QuantifyNow

Superior statistics for 10x faster decision-making

3 followers

Superior statistics for 10x faster decision-making

3 followers

QuantifyNow is a free, fully automated Bayesian statistics and experimentation engine for marketing teams that provides rock-solid, actionable learnings from your existing marketing data.

Launch tags:Analytics•Marketing•Growth Hacking

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

Promoted

How do you adjust for small sample sizes? Are there warnings about the limits of bayesian statistics? I'm thinking along the lines of the Black Swan here.

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5yr ago

Admetrics Data Studio for Shopify

Maker

@jimmy_cerone We don't have to adjust for small sample sizes as these are reflected through wide credible intervals, which is the beauty of Bayesian statistics. Also the credible intervals calculated by QuantifyNow reflect the actual state of the data and do not try to predict or forecast future outcomes. Extreme outliers should result in wider credible intervals.

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5yr ago

@jimmy_cerone @markus_repetschnig have you read Black Swan by Nassim Taleb?

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5yr ago

@jimmy_cerone @markus_repetschnig that's kind of where I'm sourcing this question from. He basically says that there are limits to the credible intervals of bayesian statistics which invalidate there effectiveness in certain cases.

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5yr ago

Admetrics Data Studio for Shopify

Maker

@jimmy_cerone I haven't read it. Will do so and get back to you :)

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5yr ago

Software Product Management Stack

Cool, do you automate experiments or the experiments need to be set up? Also, do you also automatically manage the campaigns to maximise a specific metric.

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5yr ago

Admetrics Data Studio for Shopify

Maker

@nicolasegosum Experiments need to be set up manually. Through out APIs it‘s possible to auto-optimse campaigns based on the results.

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5yr ago

Admetrics Data Studio for Shopify

Maker

Hi ProductHunt! ✌ QuantifyNow is a freemium version of our experimentation and stats engine Quantify. We believe that experimentation, testing, and learning should be a core capability of any organization. Unfortunately, it's very rare (at least in the marketing space) that teams make truly data-driven decisions. In reality, most people rely on average numbers for decision-making. And the industry standard, significance testing, is flawed (slow, limited, abstract, expensive). With Quantify marketing teams can overcome these issues, switch to an always-on experimentation process and continuously learn from ever running marketing experiments. The main use-case for Quantify is testing and optimising any aspect of marketing campaigns, but there's many more (we actually learn about new ones every day). A couple of examples: the exploration of new channels or trends, the validation of product-market fit, ideas, designs, or pricing strategies. To show off the transformative effect of our approach on a broader scale, we decided to build QuantifyNow - a feature-limited, but completely free version of Quantify. Simply connect your media sources, like Twitter, Facebook or Google Ads (more sources to be added soon!) and start to learn from your data immediately (no registration or credit card required). I'd also like to add some background about our company: We are small team of entrepeneurs, data scientists and engineers, headquartered in Frankfurt/Germany, but working distributed across Europe. We'd love to hear your feedback and answer your questions.

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5yr ago