Gamification experts reveal how to level up your fan engagement – and supercharge brand loyalty and growth
You need to create experiences that feel genuine and encourage excitement around fans’ favorite teams and players.
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You need to create experiences that feel genuine and encourage excitement around fans’ favorite teams and players.
If you’ve got a baseline level of fitness for your data, you’re better able to handle challenges when they arise.
Sometimes, there are diamonds in the rough – good performers, or successful initiatives, that do well enough to be worth noticing, but aren’t massive anomalies that would really stand out on a graph.
When the Yankees Entertainment Network wanted to launch a new DTC offer, they turned to Pickaxe to help.
Long before BritBox was streaming much loved shows to audiences around the world, they were looking for an experienced team to help them take the idea from concept to launch.
Nexstar needed a better way to understand user behavior, ad anomalies, and advertising performance across the hundreds of federated stations and websites that they operate from a mix of technology platforms built by them, or that they had acquired from multiple legacy parent companies over the years. The result was inconsistent and disparate reporting.
Nobody likes their tools. We’ve heard complaints about CRM platforms, analytics tools, project management tools, billing systems – anything that people have to use on a regular basis.
Snowpark is an exciting feature for Snowflake that greatly broadens what ML engineers can do, and gives data scientists the ability to leverage the tools they already use and love, like Pandas, NumPy, and more, directly accessing data in Snowflake.
When you’re trying to measure your information against competitor data, forecasts, and budgets, accurate benchmarks are crucial for making informed and effective choices.
We ran the NBA Finals through our insights engine to see if it could tell us what we missed.
Turns out it thinks defensive really does win championships.
Careful analysis of usage patterns can help streamers differentiate between “legitimate” household usage and rampant “egregious” password sharing.
Are we getting 2 inches of snow? or 20? The forecast model’s don’t agree on that point, and that disagreement is exactly why we’re such a fan of using an ensemble model learning approach (and a team A vs B approach).
Our insights engine uses machine learning and data analysis to monitor your metrics and alert you when there’s good news or bad news.
The Facebook outage impacted far more than just access to user’s feeds. It also impacted every single advertiser’s acquisition campaigns. Find out what you should do to minimize the impact on your campaigns.
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