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

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

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!

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!

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

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

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

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.

AI Meets HubSpot: The Real Playbook for Chatbot Integration in 2025

Host: Taran Nandha, Founder & CEO – Growth Natives Guest: Gaurav Rajput, Sr. Director of MarTech – Growth Natives

AI chatbots are everywhere—but most still fall short of delivering real business impact. In this episode of Growth Digger, host Taran Nandha is joined by Gaurav Rajput to break down what actually makes AI chatbots work in B2B: deep, thoughtful integration with HubSpot.

This conversation goes beyond surface-level automation to explore how conversational AI, when connected to CRM data, can qualify leads, personalize engagement, streamline operations, and drive measurable revenue. Together, Taran and Gaurav unpack a practical, no-fluff playbook for chatbot integration in 2025—built for teams that want results, not just shiny tools.

What you’ll learn in this episode:

• Why AI chatbots fail without CRM integration—and how HubSpot changes the game
• How integrated chatbots deliver truly contextual, 24/7 customer engagement
• The real business benefits of chatbot + HubSpot integration: lead management, smarter data usage, and cost savings
• A step-by-step framework to implement AI chatbots the right way
• How to define clear chatbot objectives before choosing tools
• Best practices for chatbot tone, workflows, and user experience
• Why testing, optimization, and feedback loops are critical to long-term success
• When to automate—and when to bring in human teams

Key takeaway: AI chatbots aren’t just support tools anymore—they’re becoming core growth infrastructure. When integrated with HubSpot, they stop being “floating islands” and start functioning as intelligent, revenue-driving systems.

If you’re looking to scale conversations, improve data accuracy, and future-proof your customer experience strategy, this episode delivers a clear, actionable roadmap.

🎧 Tune in to Growth Digger and learn how to turn AI chatbots into a real growth engine in 2025 and beyond.

Intelligence in the Feed: How AI Curates, Personalizes, and Publishes Content at Scale

Host: Akanksha Dass, Director of Marketing & Communications – Growth Natives Guest: Abeer Aulakh, Director of Marketing & Communications – DiGGrowth

Your feed isn’t random—and this episode explains why. In this edition of Growth Digger, host Akanksha Dass sits down with Abeer Aulakh to unpack how AI-powered feed intelligence is reshaping the way content is curated, personalized, and published at scale.

From LinkedIn timelines and email inboxes to brand blogs and campaigns, AI is quietly deciding what shows up, when it shows up, and in what format. Akanksha and Abeer break down how intelligent feeds work, why relevance has become the most valuable marketing currency, and how generative AI enables brands to build self-optimizing content ecosystems without burning out their teams.

What you’ll learn in this episode:

• Why your feed feels “psychic” and how AI curates content in real time
• The shift from chronological feeds to personalized content multiverses
• The three pillars of intelligent feeds: Curation, Personalization, and Publication
• How generative AI turns one idea into dozens of assets across channels
• Real-world examples of AI-driven content for social and email marketing
• The limitations of AI—and why humans are still essential for strategy and soul
• The metrics that actually matter when measuring feed intelligence success

Key takeaway: AI does the heavy lifting. Humans bring the creativity, context, and brand soul.

If you’re a marketer looking to scale content, increase relevance, and stay visible in an algorithm-driven world, this episode is a must-listen.

🎧 Tune in, share with your team, and don’t be surprised if your feed recommends the next episode automatically.