Mobile App Marketing

The Paradox of Growth: The Bigger You Get, the Less You Know I came across something that stuck with me: When companies scale, they gain users — but lose understanding. Not because they stop caring, but because their customer feedback starts living everywhere — support tickets, sales calls, forums, surveys, social media, and app store reviews. That thought really made me pause. I’ve seen this firsthand. When a company is small, every piece of feedback feels personal — every bug report or review has a face behind it. But as you grow, those voices scatter across platforms and departments. Support sees the frustration, sales hears the hesitation, leadership sees the numbers — and somehow, everyone’s looking at the same customers, but no one’s hearing them anymore. That, in my opinion, is the quiet cost of growth. This is the problem Enterpret is solving — by helping teams stay in tune with their customers even as they scale. Here’s how it works: → It collects real-time customer feedback from 55+ channels — support tickets, sales calls, social media (X, Reddit, Instagram, Facebook), app store reviews, community forums, surveys, Slack, and more. → It analyzes all that feedback using AI and tells you exactly what to fix or build next. → It maps everything through a customer knowledge graph that connects feedback, complaints, and requests by channel, user, and payment data. → It even provides a chat interface where you can directly ask questions, and AI agents that flag bugs or issues automatically. That’s why teams like Notion, Perplexity, Canva, Chipotle, and The Farmer’s Dog use it — to make sure customer voices never get lost in the noise. In my view, the real lesson here isn’t about using more tools — it’s about staying close to the people you build for. Here’s how I’d approach it: ✅ Centralize every piece of feedback — even if it’s messy. ✅ Look for patterns instead of isolated complaints. ✅ Use AI systems like Enterpret to uncover the “why” behind what customers say. Because in the end, growth shouldn’t make you deaf. It should make you listen better — just faster. How does your team make sure you’re hearing what customers really mean, not just what they say? #CustomerFeedback #AIProducts #ProductStrategy #VoiceOfCustomer #Enterpret #Leadership

Following user feedback is a Product Management virtue. Is there an actual way to implement it, between all the noise, bugs, and stakeholder requests? Well… Most teams claim they are customer-driven. Yet the moment you open Zendesk, App Store reviews, survey results, and Slack threads, you instantly remember why everyone quietly avoids this work. Feedback is everywhere, contradictory, emotional, duplicated, and nearly impossible to turn into decisions.  It is chaos disguised as “insights.” This is why the new Amplitude AI Feedback release caught my attention and made it all the easier to decide to partner with them on this update. It successfully connects what users say with what they actually do, in one workflow. No extra tools.  No extra tabs. You see their words, frustrations, and praise. You see their behavior. And AI transforms it into ranked themes, rising trends, top requests, and complaints. Noise turns into clarity. Opinions turn into patterns. Patterns turn into action. And because it is native inside Amplitude, it kills the biggest problem in feedback work: Fragmentation. Everything flows into analytics, session replay, and cohorts, creating a full loop from insight to fix. You can trace why an issue matters, how many users care, how it impacts behavior, and which actions you should take. Finally, a single source of truth for PMs, UX, CX, and marketing. I’m also genuinely impressed with the supported sources of feedback: App Store, Google Play, Zendesk, Intercom, Freshdesk, Salesforce Service, Gong, Trustpilot, G2, Reddit, Discord, and X. Slack arrives in Q1, and there will be more! If you ever felt overwhelmed by feedback, this is one of the first attempts I have seen that genuinely solves the operational pain, not just the reporting part. It launches… Today! Take a look: https://lnkd.in/dAJKeTez What was the most successful update you know that came from the product’s users? Let me know in the comments. #productmanagement #productmanager #userfeedback

