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The ultimate marketing technology stack for 2019

Intercom, Inc.

The “shiny penny” approach (focus all your attention on the hottest tools in the market) or “head in the sand” approach (fall victim to analysis paralysis and avoid choosing any tools) are no longer viable. But here’s the thing: a tool is not a strategy. The anatomy of a marketing tech stack [with recommended tools].

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The PM’s Toolbox: Product Management Tools and the Problems they Solve

UserVoice

Matching these solutions to the assorted challenges product managers face can be a little tricky, so we’ve done some digging to compile a handy list of product management tools. Data Analysis Tools for Product Management. Products can’t move forward without proper data visualization and analysis.

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Shipping fast and safe: Building a culture of low-risk learning

Intercom, Inc.

“Most of the problems awaiting you in production are so-called ‘unknown unknowns’ – things you can’t predict or plan for”. After all, most of the problems awaiting you in production are so-called “unknown unknowns” – things you can’t predict or plan for. We all deal with business-critical legacy systems from time to time.

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Free vs Paid Analytics Platforms: How to Choose One (+ Best Tools in Each Category)

Userpilot

Analytics tools offer a competitive advantage for companies investing in prolonged product growth. However, not all companies can invest precious resources in an analytics tool. In reality, some companies are better served using free vs paid analytics platforms. There are different types of analytics tools.

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Tools of the Trade: A Look at Pendo’s Discovery Tech Stack

Product Talk

Similarly, the opportunity solution tree can be an incredibly powerful tool for keeping track of your desired outcome , the opportunities you learn about during discovery, the solutions you’re considering for each opportunity, and the experiments you’ll run to assess your ideas. It’s about finding the tech stack that works for your team.

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How to Build Your Dream Analytics Stack

Indicative

Every company, of every size — even organizations of just one person — are navigating a data avalanche problem. Every team — from product to marketing, and IT to engineering — is generating data. A strong analytics stack is foundational to being able to make sense of it all. Data Tracking and Collection. Event Data.

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AI in Advertising: Using AI to Predict Ad Performance

The Product Coalition

This is where predicting ad creative performance prior to testing comes in. By leveraging historical data and machine learning algorithms, marketers can make accurate predictions about how new ad creatives are likely to perform, without having to go through the process of testing each variation. This is no easy task.