Data Retention Quotes

Two things happen when your objectives are too broad—you don’t achieve the right results and you lose a lot of your resources. You want to avoid both of those.

If your objectives are too broad, they can dilute your project.

Discovering a cure for a disease is one thing, but making that cure available to everyone so it can actually be used to eradicate the problem is another thing.

If the research is done for brand awareness and the results don't show any rosy picture, then maybe you want to share those results with your marketing head who can include more brand awareness strategies in her marketing plan.

Peter Thiel and Ken Howery at Founders Fund, however, reached out to their friends behind the scenes at Friendster. They dug into why users were leaving the site. Like other users, Thiel and Howery knew that Friendster crashed often. They also knew that the team behind Friendster had received, and ignored, crucial advice on how to scale their site—how to transform a system built for a few thousand users into one that could support millions of users. They asked for and received a copy of Friendster’s data on user retention. They were stunned by how long users stayed with the site, despite the irritating crashes. They concluded that users weren’t leaving because social networks were weak business models, like clothing brands. They were leaving because of a software glitch. It was a False Fail. Thiel wrote Zuckerberg a check for $500,000. Eight years later, he sold most of his stake in Facebook for roughly a billion dollars.

In 2000, for instance, two statisticians were hired by the YMCA—one of the nation’s largest nonprofit organizations—to use the powers of data-driven fortune-telling to make the world a healthier place. The YMCA has more than 2,600 branches in the United States, most of them gyms and community centers. About a decade ago, the organization’s leaders began worrying about how to stay competitive. They asked a social scientist and a mathematician—Bill Lazarus and Dean Abbott—for help. The two men gathered data from more than 150,000 YMCA member satisfaction surveys that had been collected over the years and started looking for patterns. At that point, the accepted wisdom among YMCA executives was that people wanted fancy exercise equipment and sparkling, modern facilities. The YMCA had spent millions of dollars building weight rooms and yoga studios. When the surveys were analyzed, however, it turned out that while a facility’s attractiveness and the availability of workout machines might have caused people to join in the first place, what got them to stay was something else. Retention, the data said, was driven by emotional factors, such as whether employees knew members’ names or said hello when they walked in. People, it turns out, often go to the gym looking for a human connection, not a treadmill. If a member made a friend at the YMCA, they were much more likely to show up for workout sessions. In other words, people who join the YMCA have certain social habits. If the YMCA satisfied them, members were happy. So if the YMCA wanted to encourage people to exercise, it needed to take advantage of patterns that already existed, and teach employees to remember visitors’ names.

Legal opposition and social protest have surfaced in relation to the digitalization of books,24 the collection of personal information through Street View’s Wi-Fi and camera capabilities,25 the capture of voice communications,26 the bypassing of privacy settings,27 the manipulation of search results,28 the extensive retention of search data,29 the tracking of smartphone location data,30 wearable technologies and facial-recognition capabilities,31 the secret collection of student data for commercial purposes,32 and the consolidation of user profiles across all Google’s services and devices,33 just to name several instances. Expect to see drones, body sensors, neurotransmitters, “digital assistants,” and other sensored devices on this list in the years to come.

AI-powered analytics can provide predictive insights about employee turnover, helping HR to develop retention strategies proactively. Similarly, AI can support performance management by analyzing employee performance data and providing recommendations for improvement.

Over the years, his employees had suggested alternative ways of structuring data retention, to no avail. “At various times in Facebook’s history there were paths we could have taken, decisions we could have made, which would have limited, or even cut back on, the user data we were collecting,” said one longtime employee, who joined Facebook in 2008 and worked across various teams within the company. “But that was antithetical to Mark’s DNA. Even before we took those options to him, we knew it wasn’t a path he would choose.

Here’s the trick to significantly improving your SaaS email marketing skills—you have to become a student of it. This means you should: Start collecting great email copy, CTAs, and designs. Understand the objective behind each and every email that businesses send. Try to understand the rationale behind copy, link, and design decisions. There are great websites like Really Good Emails11, Good Email Copy12, and Good Sales Emails.com13 that you can use for your research. These sites categorize email copy and designs by types. As well as this, you should sign up to receive emails from some of the leading SaaS brands. Those include, among others: Drift MailChimp Pipedrive Shopify SurveyMonkey Trello Wistia Zapier You should also sign up to competing products and mailing lists from companies in your sector. I personally signed up to thousands of products and newsletters. It’s great for benchmarking and research. At the time of writing, I’ve already passively collected more than 60,000 emails. Obviously, don’t sign up to your competitors’ products with a business email address! I have a special email address I use for this. This account allows me to get data, understand what other organizations are doing, and find good copy ideas. For example, here’s what a search for ‘Typeform’ gives me: Figure 18.1 – Inbox Inspiration It’s not uncommon for me to sign up several times to the same product or newsletter. This allows me to see what they have learned and to track the evolution of their email marketing program. At LANDR, we created a shared document to keep track of subject lines, offers, and copy we wanted to test. Our copywriter was even going through his junk mail folder to find ideas and inspiration. There are tests we ran that were inspired by copy found in his spam folder. Some of them turned out to be really successful too—so keep your eyes open for inspiration. You can use Evernote, Paper, or any other platform to collaborate on idea generation. Alternatively, you can subscribe to paid services like Mailcharts14 or Mailody15. These services will help you track and understand your competitors’ email programs. Build processes to find and access copy and design ideas. It will help you create better emails, faster. In the next chapter we’ll get started creating our first email sequences.