Getting the right feedback will transform your job as a PM. More scalability, better user engagement, and growth. But most PMs don’t know how to do it right. Here’s the Feedback Engine I’ve used to ship highly engaging products at unicorns & large organizations: — Right feedback can literally transform your product and company. At Apollo, we launched a contact enrichment feature. Feedback showed users loved its accuracy, but... They needed bulk processing. We shipped it and had a 40% increase in user engagement. Here’s how to get it right: — 𝗦𝘁𝗮𝗴𝗲 𝟭: 𝗖𝗼𝗹𝗹𝗲𝗰𝘁 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 Most PMs get this wrong. They collect feedback randomly with no system or strategy. But remember: your output is only as good as your input. And if your input is messy, it will only lead you astray. Here’s how to collect feedback strategically: → Diversify your sources: customer interviews, support tickets, sales calls, social media & community forums, etc. → Be systematic: track feedback across channels consistently. → Close the loop: confirm your understanding with users to avoid misinterpretation. — 𝗦𝘁𝗮𝗴𝗲 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘇𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 Analyzing feedback is like building the foundation of a skyscraper. If it’s shaky, your decisions will crumble. So don’t rush through it. Dive deep to identify patterns that will guide your actions in the right direction. Here’s how: Aggregate feedback → pull data from all sources into one place. Spot themes → look for recurring pain points, feature requests, or frustrations. Quantify impact → how often does an issue occur? Map risks → classify issues by severity and potential business impact. — 𝗦𝘁𝗮𝗴𝗲 𝟯: 𝗔𝗰𝘁 𝗼𝗻 𝗖𝗵𝗮𝗻𝗴𝗲𝘀 Now comes the exciting part: turning insights into action. Execution here can make or break everything. Do it right, and you’ll ship features users love. Mess it up, and you’ll waste time, effort, and resources. Here’s how to execute effectively: Prioritize ruthlessly → focus on high-impact, low-effort changes first. Assign ownership → make sure every action has a responsible owner. Set validation loops → build mechanisms to test and validate changes. Stay agile → be ready to pivot if feedback reveals new priorities. — 𝗦𝘁𝗮𝗴𝗲 𝟰: 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝗜𝗺𝗽𝗮𝗰𝘁 What can’t be measured, can’t be improved. If your metrics don’t move, something went wrong. Either the feedback was flawed, or your solution didn’t land. Here’s how to measure: → Set KPIs for success, like user engagement, adoption rates, or risk reduction. → Track metrics post-launch to catch issues early. → Iterate quickly and keep on improving on feedback. — In a nutshell... It creates a cycle that drives growth and reduces risk: → Collect feedback strategically. → Analyze it deeply for actionable insights. → Act on it with precision. → Measure its impact and iterate. — P.S. How do you collect and implement feedback?

Why ₹100 Referrals Don’t Work in Tier 2 India And what actually does. A few years ago, I assumed referrals were a simple game: Give someone ₹100, and they’ll get 3 of their friends to sign up. That worked. Until I tried it in Tier 2 India. And not as successful. I spent the last few weeks studying failed and successful referral programs in Tier 2 & 3 India -from gaming and finance to health and edtech. Here’s what I learned 1. Trust > Transaction Referrals in smaller towns are personal. It’s not “Get ₹100 and refer your friend.” It’s “If I’m doing this, and I trust it — so should you.” A neighbour, a cousin, or a shopkeeper saying “Yeh achha hai” > beats any ad, any coupon. 2. Relationships, Not Rewards People here don’t refer for ₹100. They refer because they want their cousin to benefit. Their community to win. I call it the “If you win, I win” mindset. And you can’t buy that with small cash. 3. Hyper-Local, or Nothing Referral messages work "only" when they feel native: -Vernacular language  - Local idioms & festival cues  -Delivered via WhatsApp groups, temples, kirana stores One of the most effective campaigns I saw? Printed flyers handed out by teachers at local schools. 4. Recognition Beats Rupees A shoutout at a community event. A thank-you in a local Facebook group. A small badge for being the “top recommender” at a nearby clinic. That social reward outperforms cash in places where "reputation = ROI". So what’s the takeaway? If you’re designing a referral program for Bharat:  1/Anchor in community  2/Localize everything  3/Build for trust, not conversion  4/Use cash as a supporting nudge - not the hook Curious to hear from you: What’s a small growth experiment that failed - until you rethought the user’s world Let’s trade notes.

