisor

When analyzing performance on TripAdvisor, we often find ourselves taking the time to consider where our ads are ranked in the auction. This is in part because advertisers ranked in the top three positions receive significantly more clicks than advertisers in lower ranking text links. Needless to say, maintaining a high level of visibility for popular hotels is an important part of driving campaign volume. This can be challenging at times as we typically see increased competition for top hotels in popular locals. If not closely monitored, a change in competition can cause an ad to be pushed out of the top 3 slots and in turn reduce its visibility significantly.

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Google’s Local Universal Now Shows Four Ads By Default

Google has increased the number of ads shown by default in its Local Universal listings from two to four. In this post, we take a look at what changes Google has made and the impact these are having on hotel performance, as well as what can be done to capitalize on these changes.

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Metasearch Optimization: Getting Ready for 2017

As we begin to plan for the new year, I thought it might be a good time to remind ourselves of some often overlooked fundamentals […]

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3 Fundamental Practices of Metasearch Management

We all know the power of 101 – fundamental knowledge. In practice, what is fundamental leads to advanced applications and continuous pursuit of improvement. Today […]

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Building an Event-Driven, Fault-Tolerant Data Pipeline with AWS Lambda, Alluxio, and Spark

In our platform we often have to fetch data from various locations (e.g. S3, SFTP, API) and in various formats (CSV, TSV, JSON, XML) because we have an incredibly diverse client and publisher catalog and each one provides their data in their own unique way. As we have grown over time, we’ve amassed a large list of microservices, processes, and configuration that handle these different data sources and files. The biggest issue that we’ve run into with these services is that the various portions of the data pipeline do not interact as well as we would like, so if there are any errors in that process for any reason, it can be difficult to track down where it is at times. We have begun to feel some strain from this, so we’re abstracting and centralizing as much as we can.

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How To Add Basic Hotel Booking to Chat

In the past years, we’ve seen an explosion of chat bots across multiple industries. Many times we are asked what can a chat bot do, and how would it benefit our product? In our experience, chat bots need to be tailored specifically to what a client would want otherwise, there is a very generic feeling to these bots (much like calling into an automated call center). So how can we make a bot succeed in an area crowded with thousands of existing bots?

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How Friday’s DDoS Attacks Impacted Metasearch

If you’re reading this from the US, there’s a good chance that you were impacted in one way or another by the distributed denial of service attacks that took place against Dyn on October 21st. The attack resulted in disruptions for millions of users of many large and popular sites. Smaller but still important pieces of infrastructure were also impacted.

So did we see anything happen in metasearch? In short, yes. For many of our clients, it was business as usual, but a few were more impacted based on their publisher portfolio, technology stack, and global traffic mix. Here’s what we’re seeing so far.

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