RJMETRICS CASE STUDY

They complement each other well, and have built up an even bigger team of people to support the company. Here are list of things I would like to dig into further when time permits: Bob and Jake built an online demo after learning that customers wanted to see a product before agreeing to buy it. This change would be focused on moving the users in green to above that orange line:. Their next big PR hack was an analysis of every Twitter user. Since they had built the business on lean startup principles they were able work out all the difficult challenges early on.

For the first 18 months they didn’t pay each other anything. In true lean startup fashion they didn’t build anything until they had paying customers lined up. Further Possibilities Slicing data can be extremely beneficial, or it can just be analysis for analysis sake; it depends on whether you ask yourself what you want to gain from the analysis before you make the changes. They complement each other well, and have built up an even bigger team of people to support the company. Since they had built the business on lean startup principles they were able work out all the difficult challenges early on.

Their focus is on inspiring data-driven people. Anything over 1 means a company is leaving a lot of money on the table and won’t scale up as fast. They currently have 83 employees, and a really nice Center City office.

rjmetrics case study

Everyone will say Yes if you ask: Having email collects on their site gave them enough new leads to keep them busy for an entire year. Here’s the full hour and a half video of the event: Around this time Jake heard about Bob’s idea to start a new venture based around data analysis.

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How RJ Metrics is Growing a Billion Dollar Company with Content Marketing

Bob started testing out some new business ideas by interviewing potential customers. They both had the itch to start their own startup. One of the major headaches of content marketing is the shortcomings of traditional success measurement. If you have a story to share, get in touch.

Then when Airbnb became a hot topic they did a story about their data, and so on. Later in Bob noticed a sign for Collingswoodsingles.

Techcrunch picked it up and promoted it all day on their home page. Their next big Rjmetris hack was an analysis of every Twitter user.

So, with this context, what can we tell from this graph? Yali Sassoon Yali is co-founder and analytics lead at Snowplow. In true lean startup fashion they didn’t build anything until they had paying customers lined up. Want rjmettrics read the Boxter White Paper?

rjmetrics case study

You then hear from them what it’s really going to take to make a sale. In stidy words, you got people to click, but did they like the content? Splitting the data by source organic, Twitter, etc.

It started out with just the two of them working in Bob’s attic in Jersey.

How RJ Metrics measure content engagement with Snowplow: a case study

How we used Snowplow Once we had our Snowplow analysis set up and piping data into Amazon Redshift, we were able to use Mode to query the data directly, and visualize those query results. That exposure lead to thousands of traffic, and then hundreds of thousands when the national press picked it up. Add content indicators horizontal lines for different sections of the report: As with most web analytics, the takeaways here are mostly guideposts.

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There were a few problems with PDFs: Their job was to research promising new startups, so the company could decide which ones would be best to invest in.

How RJ Metrics measure content engagement with Snowplow: a case study

When analyzing this data, there are a few things we needed to keep in mind: Disqualify those users returning to the page, concentrating only on unique views: This would allow us to see which paragraphs were particularly compelling low dropoff and which ones needed some more work high dropoff. Bob and Jake make a great team. They were able to tap into Twitter’s API and pull out a huge amount of data.

So cqse fix that problem they moved their office into Philly. Further Possibilities Slicing data can be extremely beneficial, or it can just be analysis for analysis sake; it depends on whether you ask yourself what you want to gain from the analysis before you rjmwtrics the changes.

rjmetrics case study

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