Como você pode priorizar melhorias de produto com métricas de marketing?

This is a fundamental indicator of how well our product meets the needs of the market. Surveys and direct customer feedback can help assess our product-market fit. If we notice that the market's needs are diverging from our product's features, it's time to prioritize improvements in those areas.

Product market fit is simply making what customers want. The trick is to always think and feel like the customer. In many cases, customers are unsure of what they want. Observation of consumer behavior and product testing is a great way to understand what customers want that even the customer is unaware of.

Product market fit is critical for any business as it supports in creating products that meets the need and demands of the target market. Customer feedback, interviews and surveys validate the real need of product in the market and helps understand pain points, priorities which are essential for manufacturing product and focus on features that matter most to the users. With this approach companies can respond more effectively to the changing market needs as compared to their competitors and gain market share. Continuously seeking and acting upon customer input ensures that product remain competitive, relevant and aligned with the requirements of the consumer.

Imagine your product as a lock and your target market's needs as the key. Product-market fit is all about how perfectly they align. It's your secret sauce for success and unwavering customer loyalty. 🏆 🔍 To gauge this fit, tap into surveys, interviews, reviews, and usage data. Uncover how happy users are, how often they're using your product, and whether they'd be your biggest cheerleaders. Identify the features that light up their world. 🌠 💡 Armed with these insights, turbocharge your product. Prioritize upgrades that pump up its value, solve user problems, and make it shine in a sea of competitors. 🚀 Ready to conquer? Remember, it's not just about a product – it's about crafting an unforgettable experience. 🛍️🚀

Beyond the fundamental metrics like PMF, CAC, CLV, or Churn. We can also improve marketing using product analytics. For e.g. understanding product usage data, adoption rate, retention cohort for various customer segments, identify focus customer segments and marrying this understanding with customer journey. Ultimately influencing marketing strategy.

Understanding CLTV allows us to identify which features are most valuable to our long-term users. Prioritize improvements that will increase this value, as they contribute to sustained business growth.

Customer Lifetime Value (CLV) is a vital gauge of revenue potential. It quantifies a customer's anticipated total spend during their association with your product. My LinkedIn writing expertise underscores its significance. To compute CLV, multiply avg. revenue per customer, retention rate, and lifespan. This holistic view directs strategy. Elevate per-customer revenue via upselling, cross-selling, or premium features. Prolong customer association by enhancing quality, usability, and support - strategic imperatives for growth.

Product improvements can be prioritized by considering how they can impact Customer Lifetime Value (CLV) over time and focusing on those that have the greatest potential for increasing customer value. Here's how: Understanding & Analysis: • Segment customer base (high, medium & low value) • Identify pain points & estimate impact on CLTV • Align with brand Strategy Development: • Brainstorm improvements • Assess ROI Execution & Refinement: • Test & validate • Prioritize high impact improvements • Create roadmap • Monitor, learn, iterate CLTV is just one metric, albeit an important one. It is also valuable to consider its relationship with other metrics like CAC and churn rate to get a holistic picture of your business's health.

Most CLV related metrics dont acknowledge the fact that products evolve sometimes in a serious pace. The key for growth is to keep the customer onboard even at rapid iterations of the product.

Customer Lifetime Value (CLV) is your crystal ball for business success. It predicts the revenue a customer will bring throughout their journey with your product, spotlighting profitability and growth potential. 🏆 🔍 To measure CLV, multiply average revenue per customer by average retention rate and customer lifespan. This formula reveals the magic number that guides your strategy. 💰 Boost CLV by smart upselling, cross-selling, and premium features. 🚀 Extend it by ramping up quality, usability, and support. Your product's journey just got a lot more exciting! 🌈 Ready to watch your business thrive? Remember, it's all about nurturing lasting relationships and building a brighter future.

If the cost to acquire a new customer is high, look for product improvements that could make our offering more attractive, reducing the need for expensive marketing efforts.

Honestly, Customer Acquisition Cost can sometimes feel like a drain on resources. Sometimes, it feels like we're chasing numbers instead of focusing on genuine customer value…

CAC only acknowledges spending meanwhile time also have to be factored in. What if the marketing team only “spends” time on creating content but doesn’t spend on ads. How will that affect CAC?

