Advertise on podcast: Brandformance

Sundar, a former Uber marketer and consultant helping CMOs defend marketing ROI, joins this week's episode of Brandformance with Pranav Piyush to break down why even teams with great measurement still struggle to win over their CFO, and how to close the gap between evidence and narrative. With a degree in finance, a CFA, and years leading marketing, Sundar sits on both sides of the table. His take: CFOs aren't afraid of risk. They're afraid of surprises. In this episode, we cover: Evidence vs. Narrative: Why an incrementality test is the evidence, not the story, and why marketers need to tell the story finance wants to hear.The Four Risks of Reallocating Budget: Leaving a channel you thought was working, betting on unproven channels, the time horizon, and the one marketers forget: keeping the CFO in the loop.Test and Learn Without Getting Burned: Setting incremental hurdles and leading indicators so finance sees progress before revenue shows up.From Channel to P&L: Translating channel-level results from MMM and incrementality tests into what the CFO actually sees across the business.Lag, Payback, and Cash: Why marketing impact takes quarters to show up, and why contribution margin and cash timing matter to finance.Swing Bigger: Why you should test on your biggest channel, not your smallest.The Trouble With Benchmarks: Why marketing benchmarks like a 3:1 LTV to CAC can replace critical thinking, and when finance benchmarks do make sense.Who Owns the Story: Why translating marketing impact for finance belongs to the CMO.Follow Pranav: LinkedIn: https://www.linkedin.com/in/pranavp/X: https://x.com/pranavpiyushInstagram: https://www.instagram.com/pranavmktg/TikTok: https://www.tiktok.com/@pranavtalkWebsite: https://www.pranavpiyush.com/Follow Paramark: YouTube: https://www.youtube.com/@ParamarkHQX: https://x.com/paramark_hqWebsite: https://paramark.com/Follow Sundar:  LinkedIn: https://www.linkedin.com/in/sswamina3 Chapters: 00:00 Intro 01:20 Why Great Measurement Still Fails With the CFO 01:50 Evidence vs. Narrative 03:07 The Four Risks of Reallocating Budget 08:55 Causal Evidence vs. Hypotheses 10:26 Test and Learn Without Getting Burned 13:40 Turning Leading Indicators Into P&L Impact 16:55 From Channel Results to the Full P&L 20:04 Lag, Payback, and Cash Timing 23:09 Swing Bigger: Test Your Biggest Channel 25:09 The Trouble With Benchmarks 29:11 Who Should Own the Story 31:22 What CMOs Are Asking Sundar Today

David Fallarme, VP of Marketing at Owner.com, joins this week's episode of Brandformance with Pranav Piyush to break down how Owner.com built a brand and organic media machine to diversify away from paid social, and why it all started with a decision, not an attribution model. David joined Owner.com as a fractional advisor when the company was around 60 people. Today it has 700+ employees and just announced its Series D. In this episode, we cover: Marketing to Restaurant Owners: Why blue-collar, non-tech buyers decide on vibes and what their local community says, not white papers and webinars, and why their phone number is right on their Google Business Profile.Sweating the Details: How high-quality case study videos, with the restaurant owner as the star, helped convince one of Owner.com's investors.AI for Small Businesses: Why restaurant owners embrace AI despite the broader anti-AI sentiment: thin margins mean they'll take every advantage they can get.Organic as a Testing Ground for Paid: How a business breakdown of In-N-Out's growth hit 200,000 views, and why organic hits can become top performers on paid.The Content Engine: Why video editors are the scarcest resource in marketing, and what it took to recruit media talent from the MrBeast and Hormozi world.Brand Is a Decision: Why leadership has to treat brand as an imperative, why a cold start takes at least two quarters, and how 20–30% of early deals traced back to organic channels.Hiring for Taste: David's interview method, from a 30-minute "vibes" chat to a design-crit review of a candidate's five best pieces of work.AI Without Losing Quality: Hiring people with strong editorial taste, and building a shared context layer of positioning, voice and tone underneath everyone's AI work.Follow David: LinkedIn: https://www.linkedin.com/in/dfallarme/ Website: https://owner.com/Follow Pranav: LinkedIn: https://www.linkedin.com/in/pranavp/ X: https://x.com/pranavpiyushInstagram: https://www.instagram.com/pranavmktg/TikTok: https://www.tiktok.com/@pranavtalkWebsite: https://www.pranavpiyush.com/Follow Paramark: YouTube: https://www.youtube.com/@ParamarkHQ X: https://x.com/paramark_hqWebsite: https://paramark.com/ Chapters: 00:00 Intro 01:11 Why David Joined Owner.com 02:40 How Owner.com's Marketing Team Is Structured 04:30 Marketing to Restaurant Owners 06:26 Sweating the Details: Case Study Videos 07:25 AI for Small Businesses 08:38 The Vision Beyond Restaurants 10:28 Organic as a Testing Ground for Paid 13:07 The Content Engine 15:46 Hiring From MrBeast's World 16:54 Brand Is a Decision 19:47 Hiring for Taste 22:03 Being Terminally Online 24:22 AI Without Losing Quality 25:39 Campaigns David Admires 27:20 Fire Round: Marketing Myths & Dream Campaigns

