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Posts by category
- Category: Company
- PM Best Practices: How to interview your users (and why it’s important!)
- Our $55 Million Series C
- How I got my job as a Product Manager at Heap
- How Heap Looker Blocks Can Help You Build Interactive Reports and Dashboards
- Heap—It’s That Simple
- Streamline Your Analytics Practice with Heap and Snowflake
- Heap Earns Top Spot in Glassdoor 2019 Best Places to Work Awards
- Why Heap is a 2019 Best Place to Work
- Increase your Return on Data with Snowflake + Heap
- Top Takeaways from JOIN 2018
- Heap and Stitch Partner to Put Behavioral Data in Place for BI
- Announcing the Heap Partner Network
- 4 Takeaways from Synapse 2018
- 3 Things We’re Looking Forward to at Opticon 2018
- Heap’s Commitment to GDPR and Data Privacy
- Attribution, Meet Behavior!
- Introducing: Heap’s eCommerce Bundle
- Introducing Sources: Insights on the Entire Customer Journey
- Welcoming Our New CMO and CRO
- Our $27 Million Series B
- Announcing Heaps of New Analysis Features
- Our $11 Million Series A
- Snapshots: Track Rich Data Without Writing Code
- The Event Visualizer
- Defining Events with Hierarchical CSS Selectors
- Heap for iOS
- What’s Heappening
- Heap Heap Hooray
- A Heap of New Features
- Category: Data Stories
- How to Build a Data Democratization and Data Governance Strategy
- A Year in Review: The Most Popular Platforms and Devices for eCommerce Sales
- How to Own Your Customer Data and Upgrade Your Data Tech Stack
- The Customer Data Maturity Curve and Why It Matters
- How Financial Services Companies Can Boost Conversion with Analytics
- 3 Datasets Worth Leveraging for your Experimentation + New Webinar
- Mary Meeker: 6 Key Trends for E-Commerce in 2018
- Data Virtualization is Reshaping Analytics
- 3 Proven Experiments To Boost Your E-Commerce Sales
- NPS Is Broken. Here’s How To Fix It
- 4 Key Facts You Should Know Before Allocating Ad Spend
- Adopting a New Category of Analytics: In discussion with Shawn Hansen, CMO at Heap
- Democratizing Data – Building A Data Driven Culture
- What is a “good” conversion rate for your signup flow?
- Campaign Tracking, Inside and Out with Bitly
- Perfecting Pitches Using Document Data with DocSend
- Making Data Quality and Culture Work at Scale with Twitch
- Two Tales of Data Teams and Tools
- Creating Insightful Reports: Where Travel, Data, and Content Collide
- How the Most Innovative SaaS Companies Use Data
- Seeing and Selling the Stories in Data
- Using Data to Design Powerful Products
- The Wide World of Data Science
- “One Mass Shooting Per Day” Tells An Important Story That’s Still Wrong
- The Case for Uber’s “Deceptive” Data
- The Single Most Useful Analytics Strategy for Early-Stage Startups
- Garbage In, Garbage Out: How Anomalies Can Wreck Your Data
- What Unsustainable Growth Looks Like: Herbalife, Groupon, and More
- Anscombe’s Quartet, and Why Summary Statistics Don’t Tell the Whole Story
- How to Lie with Data Visualization
- Don’t Stop Your A/B Tests Partway Through
- Your Average Revenue Per Customer is Meaningless
- How Data Can Grow Your Business
- Category: Engineering
- How we failed, then succeeded, at migrating to TypeScript
- Redesigning Heap Without a Feature Branch
- Building a Live Data Visualization in 4 Days Using Redis Pub/Sub
- Finding a Better Way to Interview Engineers
- Running a database on EC2? Your clock could be slowing you down.
- How We Found a Missing Scala Class
- Virtual Events: Making Data-Driven Decisions a Reality
- Data Virtualization is Reshaping Analytics
- Heap Infrastructure and Data Virtualization: Dan Robinson on the Data Engineering Podcast
- Making Our APIs Solid, By Breaking Them In Production
- Testing Database Changes the Right Way
- How We Write Front-end Code
- Enabling New Projects At The Recurse Center
- How To Structure Permissions In A SaaS App
- Decrypting PgBouncer’s Diagnostic Information
- Analyzing Millions of Postgres Query Plans
- Migrating To React + MobX While Shipping New Features
- Terraform Gotchas And How We Work Around Them
- How Basic Performance Analysis Saved Us Millions
- Redshift Pitfalls And How To Avoid Them
- Running 10 Million PostgreSQL Indexes In Production (And Counting)
- When To Avoid JSONB In A PostgreSQL Schema
- Goodbye CoffeeScript, Hello TypeScript
- Speeding Up PostgreSQL With Partial Indexes
- PostgreSQL’s Powerful New Join Type: LATERAL
- Building Automated Analytics Logging for iOS Apps
- Creating PostgreSQL Arrays Without A Quadratic Blowup
- Using PostgreSQL Arrays The Right Way
- How We Estimated Our AWS Costs Before Shipping Any Code
- Getting the Details Right in an Interactive Line Graph
- Category: Insights
- How we failed, then succeeded, at migrating to TypeScript
- What is Product Quality? A Practical Definition
- PM Best Practices: How to interview your users (and why it’s important!)