Over the years, Facebook has executed an effective playbook that does exactly this, at scale. Take Instagram as an example—in the early days, the core product tapped into Facebook’s network by making it easy to share photos from one product to the other. This creates a viral loop that drives new users, but engagement, too, when likes and comments appear on both services. Being able to sign up to Instagram using your Facebook account also increases conversion rate, which creates a frictionless experience while simultaneously setting up integrations later in the experience. A direct approach to tying together the networks relies on using the very established social graph of Facebook to create more engagement. Bangaly Kaba, formerly head of growth at Instagram, describes how Instagram built off the network of its larger parent: Tapping into Facebook’s social graph became very powerful when we realized that following your real friends and having an audience of real friends was the most important factor for long-term retention. Facebook has a very rich social graph with not only address books but also years of friend interaction data. Using that info supercharged our ability to recommend the most relevant, real-life friends within the Instagram app in a way we couldn’t before, which boosted retention in a big way. The previous theory had been that getting users to follow celebrities and influencers was the most impactful action, but this was much better—the influencers rarely followed back and engaged with a new user’s content. Your friends would do that, bringing you back to the app, and we wouldn’t have been able to create this feature without Facebook’s network. Rather than using Facebook only as a source of new users, Instagram was able to use its larger parent to build stronger, denser networks. This is the foundation for stronger network effects. Instagram is a great example of bundling done well, and why a networked product that launches another networked product is at a huge advantage. The goal is to compete not just on features or product, but to always be the “big guy” in a competitive situation—to bring your bigger network as a competitive weapon, which in turn unlocks benefits for acquisition, engagement, and monetization. Going back to Microsoft, part of their competitive magic came when they could bring their entire ecosystem—developers, customers, PC makers, and others—to compete at multiple levels, not just on building more features. And the most important part of this ecosystem was the developers.

Creating Key User Segments The beauty with segmentation is that it can be used for more than email targeting. You can use your segmentation for tracking and reporting, to recruit candidates for interviews, and for quality assurance. If your segmentation doesn’t get you the right users, you want to find out as quickly as possible. Before starting to write emails, you’ll want to create key user segments. Those could be: people who haven’t signed up for your product (if the required data is available); people who signed up today; people who signed up in the last seven days; people who signed up in the last seven days, but didn’t engage, or didn’t activate; people who signed up in the last 30, 60 or 90 days and activated; inactive users; users whose trial is about to end or just ended and that you would eventually like to convert; paid subscribers in their first month; paid subscribers retained for two months or more; subscribers on annual plans; users who you think would be willing to refer your product to others; subscribers who cancelled; subscribers who cancelled more than once; or signups per specific acquisition channel. Don’t go too far, but do try to test real segments with real data. Let them run a few weeks. Do users flow through the way you’d expect them to? Go through random profiles in each of these segments and compare with the data from your database. Are those the users you’d expect to find in each of these segments? Any issues? You want to uncover issues with the implementation or your segmentation as early as possible. It’s easier if you do this—and much less costly in terms of mistakes—before you start sending emails than after. Make sure you can track users across different segments and that your segments truly are mutually exclusive when they need to be. Identify issues, adjust, and refine. This step will save your team a lot of headaches later on. As you test your segments, make them available to the rest of your team. Your colleagues can also help point out issues. At this point, if there aren’t any major issues, your setup is complete. Let’s get started sending some emails!

Prioritizing Your Email Roadmap Chances are you’ll need a Hail Mary. And a Net Promoter Score survey email. And a newsletter. And… And… And… If you are getting started with your email program, the list of emails you’ll need will probably be very long. Do you need to do everything at once? Definitely not. In fact, it’s best to start your program by aligning with business priorities and getting results before thinking about expanding. What areas are most troublesome in your business right now? What metric are you expected to move with email? Is it: Engagement? Retention? Conversion? Revenue? Signups? If none of those stick out above the rest, start from the top. Welcome and onboarding emails set the tone for product usage. Better onboarding and value communication lead to reductions in churn and disengagement down the road. Welcome and onboarding emails are also sent to most, if not all, of your users, thus they have a greater potential to influence user behaviors. At Highlights, for example, we set up a welcome email, five onboarding emails, and an upsell email the week before we launched the product. The goal was to maximize the number of people in a position to convert. It also allowed us to start getting some data to optimize performance. In general, you’ll want to prioritize emails that: send a lot (large volume of sends); send consistently (every day, or every week at least); and have the potential to have a big impact on a key business goal. In the beginning especially, you want to make sure that you have a clear goal or metric to monitor with the aim of evaluating performance with user data. Start implementing a first sequence, test, gather data, and move on to the next sequence.

