How Many of Your Visitors Block Your Snowplow Tracking?

18 March 2019  •  Mike Nemirovsky
tl;dr As a company that focuses on helping businesses collect data in order to better serve their customers, we inevitably get asked about what happens when those customers don’t want to be tracked. With the usage of Ad-blockers, and in particular privacy filters, on the rise, some of our customers are seeing the effect on their data. This effect is at times perceived as a problem or a threat towards the quality of data collection....

Snowplow R113 Filitosa real-time pipeline improvements

06 March 2019  •  Ben Fradet
Snowplow 113 Filitosa, named after the megalithic site in Southern Corsica, is a release focusing on improvements to the Scala Stream Collector as well as new features for Scala Common Enrich, the library powering all the different enrichment platforms. This release is almost entirely made of community contributions, shoutout to all the contributors: LiveIntent for: adding Prometheus support to the Scala Stream Collector making it possible to use POST requests in the API request enrichment...

Snowplow at Superweek: machine learning and actioning data

06 March 2019  •  Archit Goyal
For anyone unfamiliar with Superweek, it’s 5 days of analytics talks and is quite a lot like going to summer camp as a child with: Less sun and grass, more fog and snow Fewer hyperactive children, more hyperactive data analysts Less ice cream, more fried Hungarian potato pancakes with sour cream and chives Fewer sporting activities, more GTM activities And fewer small bonfires and more big bonfires I will aim to cover what I took...

Snowplow for retail part 1: how can I use Snowplow?

06 March 2019  •  Archit Goyal
“We have several disparate brands and users have multiple touch points (web, app, over the phone and in store) before purchasing and we don’t have a single customer view. This means we can’t effectively group our users. We don’t have a good understanding of how our marketing spend across multiple channels affects revenue. We just released an app and people are downloading it but not buying on it, it feels like lost revenue. We’re spending...

Snowplow for retail part 2: what data do I track?

06 March 2019  •  Archit Goyal
We recommend you you have read the first post in this series before diving into this one to ensure you have all the context you need! There are also three more posts in this series that you can read next: What can we do with data when we’re getting started? What can we do with data when we’re growing? What can we do with the data when we’re well established? What do I track? With...

Snowplow for retail part 3: what can we do with data when we're getting started?

06 March 2019  •  Archit Goyal
We recommend you you have read the first post in this series before diving into this one to ensure you have all the context you need! What can we do with the data, we’re getting the data team started? Five example of what you can do with a treasure trove of Snowplow data and 1 analyst are as follows: Look at user engagement on the website Look at user engagement on mobile apps Understand offline...

Snowplow for retail part 4: what can we do with data when we're growing?

06 March 2019  •  Archit Goyal
We recommend that you have read the first post in this series before diving into this one to ensure you have all the context you need! Now we’re looking at a data team that is growing and has several analysts and maybe some spare engineering resource as the company is starting to see real value in the analytics you have served to date. We’re working under the assumption that you’ve already taken all the steps...

Snowplow for retail part 5: what can we do with data when we're well established?

06 March 2019  •  Archit Goyal
We recommend you you have read the first post in this series before diving into this one to ensure you have all the context you need! Senior management love the work of the data team so far: You’re tracking site and mobile app engagement with a host of custom events You’re tracking a host of offline conversions and can stitch these to the behavior on the site or app You have brought down marketing spend...

[Tutorial] Adding what3words reverse geocoding data to Snowplow enriched events

27 February 2019  •  Dilyan Damyanov
Snowplow’s API Request Enrichment lets us add dimensions to an incoming Snowplow event using an internal or external HTTP-based API. In this tutorial, we’ll look at how you can use the enrichment to add a ‘reverse geocoding context’ by doing a lookup against what3words.com’s API. What is what3words? what3words has divided the world into a grid of 3m x 3m squares and assigned each one a unique 3 word address. (The main Snowplow London offices...

Snowplow Spotlight: Yulia Golova

27 February 2019  •  Miriam de Medwe
Yulia Golova - Support engineer based in Portugal 1. What do you do at Snowplow? I’m a Support Engineer and part of a team that provides assistance to our Snowplow users. Mostly my job involves answering technical or practical questions, monitoring our client’s batch pipelines, adjusting them, and providing guidance through recovery processes. We also try to make sure that once initial set up is complete, our users feel comfortable to explore many more additional...