Using entropy to route web traffic – Adam Laiacano
Using entropy to route web traffic Earlier this week, Blake asked me for some help with a problem he's working on. He has a couple of hash functions that are …
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Tablets surpass smartphones in driving global Web traffic | Mobile …
For devices that hit the market just three years ago, they're doing pretty well, generating 8 percent of all Internet traffic. Read this article by Dara Kerr on CNET …
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Job Site Web Traffic Explodes | The Reformed Broker
Job Site Web Traffic Explodes. Joshua M Brown; March 7th, 2013. I'm not sure what's behind this phenomenon – but traffic on job websites has exploded this …
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Popular Questions
What does Adam Laiacano mean by using entropy to route web traffic?
Using entropy to route web traffic means measuring how uncertain or varied a visitor’s behavior and traffic source appear before deciding where to send that visitor. A routing system can use signals such as referral source, device, location, and prior actions to distribute visitors among pages or destinations. The goal is to make routing more adaptive instead of sending every visitor through the same fixed path.
How can entropy-based routing improve web traffic distribution?
Using entropy to route web traffic can reveal when incoming visitors are evenly spread across several possible destinations and when one route is receiving a disproportionate share. Marketers can monitor those patterns and adjust traffic rules, landing pages, or campaign assignments accordingly. Testing each route with consistent measurements helps determine whether the distribution improves engagement and conversions.
What data is needed for Adam Laiacano’s approach to routing web traffic with entropy?
An entropy-based traffic model needs reliable observations about visitor sources, routing choices, and outcomes such as clicks, sign-ups, or sales. These events should be recorded consistently so that differences in traffic quality are not confused with tracking errors. Start with a small set of meaningful signals, calculate how traffic is distributed, and refine the routing rules as more data becomes available.
What is a practical way to apply entropy when routing web traffic?
Begin by listing the destinations available for a campaign and collecting the signals that distinguish one visitor segment from another. Calculate the distribution of visitors across those destinations, then investigate routes with unusually high concentration or unpredictable results. Run controlled routing tests and compare conversion data before making entropy-based rules part of the normal traffic workflow.