Startup Metrics 101: a Product & Marketing Workshop

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This presentation demonstrates a simple, actionable 5-step model for measuring startup metrics. The 5 steps are: Acquisition, Activation, Retention, Referral, & Revenue (AARRR!). The presentation also explains how to use the model to make better product & marketing decisions for your startup. Created by Dave McClure & Hiten Shah, presented at Web 2.0 Expo SF on Tue 4/22/08.

Technology Lifestyle

Startup Metrics 101
Web 2.0 Expo SF - 04/22/08

Dave McClure, Master of 500 Hats
http://500hats.typepad.com/
http://www.500hats.com/
http://slideshare.net/dmc500hats/

Hiten Shah, CrazyEgg / ACS / KISSmetrics
http://crazyegg.com
http://acsseo.com
http://KISSmetrics.com

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

Startup Metrics 101: a Product & Marketing Workshop

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

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Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

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ICT role in 21st century education and its challenges

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AWS Community Day CPH - Three problems of Terraform

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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Introduction to Multilingual Retrieval Augmented Generation (RAG)

Introduction to Multilingual Retrieval Augmented Generation (RAG)

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FWD Group - Insurer Innovation Award 2024

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Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

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DBX First Quarter 2024 Investor Presentation

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Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

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Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

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Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

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