Recommendations are predictions
Netflix is trying to predict what you will watch next. Amazon what you will buy. Facebook whom you would add next. Recommendations are predictions, and these predictions are key for increasing user engagement. There are two main approaches to recommendations: […]
Cross-channel analytics doesn’t work for content
My blog has 350 posts. One of the most visited ones is about the MailChimp API. It is also one of the least shared. Multi-touch attribution analysis with Oribi is one of the most shared posts on Facebook. The most […]
Content shares
Shares is the single most valuable metric you can track. By looking at what your audience is sharing, you get two key insights: 1) who they are (those who spread the word) and 2) what content they are interested in. […]
The Facebook Crawler
Title, description, and a thumbnail image: if you get these three things right, people will pay attention to what you share on Facebook. Once you publish a link via a page post, the Facebook Crawler will scrap the page’s URL, […]
The best distribution channel for your content
Amazon, Google, and Facebook are spending millions on building the best content recommendation systems. Their assumption is that based on the user’s profile (interests, location, connections) and activity (read time, clicks, sales! and overall engagement) they can fine-tune the algorithms […]
Is context more important than content?
Context marketing is the most expensive form of marketing. Imagine that every time you write a blog, create an ad, post a video, you need to think about every single user’s context; which device and channel they are using, what’s […]
Is it better to write content or to pay for ads?
I don’t need to make a point that it is better to get free traffic from Google than paying Facebook for clicks. When you write content, you pay the price once (fixed cost) and get a return forever. When you […]