Customer Acquisition Cost (CAC) is your efficiency gauge. It reveals the average expense to win a new customer – a key metric for your product's growth potential. 🏆 📊 To compute CAC, divide total marketing and sales spending by new customers acquired. This number guides your optimization journey. 💰 Slash CAC by refining marketing channels, supercharging conversion rates, and tapping into referrals. 🚀 Efficiency is the name of the game! 🌈 Ready to propel your product? Remember, it's about smarter strategies and resourceful approaches, all working towards a brighter tomorrow.

It is important to track and understand your (CAC) and companies use this to varying degrees. One of the major challenges to this is how you gauge the attributions that you assign to each customer. In my personal experience, I have used a custom weighted average and assignment for (CAC) and specifically how to track trade show spend and efficacy. If I met with the same customer at 2 trade shows, and gained equal ground at each...I may attribute 50% to each of the shows (to help track the ROI against each). However, for companies with long and complex sales cycles such as mine, there can be years of multiple activities so it can be very challenging to truly gauge CAC.

Nothing matters more than churn rate. It's the ultimate metric in terms of understanding whether your product or service is fulfilling its promise, not only from a feature or "how-it-makes-your-customer-feel" standpoint, but also from an economic one -- meaning, is it worth its price? All other metrics are secondary IMHO.

A high churn rate is often a red flag that users are unsatisfied with some aspect of our product. Prioritizing improvements in areas that directly affect customer retention can have a dramatic effect on our bottom line.

The churn rate itself helps you only if you understand why customers decide to leave your product. Adding qualitative data collection techniques to your cancellation process gives you more insights into this area. You can add a short survey to the cancellation flow, offer a call with a team member, or start experimenting with alternative offers people can switch to. People who leave give you a strong signal - make sure you listen.

Churn could arise out of product obsolescence, changing customer needs / segment characteristics shift, product performance issues / ineffective containment and corrective actions, better value proposition by competition or any disruptions in technology / worldviews.

Very important to track your Churn rate and understand how many of your customers may be cancelling, and more importantly to truly understand why this is happening and how it can addressed. Having your product provide massive customer value is the best way to keep churn as low as possible.

Net Promoter Score (NPS) This is a simple but effective metric for measuring customer satisfaction and loyalty. Conversion Rates If there's a specific stage in the user journey where we notice a significant drop-off, it may indicate that a feature or process is not meeting users' expectations. Focusing on improvements in these areas can lead to higher conversion rates. User Engagement Metrics Metrics like daily active users (DAU), monthly active users (MAU), and average session length can give insights into how engaging our product is. Improving these metrics generally requires enhancing the features that are most often used or introducing new features that increase engagement.

When it comes to product improvement, many talk about customer-centricity, but few walk the walk. Take a sip from Coca-Cola's recipe for success 🥤: 📊 Metrics Magic: They blend marketing and product data, dissecting different sources for sentiment insights. 🚀 Viral Effect: Identifying buzzworthy flavors led to new launches, boosting sales and the brand. 🔑 How to replicate: 1️⃣ Biz Metrics: Define key business metrics, not just marketing metrics. 2️⃣ Customer Voice: Gather data from all possible sources. 3️⃣ Compete Smart: Rivals' strategies to fine-tune your offerings. 4️⃣ A/B Testing: Experiment! 5️⃣ Segment: Tailor to each group's unique needs. 6️⃣ Focus: Break silos and align teams. 7️⃣ Stay Agile: Tweak with real-time data.

In my experience, a good MVP (Minimum Viable Product) is important. Something that a real person can see and interact with and perhaps even purchase is crucial in understanding potential market interest and acceptance. And if they can buy a sample, even better. There are lots of great ideas but getting a prospective customer to part with money is the best indicator of success. An MVP helps you visualize the customer sales journey because no matter how cool or creative or feature- packed your product/service is, nothing happens until a sale is made.

A lot of these metrics are heavy lag indicators like CLV and churn. Make sure you focus on the lead ones, so you can identify opportunities and problems more quickly. For example, watch conversion rates at the top of the funnel, leverage qualitative feedback from salespeople and customers, and monitor speed to adoption for users.

Online consumer feedback is also a great way to identify product improvements. Regarding prioritisation, it obviously depends on the volume of data you can collect from public reviews, their accuracy and their match with your product strategy. I recently addressed this topic with a customer active in B2C, and we quickly identified that the volume of feedback he was receiving monthly was large enough to draw meaningful conclusions. Of course, If the feedback volume is low, you can use this as a source for additional user research. Remember that feedback collection is the first step. Once you have identified your user problems, you should still cross them with your product strategy to confirm they are worth solving.