Growth Digger

Growth Digger

by Taran Nandha
EntrepreneurshipMarketing
Season 3

From CRM to CXM: How Real-Time AI Is Shaping the Next Era of Customer Experience Management 

In this episode of the Growth Natives Podcast, host Taran Nandha (Founder & CEO, Growth Natives) speaks with Rukman Singh, Senior Director – Customer Success & Experience, about the shift from traditional CRM systems to modern Customer Experience Management (CXM) powered by real-time AI. Discover how businesses are moving beyond managing customer data to delivering predictive, personalized, and seamless experiences that drive retention, expansion, and long-term growth. 🔍 In this episode: ✅ CRM vs CXM explained ✅ Role of real-time AI in customer experience ✅ Predictive personalization & proactive customer success ✅ How CXM becomes a true revenue engine Customer experience is no longer a support function — it’s a competitive advantage. 🎧 Tune in to learn how intelligent experience management is shaping the future of business.
S3 · E26
Feb 24, 2026
8:37

Why Speed Without Direction Kills Growth

In today’s fast-paced marketing world, speed is celebrated. Launch faster. Post more. Run ads aggressively. Chase quick wins. But what if speed — without clear direction — is silently hurting your growth? In this episode of Growth Digger, host Arishbha Sahni sits down with marketing leader Akanksha Dass to explore a powerful truth: Growth isn’t built by moving faster. It’s built by moving smarter. Together, they unpack how marketing teams often mistake activity for progress — and why clarity, positioning, and focus matter more than constant execution. In This Episode, We Explore: ✅Why modern marketing teams feel constant pressure to “move fast” ✅The difference between being busy and building momentum ✅How unclear positioning leads to wasted budgets ✅Why aggressive short-term tactics can damage long-term trust ✅Signs your team is operating in reaction mode ✅The simple clarity framework that turns speed into a competitive advantage. Who This Episode Is For: ✔️Marketing leaders under growth pressure ✔️Founders scaling their brand Performance & demand gen teams ✔️Content strategists ✔️Anyone navigating speed vs sustainability in business 📩 Want to learn more? Write to us at info@growthnatives.com Don’t forget to: 👍 Like this video 💬 Comment your favorite takeaway 🔔 Subscribe to the Growth Natives channel for more insights on marketing, automation, and AI-driven growth!
S3 · E25
Feb 21, 2026
12:43

The Rise of the Full-Stack Agency: Why Partnerships Win in 2026

In this episode of Growth Diggers, host Taran Nandha sits down with Akanksha Dass, Director of Marketing & Communications, to unpack one of the biggest shifts reshaping the agency ecosystem: The rise of the full-stack agency — and why partnerships are winning in 2026. This conversation breaks down how integrated teams, unified data, and AI-powered execution are replacing siloed vendors—helping brands scale faster, learn quicker, and drive outcomes with clarity. What You’ll Learn: What “full-stack agency” actually means beyond the buzzword Why fragmented vendor models slow down modern growth How end-to-end accountability changes execution The power of unified data and faster feedback loops Why AI accelerates growth only when embedded across the system How partnerships outperform traditional agency relationships Key Takeaway: Winning brands in 2026 won’t work with the most agencies— they’ll work with the most aligned growth partners. Listen If You’re: A marketing leader juggling multiple vendors and tools A growth team struggling with silos and unclear ownership A founder looking for outcome-driven execution A brand ready to move from campaigns to connected systems
S3 · E24
Feb 13, 2026
9:48

Cross-Cloud Coordination: Making Multi-Platform Marketing Actually Work in 2026

Episode Description Marketing in 2026 isn’t run on one platform—it’s spread across clouds. Salesforce manages pipeline. HubSpot runs campaigns. Analytics tracks behavior. Data lives in AWS. But most of these systems still don’t work together. In this episode of Growth Diggers, Akanksha Dass sits down with MarTech & Growth Strategy expert Gaurav Rajput to explore why cross-cloud coordination has become essential for modern marketing. This conversation breaks down how connected platforms reduce lead leakage, improve customer journeys, and help teams scale without chaos. What You’ll Learn: Why multi-platform marketing often breaks down What cross-cloud coordination really means The difference between disconnected tools vs connected systems How orchestration improves automation and reporting Why seamless journeys require aligned infrastructure Key Takeaway: Winning brands in 2026 won’t have the biggest stack— they’ll have the most connected one. Listen If You’re: A marketer managing multiple platforms A growth team dealing with silos and messy data A RevOps or MarTech leader building for scale
S3 · E23
Feb 12, 2026
9:55

