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Campaigns are hairy creatures. Producing marketing campaigns that resonate is hard enough. Tracking their performance, especially where many channels are involved, can be just as challenging. How should you approach campaign tracking to enable effective analysis later? To get the answer, we spoke with two marketers who might know the subject better than anyone: Seiya Vogt, Director of Demand Generation, and Blaise Lucey, Director of Product and Content Marketing at Bitly, a link tracking platform. Tune in to hear:      How to create a successful marketing campaign tracking plan (8:50)     What dark social is and how to track performance across it (14:30)     Why successful campaign tracking starts with basic questions and goals instead of technology (24:13) Read more at blog.heapanalytics.com

When you send a document to someone, odds are you aren't sure whether they opened it, let alone how long they spent reading it, or who they may have shared it with. Yet, when it comes to closing a deal, raising money, or recruiting, that data makes all the difference. Russ Heddleston, Co-founder and CEO of DocSend, shares how closing this gap around how people interact with documents and files helps everyone—salespeople, marketers, recruiters, anyone sending content anywhere—hone pitches, reach their goals, and simply communicate better in business. Read more at blog.heapanalytics.com

Ep. 7 is about data quality. When you're trying to track activity across a variety of ever-evolving platforms and devices, where do you start? And how do you make sure it's accurate? June Dershewitz, Head of Data Governance and Analytics at Twitch, gives us insight into how she and the team are tracking, organizing, and guiding meaningful analysis of billions of daily user engagement data points from video game consoles, tv apps, and mobile devices.  In this episode, hear:      How the team approaches data collection across platforms (8:25)      Why the team thinks about data quality in Twitch’s complex environment in tiers, with business-critical data occupying Tier I and peripheral data in Tier II and III (13:00)      What a successful data culture revolves around (communicating how the data is being used to improve the product, make customers happy, and grow the company) and why (15:25) Read more on the blog (blog.heapanalytics.com).

The right tools can make or break analytics at a company—especially a fast-growing one. Ep. 6 is a recording from a special event we held in New York City at Casper HQ, where Scott Breitenother, VP of Analytics at Casper, and Ryan Stuczynski, Growth Lead at theSkimm, discuss:     Which platforms and tools help them build powerful analytics infrastructure     How the two teams think about attribution and other sticky analytics challenges Learn more about how Casper and theSkimm approach analytics at blog.heapanalytics.com.

“Data, in itself, is interesting. At the end of the day, it’s all really about people." Lluvia Rodriguez and Catlyn Origitano work at Sojern, a travel advertising platform. A Sr. Data Insights Analyst with an advanced degree in astrophysics and electrical engineering, and a Content Marketing Lead and Doctor of Philosophy, respectively, the two work together to produce in-depth travel guides that entertain and inform. In this episode, Lluvia and Cat talk about how they analyze massive sets of travel data, from digging into Tableau to constructing narratives, and muse about what happens when what are normally considered two radically different functions—content and data—come together. Get links to their travel insights reports and show notes at data.heapanalytics.com.

What does analytics look like at a SaaS company? How is it different from a consumer company, and what's the best way to ensure that data practices can scale, while maintaining data integrity? Join us in this special episode of The Analyst from a SaaS data panel discussion held recently at Heap, as Heap's CEO and Co-Founder Matin Movassate chats with Bilal Mahmood (Founder, Bolt), Ville Tuulos (Head of Data, AdRoll) and Maurice Mongeon (Data and Analytics Lead, App Annie). Get links from this episode at data.heapanalytics.com

When you need to share data with an audience—like in a fundraising presentation or a project proposal—it's tempting to just toss together a graph or chart, tack on a title, and call it a day. But are you sure your message is really getting through? In Episode 3, Cole Nussbaumer Knaflic, author of Storytelling With Data, blogger, and instructor shares: Why data storytelling matters, for everyone How to filter out noise and trim your data story to focus only on the information that matters Tips for selecting graph/chart types, writing copy for your visualizations, and more Get links and examples from this episode at data.heapanalytics.com.

In this episode of The Analyst, we speak with Bill Farrell, Director of Product at HelloSign, about how to use data—both quantitative and qualitative—in product development, how to prioritize your roadmap, how to build your product team, and more. Get links from this episode at data.heapanalytics.com.

What does it really mean to be a data scientist? Hear from Jessica Kirkpatrick, an astrophysicist-turned-data scientist currently working at Hired, on how data can be used to further an organization's mission internally and beyond.