inai (YC S21)

It's finally here🎁 We're more than excited to unwrap our latest creation inai's "Optimize and Reconcile" – Now Live on Product Hunt! 🚀 Having processed over millions of transactions, we have learned that merchants can lose up to 60% of their business due to payment failures and spend over 30% of their time reconciling payments across multiple gateways.💸⏳ In inai's "Optimize and Reconcile", we've revolutionized every aspect of the payments to provide in-depth insights on your payment stack and uncover hidden opportunities with AI-based recommendations. 🤖💡 Along with automating recon to optimize fees and your FinOps time.💰 Whether you're a small startup or a large corporation, our platform caters to businesses of all sizes. 🏢 Join us on Product Hunt today and explore a better way to manage your payments! Please show us some support and love ❤️ https://lnkd.in/gAS8JMDA #payments #fintech #paytech #onlinepayments #producthunt

🌟 Exciting Highlights from the PLS Amsterdam Summit! 🌍 Our team was thrilled to attend the event on September 23-24, where we connected with industry leaders and gained valuable insights. Here are some key takeaways from our conversations with merchants: 💡 Optimizing Payment Costs: - Many merchants rely solely on PSP invoices, viewing them as final, without the resources to verify if they’re paying accurate fees. - They often lack visibility into all payment costs, both at the transaction level and platform fees like retries, 3DS, network tokens, etc. 💡 Reducing Involuntary Churn: - Up to 50% of churn is involuntary, which can heavily impact recurring revenue when left unchecked. - Most merchants employ basic retry strategies, but fail to consider factors like decline codes, MCC codes, or payment instruments, resulting in significant involuntary churn and millions in lost revenue. 💡 Payment Optimization: - Payment optimization, alongside Orchestration, was a major focus for merchants. - Many realize that the key to better payment performance lies in unlocking the potential of their payment data. - Building a strong data infrastructure that enables granular insights and anomaly detection is now a top priority. A big thanks to Mike Evennett, Anantharaman Pattabiraman and all the fantastic attendees for the great conversations and shared insights! Together, let’s continue to push innovation in the payments industry. #PLSAmsterdam #Payments #InvoluntaryChurn #DataDriven #CustomerAcquisition #PaymentOptimization #inai #Networking #Innovation #PLSEU

Failed subscription payments are often misunderstood as "minor operational expense". But in truth, its the biggest stream of revenue loss. When a payment fails, you're not just losing one transaction—you’re forfeiting the entire lifecycle value of a paying customer. Even a 2% of churn on your MRR will compound to losing 📉 21.5% of your existing customer base annually . Sending 10 emails after a payment failed , is this a solution? Certainly not ! Evolving your retention strategy is the 🔑 ❇ 𝐃𝐞𝐞𝐩 𝐝𝐢𝐯𝐞 𝐚𝐧𝐝 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐲𝐨𝐮𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐩𝐚𝐲𝐦𝐞𝐧𝐭𝐬 𝐝𝐚𝐭𝐚. ✴ 𝐒𝐦𝐚𝐫𝐭 𝐑𝐞𝐭𝐫𝐢𝐞𝐬, leverage from low code tools like inai (YC S21) to implement ML-driven retry strategies analyzing 300+ parameters to improve timing and payload. [to ensure 5-15% ARR 📈 growth]. #churn #recurringrevenue #failedpayments #subscription

