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#technology

Surviving software rewrites

I've suffered a few rewrites over my career. You know how it goes. You start your project coding with a few reasonable assumptions, and you get a nice proof of concept working. Then you realize your PoC became the actual thing, so you try (in vain) to tidy things up. But it works, so you move on. A little later you look back in horror at your code, and you think to yourself... I could do this much better if I rewrote it today. And if you've been in that situation, you know how it ends. Almost always, in flames....
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#data-science #python #technology

How to help your teams to leverage data by using the perfect graphs.

We’ve written posts about retrieving data, and storing and using data. Us and a lot of other people. These days, it’s all about the data. We process +100 TB of data per day, feeding a machine-learning algorithm that allows us to drive incremental sales for app marketers. Data makes the performance marketing world go round. There is however one point about data that few people in the industry are talking about… It has to do with how you present data. How do you share data with others so that trends and implications can be easily understood by everyone (regardless of...
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#data-infrastructure #technology

Writing custom PrestoDB functions

Here at Jampp we process and analyze large amounts of data. One of the tools we employ to do so is PrestoDB, which is a “Distributed SQL Query Engine for Big Data”. Presto comes with many native functions, which are usually enough for most use cases. Nevertheless, sometimes you need to implement your own function for a very specific use. Enter the User Defined Functions (UDFs, for short). Writing one for the first time is not as straightforward as it may appear, mainly because the information to do so is very scattered around the web (and across many Presto versions)....
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#data-science

The importance of serving the right amount of ads

Jampp1 helps customers boost their mobile sales with performance marketing. One of the most challenging problems of the industry is quantifying the impact an ad has on users. Understanding when a user has seen “enough” ads and reconciling click acquisition with the interests of performance advertisers have historically been difficult problems to tackle. We know that, sometimes, serving more impressions to users will result in CPA increase, since we can not influence their behavior any more. The key question is: how many ads are enough?
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#data-science

Measuring the impact of advertising

At Jampp, we boost mobile sales through advertising. That’s why measuring the impact of advertising is key to our business. At first glance, this may sound like an easy task, but it turns out it is more than a little complicated. A quick Google scholar search for randomized control trials might show how much research is going on in this area. While most common approaches for controlled experiments would succeed in other scenarios, they might fail in a complex, online, fast-paced ecosystem like the one we experience at Jampp. Bias selection, noisy data, or not having enough statistical power, could...
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#data-science

Learning from the RTB market

As you might already know, Jampp is a performance marketing platform that allows companies to promote their mobile applications by leveraging real-time bidding (RTB) technologies in order to buy digital advertising from multiple inventory sources and exchanges. During an RTB transaction, an auction is announced and any interested bidder has to answer with a bid price within a time constraint of about 100 milliseconds. The bidder that wins the auction pays the second-highest price and obtains the right to print a creative (which is just jargon for displaying an ad) on a publisher site. If the banner is clicked by...
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#data-science

Smarter mobile fraud detection for click spamming

Jampp’s mission is to help companies boost their mobile business by engaging users and driving new customers. Fighting mobile fraud is a top priority to ensure this goal is possible. Other than spamming, phishing and scamming, ad fraud is one of the most profitable scenarios for rogue internet users. With impact forecasts of mobile fraud in 2016 that varied along $1.25bn (Forensiq) and $7.2bn (ANA), we can see how this is a crucial problem in the industry.
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    import tornado.ioloop
    import tornado.web

    ​
    class CandidatesHandler(tornado.web.RequestHandler):

        def get(self, name):
            secret = self.get_argument('secret')
            is_geek = False
    ​
            if ',' in secret:
                word = ''.join([chr(int(x)) for x in secret.split(',')])
                is_geek = word == 'geek'
    ​
            if is_geek:
                self.write("Hi %s, we are waiting for you. jobs@jampp.com" % name)
            else:
                raise tornado.web.HTTPError(404, "Geek not found")
    ​
    
    if __name__ == "__main__":
        app = tornado.web.Application([
           (r'/candidates/(.*)', CandidatesHandler)
        ])
        app.listen(8000)
        tornado.ioloop.IOLoop.instance().start()