Every company says they listen to customers. But most just hear them. There's a difference. After spending years building feedback loops, here's what I've learned: Feedback isn't about collecting data. It's about creating change. Most companies fail at feedback because: - They send random surveys - They collect scattered feedback - They store insights in silos - They never close the loop The result? Frustrated customers. Missed opportunities. Lost revenue. Here's how to build real feedback loops: 1. Gather feedback intelligently - NPS isn't enough - CSAT tells half the story - One channel never works Instead: - Run targeted post-interaction surveys - Conduct deep-dive customer interviews - Analyze product usage patterns - Monitor support conversations - Build customer advisory boards - Track social mentions 2. Create a single source of truth - Consolidate feedback from everywhere - Tag and categorize insights - Track trends over time - Make it accessible to everyone 3. Turn feedback into action - Prioritize based on impact - Align with business goals - Create clear ownership - Set implementation timelines But here's the most important part: Close the loop. When customers give feedback: - Acknowledge it immediately - Update them on progress - Show them implemented changes - Demonstrate their impact The biggest mistakes I see: Feedback Overload: - Collecting too much data - No clear action plan - Analysis paralysis Biased Collection: - Listening to the loudest voices - Ignoring silent majority - Over-indexing on complaints Slow Response: - Taking months to act - No progress updates - Lost customer trust Remember: Good feedback loops aren't about tools. They're about trust. Every piece of feedback is a customer saying: "I care enough to help you improve." Don't waste that trust. The best companies don't just collect feedback. They turn it into visible change. They show customers their voice matters. They build trust through action. Start small: 1. Pick one feedback channel 2. Create a clear process 3. Act quickly on insights 4. Show results 5. Scale what works Your customers are talking. Are you really listening? More importantly, are you acting? What's your approach to customer feedback? How do you close the loop? ------------------ ▶️ Want to see more content like this and also connect with other CS & SaaS enthusiasts? You should join Tidbits. We do short round-ups a few times a week to help you learn what it takes to be a top-notch customer success professional. Join 1999+ community members! 💥 [link in the comments section]

Remarketing is often the misunderstood middle child of performance marketing. Let’s break a couple of myths🔨 🎯 One size fits all fits probably no one:  I’ve seen many companies burn money on campaigns that don’t recognize that every section of their audience has their own motivations. Why, if I had a penny for every time I visited a site with no intent to purchase their product at all, only to spot a “Schedule a Demo Today” ad by them on whichever site I visit, I’d probably be the richest guy in SaaS! I read somewhere that 84% of users either ignore or are put off by retargeting ads! Shows how important it is to get it right. Start doing these things: - Segment visitors by page depth (1 page vs 3+ pages) - Track time-on-site thresholds (>2 min = higher intent) - Create separate campaigns for pricing page visitors vs. blog readers Tailor your content based on your audience’s behavior and stage in the buyer journey (URL path visitors, action completers, cart abandoners) 🎯 Retargeting works like a mosquito coil:  Retargeting is not plug and play, and it typically doesn’t stop with one level. Retarget for all customer stages. Not only demo and trial signups. This insulates your prospects from leaving the funnel midway. We’ve had cases where we spent thousands of dollars on a retargeting campaign only to make zero sales. But here’s what happened afterward ⭐ : When we triggered another retargeting campaign for the warmer folks from the previous campaign, giving them BOFU content, we made sales. A lot of it! What’s to learn here? You’re unlikely to be bet on with just the first touch point. You have to build that awareness consistently. Create a 3-tier remarketing structure: > Tier 1 (Cold): Educational content, industry reports > Tier 2 (Warm): Case studies, comparison guides > Tier 3 (Hot): Free trials, demos, limited-time offers Build custom audiences for each segment, assign specific content types to each, and implement frequency caps based on ‘bucket temperature’. Also, the focus should also be on increasing the credibility of your company rather than only pushing them towards the CTA. Here's one customized Google + LinkedIn campaign strategy we used for a client recently. What are some retargeting tactics that’s worked for you?

The smartest launch campaigns don’t rely on one story. They build an ecosystem of stories. Samsung’s Galaxy S26 influencer launch is a great example of this approach. Instead of asking one creator to explain everything about the phone, Samsung worked with multiple creators across different verticals — each highlighting the feature that matters most to their audience. Film creators showcased Nightography, capturing cinematic low-light scenes that prove the camera’s power without saying a word. Gaming creators focused on the phone’s AI gaming capabilities, showing smoother gameplay, faster responses, and immersive performance. Lifestyle creators highlighted the privacy display, framing it as a practical everyday feature for people constantly on their phones in public spaces. Why this strategy works → Feature–creator alignment. Each creator demonstrates what they naturally understand best. → Audience relevance. Film fans, gamers, and lifestyle audiences each see the feature that matters to them. → Campaign depth. Instead of one big message, Samsung builds a network of narratives around the same product. Great product launches today aren’t one-off influencer posts. They’re creator ecosystems. Different creators. Different angles. One product story told through multiple perspectives. That’s how you turn a launch into something people actually pay attention to.