By analogy Marshall’s Wiley C. Bunn, Director of Reliability and Quality Assurance, describes the engineering work and data that constitute the Rationale for Retention, necessary for all C 1 items:

The YMCA had spent millions of dollars building weight rooms and yoga studios. When the surveys were analyzed, however, it turned out that while a facility’s attractiveness and the availability of workout machines might have caused people to join in the first place, what got them to stay was something else. Retention, the data said, was driven by emotional factors, such as whether employees knew members’ names or said hello when they walked in. People, it turns out, often go to the gym looking for a human connection, not a treadmill. If a member made a friend at the YMCA, they were much more likely to show up for workout sessions. In other words, people who join the YMCA have certain social habits. If the YMCA satisfied them, members were happy. So if the YMCA wanted to encourage people to exercise, it needed to take advantage of patterns that already existed, and teach employees to remember visitors’ names. It’s a variation of the lesson learned by Target and radio DJs: to sell a new habit—in this case exercise—wrap it in something that people already know and like, such as the instinct to go places where it’s easy to make friends. “We’re cracking the code on how to keep people at the gym,” Lazarus told me. “People want to visit places that satisfy their social needs. Getting people to exercise in groups makes it more likely they’ll stick with a workout. You can change the health of the nation this way.

We recommend evaluating business systems and your approach to data security and how data is managed across your organisation.  We consider data access and IT policy with regards to data storage devices fixed and external.  We also give consideration to data backups and data retention within your organisation, and any external 3rd party services that store data from your organisation.  In detailing all these vital topics, we relate to the individual Articles and Recitals of the GDPR Regulation.

The fundamental KPI for stickiness is customer retention. Churn rates and usage frequency are other important metrics to track. Long-term stickiness often comes from the value users create for themselves as they use the service.

CRM (Customer Relationship Management) is a marketing strategy that focuses on managing interactions and relationships with customers. CRM enables businesses to improve customer satisfaction, loyalty, and retention by providing personalized experiences that meet their needs. CRM is an essential aspect of modern marketing as it enables businesses to understand their customers' behavior, preferences, and needs and develop targeted marketing campaigns that resonate with them. In Go High Level, CRM (Customer Relationship Management) is a core component of the platform. The CRM functionality in Go High Level enables businesses to manage their customer interactions and relationships more effectively, improving customer satisfaction, loyalty, and retention. The CRM functionality in Go High Level includes a range of features and tools designed to help businesses automate and streamline their customer-facing processes, as well as provide them with insights into their customers' behavior, preferences, and needs. In essence, CRM is a set of practices, technologies, and strategies that businesses use to manage their customer interactions and relationships. The goal of CRM is to build stronger, more meaningful relationships with customers by providing them with personalized experiences and tailored solutions. CRM in marketing can be divided into three main categories: operational CRM, analytical CRM, and collaborative CRM. Operational CRM focuses on automating and streamlining customer-facing processes, such as sales, marketing, and customer service. This type of CRM is designed to improve efficiency and productivity by automating repetitive tasks and providing a centralized database of customer information. Operational CRM includes features such as sales pipeline management, lead nurturing, and customer service management. Analytical CRM focuses on analyzing customer data to gain insights into their behavior, preferences, and needs. This type of CRM enables businesses to make data-driven decisions by providing them with a better understanding of their customers' needs and preferences. Analytical CRM includes features such as customer segmentation, data mining, and predictive analytics. Collaborative CRM focuses on enabling businesses to collaborate and share customer information across different departments and functions. This type of CRM helps to break down silos within organizations and improve communication and collaboration between different teams. Collaborative CRM includes features such as customer feedback management, social media monitoring, and knowledge management. CRM is important for marketing because it enables businesses to build stronger, more meaningful relationships with customers. By understanding their customers' behavior, preferences, and needs, businesses can develop targeted marketing campaigns that resonate with them. This results in higher customer satisfaction, loyalty, and retention. CRM can also help businesses to improve their sales and marketing processes by providing them with better visibility into their sales pipeline and enabling them to track and analyze their marketing campaigns' effectiveness. This enables businesses to make data-driven decisions to improve their sales and marketing strategies, resulting in increased revenue and growth. Another benefit of CRM in marketing is that it enables businesses to personalize their marketing campaigns. Personalization is essential in modern marketing as it enables businesses to tailor their marketing messages and solutions to meet their customers' specific needs and preferences. This results in higher engagement and conversion rates, as customers are more likely to respond to marketing messages that resonate with them. Lead Generation: Go High Level provides businesses with a range of tools to generate leads, including customizable landing pages, web forms, and social media integrations.

