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A Growth Hacking Case: Netflix & Facebook

The Product Coalition

The onset of product growth hacking The concept of growth hacking flourished primarily post dot-com bubble. Priority : [High Value, High effort] Measure: conversion rate through Flexi, Conversion rate, LTV, CAC, viewership time, Retention, Engagement rate through Flexi Case 2: How would you increase the number of comments in Facebook groups?

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G2’s CMO Amanda Malko on the latest trends in software buying

Intercom, Inc.

The process of purchasing software is increasingly complex – the choices for products and services are endless, and customers have a harder time parsing which companies to trust and which product will better cater to their needs. Customers are looking more and more to their peers before considering a purchase.

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Best Online Engagement Tools For Interacting With Your Customers Across Their Journey

Userpilot

Because it helps you understand how customers are interacting with your brand across all departments and stages of the user journey. Engagement tools are software applications that help to facilitate and encourage two-way interactions between your SaaS and its customers. Why do you track online engagement for your SaaS app?

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What the SaaS Collapse Means for Every Leader

Gainsight

I missed the 1929 Wall Street crash, but I’ve lived through many of the big ones since then–the dot-com crash, 9/11, the GFC (Global Financial Crisis), and the more recent Covid-19 crash. Varying impact on sales and customer retention from issues in your client base or industry. Pooled approaches to customer success.

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Negative User Feedback? Handle it like Bill Gates!

Userpilot

A spate of bad reviews can be a serious obstacle to growth, retention and customer acquisition. But for SaaS companies – when it’s handled correctly – negative feedback can also be one of the fastest routes to improving your product, customer service and even marketing. Customer support waiting times.

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The state of growth hacking (Guest post)

Andrew Chen

During the dot-com boom , there was a bunch of traditional marketers who believed they could use normal consumer marketing techniques to grow websites,” Andrew remembers. “It It was the peak of dot coms going mainstream. There were many contributing factors to the dot-com bubble and its burst. Where it came from. Tactics decay.

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The new dawn of Machine Learning

Intercom, Inc.

In CX, neural networks will likely be used with more traditional machine learning methods to choose actions that provide the best interaction possible with the customer. While it’s likely that more realistic claims close fewer accounts, it pays off in customer retention. It’s almost like a school for customer support.