Simple segmentation can be a game-changer in your PLG strategy. Segmentation in PLG isn't just about dividing your audience; it's about understanding and addressing their unique needs, leading to more personalized experiences, higher engagement, and ultimately, a more successful product. Here are 2 simple approaches: 1) Behavior-Based Segmentation: Look beyond the surface and dive into how different users interact with your product. Are they frequent flyers or occasional tourists? This insight allows you to tailor your product and marketing efforts, ensuring each user finds what they're looking for. 2)Role-Based Segmentation: In a B2B setting, a one-size-fits-all approach is particularly ineffective. Different roles have different goals. Understanding whether your user is a CTO, a marketing manager, or an end-user enables you to speak their language and meet their specific needs. Effective user segmentation in PLG isn't just a nice-to-have; it's a must-have. By identifying and understanding the diverse needs of your user base, you can create more targeted, relevant, and successful strategies that resonate with each segment.

That’s the thing about feedback—you can’t just ask for it once and call it a day. I learned this the hard way. Early on, I’d send out surveys after product launches, thinking I was doing enough. But here’s what happened: responses trickled in, and the insights felt either outdated or too general by the time we acted on them. It hit me: feedback isn’t a one-time event—it’s an ongoing process, and that’s where feedback loops come into play. A feedback loop is a system where you consistently collect, analyze, and act on customer insights. It’s not just about gathering input but creating an ongoing dialogue that shapes your product, service, or messaging architecture in real-time. When done right, feedback loops build emotional resonance with your audience. They show customers you’re not just listening—you’re evolving based on what they need. How can you build effective feedback loops? → Embed feedback opportunities into the customer journey: Don’t wait until the end of a cycle to ask for input. Include feedback points within key moments—like after onboarding, post-purchase, or following customer support interactions. These micro-moments keep the loop alive and relevant. → Leverage multiple channels for input: People share feedback differently. Use a mix of surveys, live chat, community polls, and social media listening to capture diverse perspectives. This enriches your feedback loop with varied insights. → Automate small, actionable nudges: Implement automated follow-ups asking users to rate their experience or suggest improvements. This not only gathers real-time data but also fosters a culture of continuous improvement. But here’s the challenge—feedback loops can easily become overwhelming. When you’re swimming in data, it’s tough to decide what to act on, and there’s always the risk of analysis paralysis. Here’s how you manage it: → Define the building blocks of useful feedback: Prioritize feedback that aligns with your brand’s goals or messaging architecture. Not every suggestion needs action—focus on trends that impact customer experience or growth. → Close the loop publicly: When customers see their input being acted upon, they feel heard. Announce product improvements or service changes driven by customer feedback. It builds trust and strengthens emotional resonance. → Involve your team in the loop: Feedback isn’t just for customer support or marketing—it’s a company-wide asset. Use feedback loops to align cross-functional teams, ensuring insights flow seamlessly between product, marketing, and operations. When feedback becomes a living system, it shifts from being a reactive task to a proactive strategy. It’s not just about gathering opinions—it’s about creating a continuous conversation that shapes your brand in real-time. And as we’ve learned, that’s where real value lies—building something dynamic, adaptive, and truly connected to your audience. #storytelling #marketing #customermarketing

IT Channel, SaaS and B2B companies already have databases. Most of you have invested in CRMs. But a main culprit why your marketing campaigns don't fill the CRM: One message goes to everyone. And then you hope for replies. What's missing: SEGMENTATION. Segmenting your database changes the game. This is what your marketing teams must do: start with just 3 segmentation buckets. - Industry (Manufacturing, Banking, Finserve, Fintech, IT/ITES, Pharma etc.) - Role (CIO, IT head, CISO etc.) - Relationship (prospect, client, dormant client) Then, customize your messages to each bucket: - Call out the exact challenge they’re facing right now - Show them how you’ve solved it for someone like them - Suggest one simple call to action to contact you And make use of testimonials: Eg: if you have a co-operative bank testimonial, it will resonate well with audience in that vertical. CRM works better when your segmentation is better. You need to use what you already have, with focus. Specific campaigns always feel relevant to your audience. And relevance always gets replies. Whether it's email, LinkedIn, WhatsApp or any other platform. So in your next review, ask your marketing team to spend a couple of weeks on segmenting your database. (they will need that much time) It's the need of the hour for your company. ---- Rajeev Mamidanna Fixing what most tech founders miss out - Brand Strategy, Marketing Systems & Unified Messaging in 90 days & helping you with continuous Marketing