📣 Is INVOLUNTARY CHURN in your subscription business inevitable.....? 💰 Up to $150bn p/a is lost by subscription businesses due to this silent killer of revenue, growth and customer satisfaction. 📈 For healthy growth, subscription businesses want at least a 3:1 ratio of lifetime value V's customer acquisition costs. 🤒 Involuntary churn will have a disastrous effect on those growth<>cost ratios as it creeps up on you. Even with a robust billing system, no one is immune during the lifetime of a subscriber. ❓ Common Reasons: 🔴 Expired cards 🔴 Out of date billing info 🔴 Charge not flagged as recurring 🔴 Hard decline after fraud 💡 Do you have a robust retry strategy? 1️⃣ Split failures by soft & hard declines 2️⃣ Analyse payment decline at transaction level detail 3️⃣ Identify ineffective retry attempts and adjust the logic 4️⃣ Adopt a Smart Retry Logic 5️⃣ Segment retries by time, BIN, issuer, region, demographic and tailor the logic 👋 Wave goodbye to Involuntary Churn 🤔 💹 Focus on continually improving customer service, attracting new customers and growth, without the serious threat to any subscription company of involuntary churn. 🧠 Learn about inai (YC S21)'s REVIVE product and retry techniques to boost your recovery rates while enhancing customer experience and revenue. #SubscriptionPayments #InvoluntaryChurn #Payments #inai

Did you know that 15% of recurring payments and 7.9% of credit card payments are regularly declined? 📈 Retrying payments can recover up to 32% of failed transactions, reducing involuntary churn, improving customer retention, and maximizing lifetime value. It’s important for merchants to understand the common root causes of payment failures and address involuntary churn through effective retry strategies, customizable retry limits, optimized retry timing, and so on. 🔧 Some top strategies to Implement: 🔀Segregate Soft and Hard Declines: Focus on addressable issues. 🔎Analyze Payment Data: Understand patterns and optimize retry logic. 🔁 Smart Retry Logic: Assess decline codes to determine the likelihood of a successful retry. Check out the blog to learn more ↙ https://lnkd.in/gPstbt2e #payments #subscription #paymentretry

In my recent conversations with merchants on LinkedIn, and other payment conferences, especially those processing over $300M, it’s clear that there are significant concerns about discrepancies in fees management especially under the IC++ model and the inefficiency of managing multiple merchant accounts. This highlights the need for an automated system with accurate benchmarks and effective comparison tools. 🔍 Fee Complexity: Fees include multiple components (Interchange, Scheme, Processor, Markup). Merchants control only the markup and face challenges with the rest. 📈 Constant Changes: Fees are constantly changing, making it difficult to stay updated. 😠 Billing Errors: PSPs/Acquirers often bill merchants incorrectly, such as charging different fees for the same card type or not crediting interchange fees for refunds. ☣ Lack of Transparency: There is a lack of transparency for "other" fees, such as excess retries or chargeback fees, which are not attributable on a per-transaction basis. 📊 Data Standardization: There is no standardization in how different acquirers present data—ranging from APIs to CSVs, monthly PDFs, or sometimes no data at all. Here are a few strategies merchants can use to manage this complexity: 1). Leverage Data: Establish a robust data infrastructure to capture all fees. Vendors like Inai (YC S21) specialize in aggregating fees across multiple PSPs. 2). Collaborate with PSPs/Acquirers: Work with your PSPs/acquirers to get granular fee details. 3). Track Anomalies: Systematically track fee anomalies and identify opportunities to reduce costs, such as stale authorizations or failing to use AVS, which can lead to interchange downgrades. What strategies have worked for you? Feel free to share your comments or DM to talk payments.