- PM Best Practices: Creating a culture of experimentation (even at a B2B company!)
- Heap and Appcues Partner to Empower Product Teams to Boost Product Engagement and Retention
- Improving our Mobile Event Visualizers with Product Data
- Heap Partners with Attribution to Help Companies Acquire More Customers That are Worth Retaining
- Why Typito started using Heap from Day One
- Why You Should Start Using Behavioral Segmentation
- Why We Built Paths
- How to Build Detailed Buyer Personas
- How We Redesigned Heap’s App in Three Months
- How to Uplevel Your Business to Be More Customer-Centric
- How to Pick the Right Attribution Model for Your Business
- Uncovering the ROI of Customer Behavior Analytics
- From Air Ball to Slam Dunk: Why Traditional Analytics Doesn’t Build a Solid Foundation for Data Practices
- A Beginner’s Guide to User Flows
- 5 Out-of-the-Box Digital Experiments to Help Drive Revenue
- What to Look for in a Business Intelligence Tool
- Why Capturing Everything Doesn’t Mean Complicating Everything
- How to Find and Optimize Your SaaS Product’s Most Important User Retention Flows
- 4 Questions to Ask Yourself Before Choosing a Data Warehouse
- New Year, Better Data Stack. What to Look Out for in 2019.
- Data Podcasts Worth Following in 2019
- Tips and Tricks: How to Get the Most Out of Heap Snapshots
- A Year in Review: The Most Popular Platforms and Devices for eCommerce Sales
- Why Google Analytics Is Not Enough
- How to Make Data-Driven Decisions Fast
- How to Own Your Customer Data and Upgrade Your Data Tech Stack
- 5 e-Commerce A/B Test Ideas to Try
- The Customer Data Maturity Curve and Why It Matters
- Design is for Everyone: 10 Principles Anyone Can Use
- 4 Takeaways from Synapse 2018
- How Financial Services Companies Can Boost Conversion with Analytics
- What the Self-Service BI Trend Means for Sales and Marketing Pros
- 3 Things We’re Looking Forward to at Opticon 2018
- Heap Q&A with Jim Huffman, Co-founder and CEO of GrowthHit
- How to Measure the Effectiveness of Your Data Team
- 5 Stupid Things People Do with Self-Service Analytics — And How to Prevent Them
- 6 Steps to GDPR Compliance
- Manual Tagging: The Stick in your Analytics Bicycle Spokes
- Tagging vs. Autocapture: The Difference Between Google Tag Manager and Heap
- 43 Conversion Rate Optimization Experts You Should Know in 2018
- How Much Should I Discount For Prepaid SaaS Contracts?
- Category: Product
- What is Product Quality? A Practical Definition
- PM Best Practices: How to interview your users (and why it’s important!)
- PM Best Practices: Creating a culture of experimentation (even at a B2B company!)
- PM Best Practices: Are you learning from every launch?
- How Autocapture Actually Works
- The 4 Flavors of Untrustworthy Data
- Redesigning Heap Without a Feature Branch
- How We Redesigned Heap’s App in Three Months
- Uncovering the ROI of Customer Behavior Analytics
- Streamline Your Analytics Practice with Heap and Snowflake
- Why Capturing Everything Doesn’t Mean Complicating Everything
- Tips and Tricks: How to Get the Most Out of Heap Snapshots
- Increase your Return on Data with Snowflake + Heap
- Customer Data as a Poem
- Virtual Events: Making Data-Driven Decisions a Reality
- How To Get 120% Retention Rates: Account Management at Heap
- Saving Your At-Risk Customers with a Product Education Journey
- Using Data to Drive Prospect Engagement and Sales Development
- Building Target Personas with SQL, Salesforce, and Clearbit
- Going Beyond Web Analytics by Bringing In Salesforce Data (Automatically)
- Heap Using Heap: Planning Our Product Roadmap with Data
- Three Powerful Ways to Use Data to Close More Deals in SaaS Sales
- Take Heap SQL to the Next Level with Mode
- Heap and Looker Partner to Make Data Collection Painless
- Using Data to Simplify Your Product
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