The Future of RevOps: From CRM Workflows to AI Agents

In this episode of Growth Digger, host Khushboo Bhatia (Director, Strategic Partnerships) is joined by Erik Hooijer (Co-Founder of Pack of Nodes) and Taran Nandha (Founder & CEO, Growth Natives) to explore how Revenue Operations is evolving — from traditional CRM workflows to intelligent AI-powered agents. What once started as simple automation rules inside CRMs is now transforming into adaptive systems that can reason, learn, and optimize revenue processes in real time. This conversation breaks down the shift in a practical, business-first way — cutting through the buzzwords to focus on what AI agents truly mean for modern RevOps teams. From pipeline forecasting and lead prioritization to cross-team alignment and decision intelligence, this webinar highlights how RevOps is becoming a strategic growth engine powered by automation that goes beyond execution into intelligence. Whether you’re a RevOps leader, marketer, sales strategist, or operations professional, this session will reshape how you think about the future of revenue execution. 🎯What You’ll Learn in This Episode * What RevOps really means in today’s GTM landscape * The limitations of traditional CRM workflows and rule-based automation * How the shift from workflows to AI agents is changing revenue operations 💡Key Takeaway RevOps is no longer just about managing workflows inside a CRM — it’s about building intelligent systems that can reason, adapt, and actively support revenue growth. As automation evolves into AI-driven agents, RevOps shifts from operational support to becoming a true strategic partner in scaling business outcomes. Thinking about reimagining your RevOps strategy with AI agents or intelligent automation? The team at Growth Natives can help you design systems that scale, adapt, and drive real impact. 👉 Subscribe to Growth Digger for more conversations on AI, RevOps, and the future of scalable growth 👉 Like, Share & Comment if this episode helped you rethink what RevOps can become. 🎧 See you in the next episode!
S3 · E22
Feb 10, 2026
27:18

How Process Automation Is Moving Beyond Rules to Reasoning

In this episode of Growth Digger, host Taran Nanda (Founder & CEO, Growth Natives) sits down with Abeer Aulakh, Director of Marketing & Communications at DiGGrowth, to explore how process automation is evolving beyond rigid rules into intelligent, reasoning-driven systems. What once started as simple “if-this-then-that” workflows is now transforming into adaptive automation powered by AI, machine learning, and contextual understanding. This conversation breaks down that shift in a way that’s practical, human, and grounded in real business impact — not buzzwords. From understanding why traditional automation falls short to uncovering how reasoning-based automation supports smarter decisions, faster operations, and scalable growth, this episode helps you see automation not as a replacement for people, but as a strategic partner for teams. Whether you’re a business leader, marketer, operations professional, or tech enthusiast, this episode will change how you think about automation — and what it’s capable of today. 🎯 What You’ll Learn in This Episode What process automation really means — in simple, practical terms The key limitations of traditional rule-based automation What “moving beyond rules to reasoning” actually looks like in action How AI-powered automation uses:Machine Learning Data analysis (structured & unstructured) Natural Language Processing (NLP) Context-aware decision logic Real business benefits of reasoning-based automation:Faster processes Higher accuracy Better decision support Scalable operations Common challenges in adopting intelligent automation — and how to approach them thoughtfully Why human-in-the-loop models are critical for trust, governance, and long-term success 👥 Meet the Speakers 🎙 Host: Taran Nanda — Founder & CEO, Growth Natives 🎙 Guest: Abeer Aulakh — Director of Marketing & Communications, DiGGrowth 💡 Key Takeaway Automation isn’t just about doing tasks faster anymore — it’s about reasoning, adapting, and supporting better decisions. When automation evolves from rule-following to context-aware intelligence, it stops being a tool and starts becoming a true partner in growth. 📌 Thinking about implementing intelligent automation or reimagining your existing workflows? The team at Growth Natives can help you design systems that scale, adapt, and create real impact. 👉 Subscribe to Growth Digger for more conversations on technology, the future of work, and scalable growth 👉 Like, Share & Comment if this episode helped you rethink automation 🎧 See you in the next episode!
S3 · E21
Feb 2, 2026
5:59

The Latency Paradox: Why Speed Alone Won’t Define the Future of AI Customer Engagement

The Latency Paradox: Why Speed Alone Won’t Define the Future of AI Customer Engagement Host: Taran Nandha, Founder & CEO, Growth Natives Guest: Rukman Singh, Sr. Director – Customer Success & Experience, Growth Natives Episode Description Faster AI doesn’t always mean better customer experience. In this episode of Growth Digger, Taran Nandha and Rukman Singh explore the Latency Paradox—the idea that while AI can respond in milliseconds, customer engagement still fails when speed isn’t paired with context, intent, and meaningful resolution. They break down why instant responses often feel robotic, why speed at the interface doesn’t guarantee speed in the system, and how the next phase of AI customer engagement will be defined by understanding, orchestration, and trust—not just response time. What You’ll Learn Why sub-second AI responses can still create poor experiences The difference between response time and resolution time How lack of context makes fast AI feel slow and frustrating Why legacy systems break the promise of real-time AI When instant engagement helps—and when it backfires How AI-to-human handoffs should feel seamless, not disruptive What metrics matter more than speed in modern CX Key Takeaway Speed is no longer a competitive advantage—it’s table stakes. The future of AI customer engagement belongs to systems that are fast and thoughtful, fast and contextual, fast and human. Listen If You’re Designing AI-powered customer support or engagement systems Struggling with fast bots but low CSAT or trust Integrating AI with legacy CRM and backend systems Focused on CX, customer success, or digital transformation Looking to move beyond “instant replies” to meaningful resolution
S3 · E20
Jan 6, 2026
5:47

