Blog

Insights from the Koddi team on hotel price ads, meta, and more...
Developing with an Immutable Infrastructure

What is Immutable Infrastructure? Simply put, your hardware stack is created and maintained using the programming concept of immutability: once something is instantiated, it is […]

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Product Update: Koddi Now Providing Facebook DAT Support for Vacation Packages

Koddi is proud to announce that we are expanding our support for Facebook DAT.  Koddi partners can now leverage Dynamic Ads for Travel (DAT) as […]

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Reach Highly Engaged Customers With Facebook DAT

With the shift from DAP to DAT, travel brands are now able to reach a highly engaged audience. For groups like IHG, this has led […]

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Preventing >$1,000,000 in Fraudulent Click Costs

In the last year alone, our fraud detection systems have identified over 48,175 record-level instances of click fraud, and we’re proud to have proactively saved clients over $1,000,000 in associated costs to date. Minimizing click fraud and recouping associated costs are activities best managed programmatically, but we can share some of the basics you can apply to any account.

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Koddi Releases Scala Geocoding Library

Today Koddi is excited to announce the initial release of our own Scala Geocoding library. Here at Koddi, we value open source projects that allow small organizations to grow quickly and hope this project can return the favor for other developers out there!

A few may be asking why we chose to write our own library for something as simple as Geocoding. When we were researching libraries to use, we noticed a lack of high-quality Scala geocoding libraries. There are some available<, but most of them never really caught our eye, so we set out to write a clean, lightweight library that any Scala programmer can use. Before building the library, we had some clear-cut objectives: No 3rd-party dependencies, fully tested, compliant with the Google Geocoding API including tertiary parameters, and easy enough to use that developers would want to adopt this library. The Koddi Geocoder accomplishes all of these goals and some additional features we were able to roll in afterward. Let's dive in and take a look at some usage examples.

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4 Tips for Facebook’s Dynamic Ads for Travel

In our previous blog post, we highlighted the main differences between Dynamic Ads for Travel (DAT) and Dynamic Product Ads (DPA). Put simply, Dynamic Ads for Travel (DAT) is essentially Dynamic Product Ads (DPA), but designed specifically to support travel brands (boy, do we love acronyms.)

We have been running DAT campaigns from the earliest days of the program, and with participation steadily increasing, we figured this would be a good time for us to share some of the things that we’ve learned along the way.

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Feature Disparity in Google’s Hotel Search

In recent months, Google has added new filtering options for the two main ways users interact with a Hotel Ads, localuniversal (the knowledge panel in […]

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Why Transition to Facebook DAT from DPA?

As discussed in our previous post, trying to use Dynamic Product Ads (DPA) for Travel is possible, but isn’t ideal due to the number of […]

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Where are the Business Travelers?

A few months ago we were in the middle of 2017 planning and were talking to travel advertisers about their top goals for the coming year. One of the most common themes was driving more bookings from business travelers. This got us thinking a lot about what trends we’re seeing in the space overall and the best way to quantify them. In downstream conversations and projects, it became really apparent that it is far too easy to be prescriptive about this group instead of thinking about the bigger picture.

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Good News for Tablet Traffic

When tablets first came out, they were a technology of the affluent. I remember working with luxury retail brands at the time and there was incredible buzz about being able to reach users on that device. Traffic was cheap and conversion rates were good. Lots of experiences felt high end on tablets.

Travel has always had a problem with tablets, though. This chart – even if a few years old at this point – sums the problem up pretty nicely…

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