Arthur Leopold, CEO and Co-founder of Agentio, joins this week’s episode of Brandformance with Pranav Piyush to break down why the world’s largest advertisers are moving away from traditional digital ads and going all-in on creator media. With half of all digital attention now focused on creator content, legacy marketing plans are becoming increasingly difficult to defend in the boardroom. In this episode, we cover: • The Trust Deficit: Why consumers trust creators 70% more than traditional brands, and how industry giants like Unilever are aiming to shift 50% of their marketing spend directly to creators. • Creators vs. Influencers: The fundamental difference between legacy, one-off #ad campaigns and partnering with niche authorities who act as effective micro-creative agencies. • Partnership Ad Efficiency: A look at Meta’s internal data showing that dual-handle partnership ads deliver 19% better efficiency compared to business-as-usual brand ads. • YouTube Integrations: Why 90-second, host-read YouTube integrations remain the most effective and underpriced ad inventory on the market, driving 85% to 87% view-through rates. • 0-to-1 Strategy for Brands: The importance of setting up strict measurement infrastructure, automating the buying process to achieve scale, and targeting mid-tier creators rather than nano-influencers or mega-stars like MrBeast. • Unexpected Niches: How algorithmic platforms help brands discover highly converting audiences outside their core demographic, such as a men's grooming brand finding top-tier performance by sponsoring a Maine lobster fisherman. Follow Arthur: • Instagram: https://www.instagram.com/artiegrams/ • Website: https://www.agentio.com/ Follow Pranav: • X: https://x.com/pranavpiyush • Instagram: https://www.instagram.com/pranavmktg/ • TikTok: https://www.tiktok.com/@pranavtalk • Website: https://www.pranavpiyush.com/ Follow Paramark: • YouTube: https://www.youtube.com/ ⁨@ParamarkHQ⁩   • X: https://x.com/paramark_hq • Website: https://paramark.com/ Chapters: 00:00 - Introduction & The Power of Creator Trust 01:40 - Agentio’s Growth & Unilever’s 50% Shift to Creators 04:14 - Why Legacy Advertising is Losing to Creator Media 09:39 - AI-Generated Content vs. Authentic Creator Trust 13:18 - The Evolution from "Influencer" to "Creator" 16:24 - Why Meta Partnership Ads Outperform Standard Ads 19:32 - Step-by-Step: Taking a Brand from 0 to 1 in Creator Marketing 25:08 - Solving Data Friction & Building Trust with Creators 28:03 - The Arbitrage Opportunity in YouTube Integrations 31:36 - How to Price Creator Media: CPMs vs. Ad Spend 35:17 - The Future of the Creator Tech Ecosystem 38:42 - Closing Thoughts & Where to Find Agentio

Why do most A/B tests fail to produce any meaningful improvement—and what separates a useful experiment from another inconclusive result? In this episode of Brandformance, Pranav Piyush speaks with Casey Hill, CMO at Do What Works, about what thousands of real-world website experiments reveal about conversion rate optimization. They explore: Why most A/B test variants fail to move the needle The three checks to make before launching an experiment Why specific messaging consistently beats generic benefits How reassurance copy can remove conversion barriers What marketers misunderstand about benchmarks and confidence Why customer logos alone may no longer build trust How to position AI products without relying on empty language Whether websites still matter in a world of AI agents and LLMs For CMOs, growth leaders and B2B marketers looking to make smarter website and experimentation decisions, this conversation offers practical lessons grounded in actual testing data.

How do you change what people think about an established brand—without throwing away everything that made it valuable? In this episode, Pranay Piyush sits down with Meiling Tan to unpack lessons from two very different brand challenges: helping Care.com evolve beyond childcare and building the Waymo brand when self-driving cars still sounded like science fiction. Meiling shares why the best brand transformations go far beyond a new logo or campaign. They require alignment across product, customer experience, communications, leadership, and marketing. They discuss how Care.com repositioned itself from a childcare utility to a broader caregiving brand—and went on to deliver its first quarter of new membership growth in nearly four years. Meiling also takes us inside the early days of Waymo, explaining how the team built trust in self-driving technology by focusing on the human problem it could solve. Plus, they explore why brand and product are inseparable in the customer's mind, how to get CEOs and CFOs to invest in brand, why leading indicators still matter, and the marketing experiment Meiling would run with an unlimited budget. For CMOs, brand leaders, and marketers trying to connect brand building to real business growth, this episode is packed with practical lessons.

Has performance marketing reached its limits? In this episode, Pranay Piyush sits down with Peter Sengenberger, who has spent more than 25 years in direct response, infomercials, consumer marketing, and B2B demand generation. Together they explore why today's best marketers are looking beyond digital channels to build long-term brand growth.

