Humans of Martech Podcast Por Phil Gamache arte de portada

Humans of Martech

Humans of Martech

De: Phil Gamache
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Future-proofing the humans behind the tech. Follow Phil Gamache and Darrell Alfonso on their mission to help future-proof the humans behind the tech and have successful careers in the constantly expanding universe of martech.©2025 Humans of Martech Inc. Economía Exito Profesional Marketing Marketing y Ventas
Episodios
  • 187: John Saunders: Building the ultimate operating engine for a modern agency

    187: John Saunders: Building the ultimate operating engine for a modern agency
    Sep 16 2025
    What’s up everyone, today we have the pleasure of sitting down with John Saunders, VP of Product at Nova / Power Digital Marketing. Power Digital is a San Diego-based growth marketing firm. Nova is their proprietary marketing technology. (00:00) - Intro (01:15) - In This Episode (03:26) - How an Agency Operating System Reduces Silos (05:47) - Why Context Driven Analytics Replaces Dashboards (09:15) - Building a Single Source of Truth in Marketing Data (16:00) - Building an AI Cockpit Before AI Copilots (18:26) - Why Data Accuracy and Transparency Build AI Trust (28:28) - Building Internal Data Products for Agencies (34:09) - Reducing Complexity in Martech Product Development (39:16) - How To Tell If An AI Tool Is More Than A Wrapper (46:49) - How to Build Client Portals That Clients Actually Use (49:50) - Finding Happiness in Building and ExperimentationSummary: Agencies are drowning in tools, dashboards, and AI gimmicks, but John Saunders has spent years building something that actually works. Nova started as an internal fix and grew into an operating system that strips away noise, delivers context with every number, and gives AI a cockpit filled with real operational data. Along the way John learned that trust comes from accuracy, speed, and transparency, and that adoption only happens when products remove steps instead of adding them. From client portals to analytics to AI, his story shows how clarity beats complexity and why agencies that chase it finally get technology that feels like leverage instead of liability.About JohnJohn Saunders is the Vice President of Product at Power Digital Marketing. He leads strategy, UX, operations, and AI for nova, the agency’s enterprise marketing technology platform that connects with more than 2,000 integrations. Since 2021, he has grown the technology team from 2 to 40 members, delivered more than 20 production-ready applications, and developed intelligence tools that improve client retention and increase lifetime value. He has also built partnerships with Google, Meta, TikTok, and Amazon that resulted in multi-million-dollar funding and new product capabilities.Prior to his current role, John served as Vice President of Technology. He built the first applications that became the foundation of nova and improved scalable systems, API integrations, cloud performance, and automation for the firm. He previously worked as Software Development Project Manager at Internet Marketing Inc. (now REQ), and Co-Founder of Brightside Network Media, a platform that combined technical design with storytelling to highlight culture and music.John has also mentored students at the Lavin Entrepreneurship Center at San Diego State University. He guided undergraduates in UX, product strategy, and agile workflows while encouraging leadership and collaboration in a hands-on environment.How an Agency Operating System Reduces SilosAgencies are drowning in tools. CRMs handle sales, project boards track tasks, invoicing software manages billing, and analytics dashboards measure performance. Each tool may solve a specific problem, but together they create a scattered system where every team works in isolation. John Saunders has seen this problem repeat across agencies, and his solution is direct. Build a single operating system that reflects how the agency actually works rather than relying on disconnected platforms that never sync.John described Nova as that system. Instead of forcing teams to reinvent contracts or pricing every time, Nova uses a service library with set rates and guidelines. Automation handles the repetitive work, so teams spend less time drafting proposals and more time serving clients. Nova acts as a hub for the agency’s real workflows. It connects sales, operations, and delivery into one shared environment where everyone can see the same information."With an agency OS, we are trying to fix this problem where there are so many tools and platforms that people work on, and that inherently creates silos. With one system focused on operations, it provides a central spot for everybody to work from, which creates efficiency and alignment."The need for this kind of system is obvious once you look closely at agency life. Account managers keep their own spreadsheets, sales leaders adjust pricing rules on the fly, and creative teams use tools that never connect with operations. The result is misalignment, duplicated effort, and wasted hours. An operating system forces the agency to define its rules and then codify them into the platform. That way you can cut the daily noise and create repeatable workflows that scale.Agencies often assume the next SaaS subscription will solve their problems. The reality is that the core problems are internal. Building an operating system like Nova does not replace tools, it makes them work together. It creates one place where every team operates from the same playbook. That way you can reduce inefficiency, strengthen alignment, and free ...
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    54 m
  • 186: Olga Andrienko: Ex-VP at Semrush left her 35-person brand team to build AI for marketing ops

