Como você testa e itera sua experiência de usuário de retenção com base no comportamento e nas preferências do usuário? (2024)

We Want to Keep 'em Coming Back for More 🎉Step 1: Lets Set Our Retention Objectives🎯Metrics Mania: Decide what you're tracking. Frequency of usage, session lengths, referrals, or LTV🤔Persona: Develop customer personas to understand their whims and woes. 🎭Step 2: Data: 📊Look at your existing retention rates to know what you're up against. Google Analytics is like the Swiss Army knife for your metrics. 🛠️Step 3: A/B Splits 🔄Split Personalities: A/B test different UX strategies. You'd be surprised how a button's color could be a game-changer.Step 4: Analytical 🤓Feedback Fiesta: User reviews are your best frenemies. Listen to them. 🎧Step 5: Action Time! ⚡Implement the strategies that pass the test. 🚦

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Customer retention is critical for business success. Define your retention goals by identifying metrics that matter to your business, such as increasing frequency of usage, duration of engagement, referrals, or lifetime value of customers. Measure these metrics accurately using analytics tools and define target segments and personas based on needs and motivations. Test and iterate based on user behavior and preferences to improve your retention UX and create a better user experience.

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I use this framework for collecting and analyzing feedbacks: "Tell me how you really feel" 🗨️The Quick Guide 🚀Pick Tools: SurveyMonkey for quick bites; Hotjar for deep dives. 🛠️Craft Questions: Mix open-ended with multiple-choice for flavor. 📝Analyze & Act 📊Compile Data: Use spreadsheets or analytics tools. 👀Spot Patterns: Note 5-star features and 1-star flops. 🌟Action Plan: Prioritize and implement. Repeat. 🔄In essence, gathering feedback like blending ingredients, taste, adjust, and then serve.

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One of the key ways I measure my UX & User Retention is by surveying my clients at the end of each week I’m on project. I proved them a detailed review of what was discussed, created and implemented for the week. This allows me to course correct if areas pop up that need to be addressed. Another is putting my clients on an Accountability Partnership program after any engagement so I can continue the connection as well as gauge where they are in relation to their personal & professional goals.

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Tracking user behaviour also provides valuable insights on the pain points and happy paths of your UX. This will help fix issues that are interrupting the journey and causing customers to drop as well as understand how to delight them and make your journey more sticky.

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I believe tracking usage metrics like an overprotective parent 👀 - Session length, logins, clicks, scrolls, taps, hovers, User recordings, heatmaps, analytics.>Tools We Need 🛠️Google Analytics: Basic metrics. 🍞Mixpanel: Journey mapping. 🗺️Amplitude: Real-time insights. 🕒>What to Measure 📏Login Frequency: How often they visit. 🏠Session Length: Duration they stay. 🎉Page Visits: Areas explored. 🚪Action Points: Clicks, likes, shares. 🖱️>Iterate & Innovate 🔁Spot Trends: Connect metrics to patterns. 🧩Close Gaps: Fill drop-off areas. 🕳️Seize Opportunities: Leverage user highs. 🚀

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The goal should be to make them stick around like they've found their favorite TV show binge. 📺 >Tools to Unleash 🛠️Optimizely: For A/B testing.VWO: Dabble in multivariate tests.Google Optimize: Experiment till you drop.Leanplum/Braze/Intercom: For those sweet campaigns.>Steps to Experimentation 🧪Isolate Variables: One variable at a time.Hypothesis-Driven: Formulate a guess 🕵️Split Test: Make your A/B test an A+ effort.Track Metrics: Conversion, time-on-page, you name it.>Optimize & Amplify 📈Positive Impact: Double down on what works.Tweak and Repeat: No one gets it right the first time. Personalization: Show you 'know' them.

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There are many tools for testing nowadays but the success of your testing will be in the planning and structure.Once objectives and metrics are clearly defined, list the testing ideas and create a planning, testing one variable after the other.It's hard to resist the urge to test different things at the same time, but it's important to be strict with the methodology to ensure the learnings are clear and actionable.

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Iteration is where the magic happens. Or as I like to call it, where the rubber meets the ROI. 🚗>Data Deep Dive 📊Spot Trends: A pattern's worth a thousand words.Contrast & Compare: Match your findings with initial hypotheses.Check the Rear view Mirror: How do results align with past data?>Validate or Invalidate 🎯User Feedback: The customer is always, well, worth listening to.Fail Fast: If something's amiss, better to know now.>Action Stations 🛠️Tweak It: Make the necessary adjustments.Test Again: Iteration is the sibling of innovation.Data-Driven Decisions: Opinions are like birthdays; everyone has one, but numbers don't lie.>Keep the Loop 🔄Never Settle: Keep iterating like a mathematician.

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As much as I prefer to lead with data analysis and make data-driven design decisions, good old-fashioned common sense must play a role too. Start by keeping the golden rule in mind: "Treat others as you want to be treated". Then, think about your grandmother. Is your user experience one that you'd want your grandmother to endure? Finally, traffic analysis is great, but you can't put bounce rates or repeat visitors in the bank. You can only put completed transactions and revenue in the bank. So, do an RFM analysis on a regular basis, and use it to understand your RFM trends. If your frequency and monetary values are improving, you're doing something right.

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