In this Office Hours episode, Pranay Piyush sits down with Raunak Kumar to discuss how he built incrementality testing and marketing measurement systems at companies like Stripe and Intercom. Together they cover: How to build an in-house incrementality program Choosing the right success metrics for MMM Why B2B marketing measurement is different from B2C Geo holdout experiments and what they revealed How to earn executive buy-in for experimentation Common mistakes when building MMM models Why uncertainty matters more than precision When to build vs. buy a measurement platform Whether you're building your first MMM model or scaling an experimentation program, this episode is packed with practical advice for marketing leaders and analytics teams.

In this episode, Kristin Fracchia — Head of Marketing at Gamma, the AI presentation and website platform with nearly 100 million users — breaks down what it takes to run marketing inside a hypergrowth AI startup where the playbooks expire every quarter. She explains why an AI, product-led company still needs salespeople and human trust, how she staffs a ten-person team of generalists who each spike on brand, growth, or product marketing, and why she plans in a “narrative arc” rather than annual plans. Kristin digs into Gamma's creator engine — 300 to 400 influencer posts a month — and the thinking behind stunts like the nation's first large-scale drone-and-projection show in San Francisco, planned in five weeks. She makes the case that doing things faster with AI isn't the point (the job to be done is), and that the real edge is soul,taste, and solving real problems. She closes on the trait she now hires for above all else: plasticity.

In this episode, Pranay Piyush and Sundar Swaminathan break down the most important concepts behind marketing mix modeling (MMM) and incrementality testing in plain English. They explain:  What baseline and incremental sales really mean  How control variables affect marketing models  Adstock, carryover, and why advertising has lasting effects  Saturation curves and diminishing returns  Bayesian vs. frequentist statistics  Why statistical significance isn't as objective as most marketers think  Multicollinearity, endogeneity, and other commonly misunderstood terms Whether you're a CMO, VP of Marketing, growth leader, or performance marketer, this episode will help you understand the language behind better marketing decisions.

In this episode, Tye DeGrange — founder and CEO of Round Barn Labs — makes the case that affiliate and partner marketing, done right, is a trust-building channel rather than the “bottom feeder” its reputation suggests. He explains why the modern trust gap creates an opening for authentic third-party partners, why affiliate is better understood as a multi-channel lever with 15+ partner types than a single channel, and how incentives quietly determine outcomes. Tye digs into the measurement problems that plague the channel — why server-to-server tracking beats pixels, why last-click rewards the wrong partners, and how to feed impression data into marketing mix models. He shares standout campaigns (eBay Motors’ multi-year Bring a Trailer build; an 81% traffic lift from a single mid-tier YouTube creator for Atlassian) and the misconceptions that keep brands from managing affiliate like the real channel it is. It's a practical tour of a channel most performance marketers underrate.

Can AI accurately predict marketing incrementality without running a randomized controlled trial? In this episode, Pranay Piyush and Sundar Swaminathan break down a new marketing science paper introducing Predicted Incrementality by Experimentation (PI) and discuss what it means for marketers, ad platforms, and measurement teams. They cover: How PI predicts incrementality using historical experiments Why the model achieved an 0.88 R² Whether AI can reduce the need for randomized controlled trials (RCTs) What this means for Meta's incremental attribution Why benchmarks can be misleading Which companies can benefit from predictive incrementality today Why RCTs remain the gold standard If you're a CMO, growth leader, marketing scientist, or performance marketer, this episode offers a practical breakdown of one of the most interesting developments in marketing measurement this year.

In this episode, Sheila Vashee — CMO of Figma and a former marketing leader at Dropbox, Opendoor and Ethos — breaks down how Figma turned its community into its most powerful marketing channel. She argues that great marketing comes down to three things: understanding your audience deeply, finding the channels that uniquely reach them, and building systems to optimize those channels. Sheila explains why brand and performance aren't opposites, how she measures both across short and long time horizons, and shares the Opendoor experiment where a brand campaign doubled market share in three months. She also gets into where AI genuinely helps marketers (and where humans still set the bar), how Figma rebuilt customer support around AI, and why she spends 30–40% of her time hands-on with the latest tools. Along the way: the CEO as the 'real CMO,' Friends of Figma's 240+ volunteer chapters, and the brand she admires most outside tech.

In this episode, Pranav Piyush sits down with Sam Allen, CEO of Iterable and former Chief Pipeline Officer at Salesforce, to discuss the evolving role of marketing leadership. They explore: Why CMOs often struggle in boardrooms The tension between short-term pipeline and long-term brand building What CEOs actually expect from marketing leaders How the best CEO-CMO relationships work Why marketing leaders must think like general managers How AI is changing hiring, org design, and leadership Why every company needs to build an AI-native culture If you're a CMO, VP Marketing, founder, CEO, or growth leader, this conversation offers a rare executive-level perspective on leadership, marketing strategy, and the future of work.

What if the biggest thing holding back your marketing team isn't budget, attribution, or data... What if it's your assumptions? In this episode, Pranav and Sundar  break down some of the most common myths in marketing measurement, experimentation, and attribution.

Meta's advertising platform has become one of the most sophisticated machine learning systems ever built. Yet most marketers still try to outsmart it. In this live Office Hours session, Andrew Faris (CEO of AJF Growth) joins Pranav Piyush to break down how modern Meta advertising actually works—and why many brands are wasting time on outdated tactics.