    186: Olga Andrienko: Ex-VP at Semrush left her 35-person brand team to build AI for marketing ops
    Sep 9 2025
    What’s up everyone, today we have the pleasure of sitting down with Olga Andrienko, Former VP of Marketing Ops at Semrush. (00:00) - Intro (01:24) - In This Episode (03:55) - How AI Agents Reshape Marketing Ops Roles (08:53) - How To Beat AI Imposter Syndrome And Start Using Custom GPTs (13:28) - How AI Content Agents Generate Drafts Using Internal Context (24:29) - How to Use a Risk and Reward Grid to Prioritize AI Projects (33:19) - How To Use Google Workspace To Skip AI Vendor Approvals (40:00) - How To Decide Which AI Agent to Use (46:44) - How To Build an AI-First Reflex in Marketing Ops (51:59) - AI’s Endgame: Play-to-Earn and Mandatory Human Quotas (01:03:58) - What Happens When You Optimize Your Body Like a Martech StackSummary: Olga thought she was ahead of the AI curve, but a weekend course on autonomous systems showed her she was thinking too small. She pitched a shared internal AI stack at Semrush, built systems off APIs, skipped procurement by using already-approved tools, and tracked hours saved instead of promising vague ROI. She started with the work she already knew, made it faster, and used that time to build better systems. Now she’s looking ahead, watching work blur into participation, prepping for human quotas, and making sure ops teams aren’t caught off guard while the rest of the company is still testing prompts.About OlgaOlga Andrienko spent nearly 12 years at Semrush, where she helped build one of the strongest B2B marketing brands in tech. She started by leading social media, then expanded into global marketing, eventually becoming VP of Brand and later VP of Marketing Operations. She helped guide the company through its IPO, launched brand campaigns that drove massive reach, and scaled AI systems that saved her teams hundreds of hours. Most recently, she built out a marketing and AI ops function from scratch, automating reporting, content feedback, and influencer analytics across the org. Recently, Olga announced she was leaving Semrush to go out on her own. She’s now building a marketing SaaS product while advising companies on how to use AI agents to rethink marketing operations from the inside out.How AI Agents Reshape Marketing Ops RolesOlga had already logged countless hours with Claude and ChatGPT. She was building chatbots, fine-tuning prompts, and staying sharp on every update. Then she joined a weekend course on agent-based AI. At first, it felt like overkill. By the end of day two, she had completely changed direction. That course forced her to realize she had been spending time in the shallow end. Agent AI wasn’t just a smarter assistant. It was a structural overhaul. It changed what could be automated and who was needed to do it.Agent AI builds systems instead of just responding to inputs. Olga described a clean divide between tools that help you finish tasks faster and agents that actually run the tasks for you. How agent AI differs from task-level tools:Traditional tools require manual input for each useAgent systems operate autonomously and initiate actionsTools accelerate individual workAgents orchestrate end-to-end processesTools help you move fasterAgents help you step away entirelyShe saw use cases stacking up that didn’t fit inside marketing’s current playbook. Systems could now operate without manual checkpoints. Processes that once relied on operators could be built into fully autonomous loops.“I went into panic mode. Even with our tech stack at Semrush, I realized we were behind. Every company is behind.”The realization came with a cost model. Internal adoption of Claude and ChatGPT was rising fast. Olga noticed growing subscription bills across teams, with everyone spinning up individual accounts. She ran the numbers and saw the future expense curve. Giving each person their own sandbox didn’t scale. What made sense was building shared tools through APIs, designed to solve repeatable tasks. That way you can maintain quality, cut costs, and still give everyone access to powerful AI systems.Timing mattered. Olga was coming off a quarter where she had high visibility, internal trust, and a direct line to leadership. Instead of waiting for AI priorities to come down from the top, she used that leverage to move. She pitched a new team and made the case for shifting from brand to ops. She had technical interest, political capital, and an urgent belief that velocity mattered more than perfection.Key takeaway: Marketing ops leaders are uniquely positioned to build agent-level systems that scale across teams. Instead of waiting for strategy teams to greenlight AI plans, use cost data to make the case for shared infrastructure. Build with APIs, not individual tool access. Push for automation at the system level, not just task-level assistance. If you understand the workflows, know the tools, and already have trust inside the org, you are the one who should be building what comes next.How To Beat AI Imposter Syndrome And Start Using Custom ...
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    1 h y 8 m
  • 185: Jonathan Kazarian: Platforms vs point solutions and the marketing operator’s dilemma