🛒  Why Your Business Needs Multiple Payment Processors? One of the biggest hurdles for retailers & e-commerce businesses face is navigating the complexities of payment processing. Relying on a single payment processor can limit your growth and flexibility. Adopting multiple payment processors is crucial for expansion, though it’s not without its own set of challenges. Lets Deep-Dive 🔬   💱 PROS of Multiple PSPs 💠 Offers customers their preferred payment methods, boosting satisfaction and loyalty to your brand. 💠 Reduces payment failures by leveraging different processors' strengths. 💠 Ensures continuous service by providing backup options during processor outages 💠 Choose cost-effective payment processors for specific transaction types or regions to minimize overall payment processing expenses 💠 Leverage the best innovations from each, such as #Adyen's advanced fraud prevention and #Stripe's extensive developer tools.   ⚠ CONS of Multiple PSPs 🔸 Handling data from various sources can be overwhelming and challenging to manage. 🔸 Different processors may provide different metrics, making it hard to maintain a unified view of performance. 🔸 With multiple systems in place, the chances of encountering processing errors increase. This can lead to failed transactions, duplicate charges, or delayed payments. How to resolve these challenges? 🛠 Implement Payment Observability tools Like inai (YC S21) to : ✅ Consolidate data from all payment processors into a single, unified performance dashboard. ✅ Standardize metrics across processors for accurate and comparable KPI analysis. ✅ Gain Real-time visibility and alerts on processing errors, eventually reducing transaction failures 🌟  Why It Matters? A robust payment observability platform ensures you can transform your payment data into actionable strategies i.e. overcome the complexities of managing multiple processors to drive efficiency and growth in a competitive market and expand into new markets. Feel free to add your thoughts below. #Payments #Ecommerce #Retail #CPG #PaymentProcessing #PaymentObservability

The quality of data provided by vendors is a critical concern. Merchants find it extremely challenging to perform in-depth analyses due to the lack of insights and depth into data. Stats highlight how a substantial data gap sabotages merchants' ability to optimize their operations and improve their bottom line. 📈 This gap spans several areas, such as: 🚫 65% of merchants don't receive detailed raw response codes on failed payments. 📊 41% of merchants lack actionable analytics with their payment data. 🔎 48% of merchants do not receive a detailed cost breakdown. The data clearly indicates a significant gap in the types and levels of data that merchants receive. To bridge this gap, there is a pressing need to enhance the quality and granularity and leverage the entirety of the payment data set, particularly at the transaction level, to better understand and improve transaction economics. A better strategy would be to opt for a solution with smooth integration capabilities, detailed cost breakdowns, and actionable analytics that enable you to identify the reasons behind transaction failures and eliminate unnecessary fees. To help merchants with that, inai provides a payment data observability and intelligence platform for global merchants to visualize payment performance, gauge benchmarks, and optimize payment costs with intelligence. 🌐 We aggregate all decline codes and use proprietary payment insights collected from multiple data points, offering critical information to identify which transactions can be retrieved upon failure. Connect with the team to get a payment health analysis ↙ https://lnkd.in/gTZYGQAv? Source: https://lnkd.in/gmPw-Rkz #optimize #payments #declines #inai #dataintelligence

💰 Finding new ways to cut costs is one of the top priorities, whether you are a small business owner or one of the big ones. One often overlooked area for savings is how you process card transactions. You might think you've optimized everything, but you can still save by refining how you process card transactions. You probably opted for the best discount rate when you first started accepting credit card transactions. But, over time, transactions that don't meet the minimum requirements for the target Interchange category can result in an interchange downgrade. 📉 Every transaction downgraded to a less-than-optimal rate adds up, which chips away at your bottom line. 💸 However, to ensure all your transactions are clear at this optimal rate, it's crucial to understand common reasons for interchange downgrades and how to avoid them. 🔗 Check out this piece on Interchange Downgrade ↙ https://lnkd.in/gktYJy9H Let us know your thoughts in the comments! 💬 #interchangedowngrade #Payments #fee

〽️Churn is a complicated challenge that demands a customized solution. From failed payments to shifting market dynamics, the issues behind churn are as diverse as they are frustrating. Payment data, a whirlpool of information, often blurs the lines between voluntary and involuntary churn, making identification difficult. To gain clarity and actionable insights, consider segmenting average churn rates by order value, payment method, industry, and different customer cohorts. 🔍 Explore our optimization product for 360-degree observability and granular-level insights to help you dissect data, uncover patterns and opportunities to optimize your retention, and retry strategies, along with personalized recommendations to tackle churn effectively! 💪🏼 🫱🏽🫲🏼 Connect with the team to learn more ↙ https://inai.io/demo #recurringpayments #optimize #churn #failedpayments