Templates Can’t Scale Strategy: Why Companies Are Rebuilding with Purpose-Built Web Apps

Templates Can’t Scale Strategy: Why Companies Are Rebuilding with Purpose-Built Web Apps Host: Rahul Sindwani, VP – Operations, Growth Natives Guest: Sumeet Rana, VP – Technology, Growth Natives Episode Description Templates feel fast, simple, and cost-effective—until they quietly become the biggest bottleneck in your business. In this episode of Growth Digger, Rahul Sindwani sits down with Sumeet Rana to unpack why companies eventually outgrow templates and why many are rebuilding their digital foundations with purpose-built web applications. From broken workflows and limited scalability to brand sameness and data lock-in, they break down where templates fail—and what custom-built solutions unlock instead. This conversation is a practical look at how strategy, technology, and growth collide when businesses scale. What You’ll Learn Why templates work early—but fail as businesses grow How templates force companies to adapt their process to tools The hidden costs of plugins, workarounds, and licensing Why scalability, integrations, and data ownership break on templates How purpose-built web apps align with real business workflows When it’s the right time to move from templates to custom solutions The long-term ROI of building systems designed for your strategy Key Takeaway Templates solve generic problems. Purpose-built applications solve your problems. If your growth depends on flexibility, integrations, and differentiation, templates will eventually hold you back. Listen If You’re Scaling beyond basic websites or landing pages Dealing with broken workflows and patchwork solutions Planning multi-product, multi-market, or mobile-first growth Tired of template limitations and rising long-term costs Exploring custom web or full-stack application development
S3 · E19
Jan 2, 2026
6:29

Beyond Content Creation: How AI Shapes Content Research, Workflow, and Distribution

Beyond Content Creation: How AI Shapes Content Research, Workflow, and Distribution Host: Taran Nanda, Founder & CEO, Growth Natives Guest: Akanksha Dass, Director of Marketing & Communications, Growth Natives Episode Description AI hasn’t replaced content creators—but it has completely reshaped how content is researched, created, optimized, and distributed. In this episode of Growth Digger, Taran Nanda sits down with Akanksha Dass to explore how AI is quietly rewiring modern content workflows. From research and structured ideation to optimization and multi-channel repurposing, this conversation breaks down what’s actually changed—and what still requires human thinking. This episode goes beyond “AI writes content” to show how high-performing teams use AI to build clarity, consistency, and authority at scale. What You’ll Learn Why traditional content strategies no longer scale How AI transforms content research and audience insight The shift from one-off publishing to content systems Why the draft is no longer the most important part How AI supports optimization beyond traditional SEO The modern AI-powered content workflow What AI really means for writers, strategists, and editors A practical comparison of old vs new content production models Key Takeaway Teams winning with AI aren’t producing more content—they’re producing smarter content. AI accelerates the process, but human insight still defines the message. Listen If You’re A marketer building scalable content programs A content leader navigating AI adoption A writer or strategist adapting to modern workflows A growth team focused on clarity, consistency, and impact
S3 · E18
Dec 30, 2025
6:14

Understanding Einstein AI: Salesforce’s AI-Powered Platform for Smarter Business Solutions

Understanding Einstein AI: Salesforce’s AI-Powered Platform for Smarter Business Solutions Host: Taran Nandha, Founder & CEO – Growth Natives Guest: Tushar Misri, Practice Head – Salesforce, Growth Natives AI is no longer a “future concept”—it’s already transforming how businesses operate. In this episode of Growth Digger, host Taran Nandha sits down with Salesforce expert Tushar Misri to unpack Einstein AI, Salesforce’s native AI platform that’s helping organizations turn overwhelming amounts of CRM data into real-time insights, predictions, and smarter decisions. From making sense of billions of data points to embedding intelligence directly inside Sales, Service, and Marketing workflows, this conversation breaks down why Einstein AI has become such a critical tool for modern businesses—and why it’s far more accessible than most people think. What you’ll learn in this episode: What makes Einstein AI different from standalone AI tools How Salesforce uses AI to deliver billions of predictions every day The shift from traditional, passive CRMs to proactive, AI-powered systems Einstein AI’s core capabilities: predictive analytics, machine learning, and NLP Real-world use cases across retail, financial services, healthcare, manufacturing, and B2B sales & marketing Common challenges in AI adoption—from data quality to user adoption—and how to overcome them A clear, 9-step roadmap to get started with Einstein AI and scale it across your organization Key takeaway: Einstein AI isn’t about replacing people—it’s about empowering teams with intelligence, automation, and insights that help them work smarter and make better decisions. If you’re exploring Salesforce AI, looking to modernize your CRM, or trying to unlock more value from your data, this episode offers a practical and business-friendly guide to getting started. 🎧 Tune in to Growth Digger and discover how Einstein AI is turning CRM data into a true growth engine.
S3 · E17
Dec 22, 2025
7:46
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