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Start Up Blog
APRIL 11, 2019
Centralised energy production will go the way of centralised news and media – and mostly be replaced by user generated content (but this time it’ll be energy). They’ll leverage their geographic monopolies and localised products, sell to global market places and compete effectively with cities.
VC Cafe
JUNE 18, 2012
The UK is Israel’s second largest export market following the US, but Israeli startups often ‘forget Europe’ when it comes to Internationalizing their product. We use a resource you already have – people who love your brand, enjoy your service or product, or support your cause – to spread the word. How do we do this?
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Duct Tape Marketing
OCTOBER 15, 2013
My goal for this post is to provide you with some action items to check off your list this week – as in right now! You can grab the code for +1 button here and Facebook button here. I could go into lots of detail about how your might get started in this arena, but my best advice is to use software called Long Tail Pro.
datacommunitydc.org
SEPTEMBER 24, 2013
A true recommender system involves some fairly hefty data science — it’s not something you can build by simply installing a plugin without writing code. A recommendation engine is a feature (not a product) that filters items by predicting how a user might rate them.
ConversionXL
FEBRUARY 16, 2016
Semantic priming – when the meaning created influences later thoughts. Semantic and conceptual priming are similar and the terms are sometimes used interchangeably. Non-associative semantic priming – related concepts but one is less likely to trigger thoughts of the other (e.g. Priming for Expected Experience.
ConversionXL
OCTOBER 14, 2015
Valence codes emotional events as positive or negative. However, another study found that arousing items are more likely to be processed under conditions of limited attention than neutral items. Pretty memorable: Semantic elaboration is to think about the items’ meanings and their relations to other items.
ConversionXL
APRIL 12, 2017
Analytic: A measure software can track. Typically happens at the end of the product lifecycle. E.g. Someone is very interested in a particular product. Inject code to create popup offers. Insert line of code. Review – Trust Your Users (Any marginal change you make, you don’t know if it’s good or bad.).
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