It is the ultimate expressive medium, Lick later wrote—“the moldable, retentive, yet dynamic medium—the medium within which one can create and preserve the most complex and subtle patterns and through which [one] can make those patterns operate (as programs) upon other patterns (data).

Retention is the most critical metric in understanding a product, but most of the time, the data is not pretty. When you look at the engagement data for the entire industry, the data has told the same story over and over—users don’t stick to their apps. One study50 published on tech blog TechCrunch told the story in its headline: “Nearly 1 in 4 people abandon mobile apps after only one use.” The authors looked at data from 37,000 users to show that a large percentage of users would quit an app after just a single try. Unfortunately, I’ve found similar results. In collaboration with Ankit Jain, a former product manager at Google Play, I published an essay titled “Losing 80% of mobile users is normal,” which illustrated the rapid decay that happens right after a new user signs up to a product. Of the users who install an app, 70 percent of them aren’t active the next day, and by the first three months, 96 percent of users are no longer active. The shape of the retention curve matters a lot—ideally, the curve levels out over time, indicating that some users consistently come back. But this is not true for the average app—its curve consistently falls over time, eventually whittling itself to zero. The brutal conclusion is that the usual result for most apps is failure—but there are, of course, exceptions. This is why out of the 5+ million apps on iOS and Android, just a few hundred have large audiences, and only a few dozen dominate all of people’s time and attention. Data from analytics company comScore, revealed that people spend 80 percent with just three apps51—and I’m sure you can guess which ones.

At a large enough business, an IT pro might need to establish permissions, implement special configurations, or enter data to make the experience work for that business. The organization that made the software can provide UX content for this setup crew, and different UX content for the people who will use the experience day to

At a large enough business, an IT pro might need to establish permissions, implement special configurations, or enter data to make the experience work for that business. The organization that made the software can provide UX content for this setup crew, and different UX content for the people who will use the experience day to day.

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Further, the Office learned that some of the individuals we interviewed or whose conduct we investigated—including some associated with the Trump Campaign—deleted relevant communications or communicated during the relevant period using applications that feature encryption or that do not provide for long-term retention of data or communications records .

the Office learned that some of the individuals we interviewed or whose conduct we investigated—including some associated with the Trump Campaign—deleted relevant communications or communicated during the relevant period using applications that feature encryption or that do not provide for long-term retention of data or communications records. In such cases, the Office was not able to corroborate witness statements through comparison to contemporaneous communications or fully question witnesses about statements that appeared inconsistent with other known facts. Accordingly, while this report embodies factual and legal determinations that the Office believes to be accurate and complete to the greatest extent possible, given these identified gaps, the Office cannot rule out the possibility that the unavailable information would shed additional light on (or cast in a new light) the events described in the report.

Further, the Office learned that some of the individuals we interviewed or whose conduct we investigated—including some associated with the Trump Campaign—deleted relevant communications or communicated during the relevant period using applications that feature encryption or that do not provide for long-term retention of data or communications records.

Akcelita LLC is a technology solutions provider based in San Juan, Puerto Rico. We focus on digitizing the customer experience to aid management in making data driven decisions. Akcelita develops solutions to capture the customer journey and close the loop with their input, aiding in customer retention & an increase in revenues. damefeedback.com

Here are a few examples of different levels of risks, ordered from high to low: If you don’t do this, competitors with AI can make you obsolete. If AI poses a major existential threat to your business, incorporating AI must have the highest priority. In the 2023 Gartner study, 7% cited business continuity as their reason for embracing AI. This is more common for businesses involving document processing and information aggregation, such as financial analysis, insurance, and data processing. This is also common for creative work such as advertising, web design, and image production. You can refer to the 2023 OpenAI study, “GPTs are GPTs” (Eloundou et al., 2023), to see how industries rank in their exposure to AI. If you don’t do this, you’ll miss opportunities to boost profits and productivity. Most companies embrace AI for the opportunities it brings. AI can help in most, if not all, business operations. AI can make user acquisition cheaper by crafting more effective copywrites, product descriptions, and promotional visual content. AI can increase user retention by improving customer support and customizing user experience. AI can also help with sales lead generation, internal communication, market research, and competitor tracking. You’re unsure where AI will fit into your business yet, but you don’t want to be left behind. While a company shouldn’t chase every hype train, many have failed by waiting too long to take the leap (cue Kodak, Blockbuster, and BlackBerry). Investing resources into understanding how a new, transformational technology can impact your business isn’t a bad idea if you can afford it. At bigger companies, this can be part of the R&D department.

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