    185: Jonathan Kazarian: Platforms vs point solutions and the marketing operator’s dilemma
    Sep 2 2025
    What’s up everyone, today we have the pleasure of sitting down with Jonathan Kazarian, Founder & CEO of Accelevents.(00:00) - Intro (01:35) - In This Episode (03:41) - Are Point Solutions Actually a Distraction for Marketing Teams? (09:32) - Data Models Can Decide Platforms or Point Solutions (14:20) - Contact Based Pricing Skews Platform Versus Point Solution Costs (19:44) - Integration Depth Can Decide Platforms Versus Point Solutions (31:32) - Point Solutions Provide Faster and Smarter Support Than Platforms (37:28) - Documentation Shapes Point Solution Stacks (42:01) - How to Manage Shiny Object Syndrome in Marketing Ops (49:35) - A Founder's Admiration for Marketing Operators (54:42) - Why Continuous Growth Keeps Founders BalancedSummary: Jonathan framed point solutions as late-night distractions that add baggage, while Phil argued they solve real constraints platforms can’t touch, like global routing or multilingual campaigns. Darrell pulled the lens to data models, showing how shared schemas keep stacks clean but warehouse-native teams lean on composability for speed and control. Money made the tradeoffs clear when Phil cut HubSpot costs from $150k to $70k with Ghost, ConvertFlow, and Zapier, and Jonathan countered that the problem was platform fit, not price alone. Support stories added texture, with Phil praising startups that fix issues in Slack within hours and Jonathan noting how urgency and empathy thrive in smaller teams. The thread ran through every topic: platforms provide coherence and stability, point solutions unlock lift when constraints demand it, and the operator’s job is knowing which moment they are in.About JonathanJonathan Kazarian is the Founder & CEO of Accelevents, an all-in-one event management platform trusted by over 12,500 organizations worldwide. Since launching in 2015, he has led the company’s growth into a leader in powering in-person, virtual, and hybrid events with enterprise-grade features and 24/7 customer support. Before Accelevents, Jonathan worked in investment management and business development at Windham Labs and Windham Capital, where he supported strategy and client relationships across $1.5B in global assets. Based in Miami, he’s passionate about building technology that makes life easier for event organizers.Are Point Solutions Actually a Distraction for Marketing Teams?We all know the cycle of startups and enterprise. Point tools surge to fix sharp pains, a small group wins, platforms acquire them, founders spin out, and the next crop floods your feed. Jonathan thinks that those shiny tools pull teams off the work that actually moves numbers. He describes a scene every operator recognizes, the glow of a laptop at 3 a.m. and a to-do list that did not get shorter by sunrise.“I will see something, get excited about it, and then I am up until 3 a.m. playing with it. It distracts me from the things that actually matter.”Jonathan sets a firm bar for focus. Ship on a platform first, then layer selectively when a real constraint shows up. He treats events as a pillar beside CRM and marketing automation, so his platform must deliver value on day one without a four-tool puzzle. He stays explicit about the work that pays the bills:Tighten positioning so buyers understand you in one scroll.Communicate with customers in their language, not vendor speak.Make the core stack usable for sales, finance, and ops, not only for marketing.That way you can add niche tools later without freezing adoption while integrations sprawl.Phil takes the other corner and argues for composability with lived examples. He respects HubSpot and has shipped plenty on it, but real constraints demand specialists. Example: territory routing across pooled rep availability needs a product built for that job, which is why RevenueHero exists. Example: global email collaboration with dozens of languages and brand guardrails needs serious template control, which is why Knak clears roadblocks. Phil speaks to the operator who needs real lift:Match routing logic to the sales org rather than bending the org to the tool.Scale content production with permissions, templates, and translation workflows that teams actually follow.“I have built stacks that blended platform basics with pointed upgrades for specific constraints, and those upgrades paid off when growth demanded it.”Jonathan agrees on the destination, then anchors the sequence. Buy, go live, and prove value within weeks. Add point tools only when a named constraint blocks revenue or customer experience. Keep the stack boring where it should be boring. Run a simple playbook that your team can execute:Stand up your platform baseline and drive daily use from sales and marketing.Write down the first constraint that limits revenue or adoption.Choose one specialist that removes that constraint end to end.Set a 14-day integration target with one success metric tied to pipeline or retention.Move to the next constraint when the metric ...
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    58 m
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