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Podcast episode

Episode 175: Tejas Manohar, co-CEO of Hightouch, on the Company's Giant Fundraise, Agentic Ads, and LiveRamp

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TL;DR

Hightouch co-CEO Tejas Manohar makes the case that his "composable CDP" (a marketing data platform that sits on top of a company's existing cloud data warehouse rather than copying all the data into a new silo) is now a credible drop-in replacement for LiveRamp's core onboarding business — newly relevant because LiveRamp is being acquired by Publicis. The episode also unpacks Hightouch's pivot to "agentic" marketing (AI agents that plan, build, and launch campaigns), plus a fast-moving news round on AppLovin and Meta launching consumer apps, X's newly disclosed ad revenue, ChatGPT ads data, political "clipping," and an FTC settlement that finally debunks the "your phone is listening" myth. Listen if you care about identity/onboarding alternatives to LiveRamp, CDP economics, or how AI agents plug into ad activation.

What was covered

  • Hightouch's $150M Series D at a $2.75B valuation, led by Goldman Sachs and Bain Capital Ventures (closed roughly weeks before recording), following an $80M round last year. Manohar argues the "SaaS apocalypse" (the idea that companies will vibe-code their own software instead of buying it) is overblown for hardcore infrastructure.
  • What a composable CDP is: rather than forcing all customer data into a new vendor database, Hightouch sits on top of warehouses companies already use (Snowflake, Databricks, BigQuery, Azure) and acts as the "activation layer" that pushes targeted audiences out to ad, email, retail-media, and web channels via ~300 integrations.
  • Hightouch as a LiveRamp replacement: Manohar says Hightouch is a "plug-and-play replacement for the core LiveRamp technology" — identity onboarding (translating hashed emails, phone numbers, device IDs into cookies/IDs and sending them to ad platforms). He claims it can match or beat LiveRamp performance, having assembled an "equivalent graph" from best-of-breed identity partners since LiveRamp's cookie-based RampID has decayed.
  • Agentic marketing product: Hightouch is building AI agents for end-to-end performance marketing and lifecycle/CRM marketing — planning, building creative (with a visual editor, Figma integration, approval flows, DCO/DPA), launching across channels, and reporting. Differentiators claimed: an "enterprise marketing context layer" (data converted to embeddings/guardrails for agents), broad enterprise channel integrations (Meta, Google, Amazon Ads, The Trade Desk, Roku, Samsung, LG), and a forward-deployed creative/performance team.
  • AppLovin and Meta both launched consumer apps: AppLovin launched "Gist," a social app, with product/engineering chief Giovanni G. citing "exclusive monetizable traffic." Meta launched "Forums," a Reddit-style clone built off Facebook Groups. Discussion framed both as plays for ad inventory and/or LLM training data.
  • X ad revenue disclosed via the SpaceX/xAI S-1: X did ~$1.8B in ad revenue last year — down 59% from 2021 (its last year as Twitter pre-Musk) but up 77% year-over-year. Hosts debate whether xAI/Grok's consumer adoption plus X's social graph gives it an ad-targeting edge OpenAI lacks.
  • ChatGPT ads data from Similarweb: claims that 46% of users saw an ad starting from a query with no commercial intent; 83% of ad-triggering queries wouldn't have triggered a Google Shopping ad; 73% continued the conversation after seeing an ad; average CTR ~0.68% (between display and search), with one campaign hitting 5.4%. Hightouch "recently started integrating with OpenAI" as data/identity APIs roll out in early access.
  • "Clipping" in political campaigns: Tom Steyer's California governor campaign reportedly paid $400,000 to influencer Carlos Eduardo Espina and $25,000 to "Quinton Quarantino," with disclosure concerns and no human-traffic verification on clip distribution. Also covered: FTC required Cox Media Group and two other firms to pay ~$1M to settle "active listening" deception charges (vindicating the "your phone isn't listening" position); and a $10M raise by CTV company Elyzen (stylized "All Eyes On") from Sir Martin Sorrell's S4 Capital.

Notable claims & predictions

  • "We are a plug-and-play replacement for the core LiveRamp technology that they came to market with… we can achieve equivalent, or sometimes even better performance than LiveRamp." — Tejas Manohar
  • "The SaaS apocalypse is overblown… companies still want to buy or rent software companies that can come in and solve business problems. But the stakes are higher… they expect you to have a forward deployed team." — Tejas Manohar
  • "I actually believe that we have… I'll just call it AGI. I think we have close enough to general intelligence at this point. The problem in enterprises is it doesn't have the right context to succeed." — Tejas Manohar
  • "I don't believe MCPs and APIs just being given to agents is enough… if all you give your agent is a Meta API and say go figure it out, an engineer can barely do that today." — Tejas Manohar (arguing for structured ETL/embeddings over raw agent-to-API access)
  • On X + xAI: if Grok gets consumer adoption, the synergy of an existing ad platform plus X's social graph and user data "could be… an advantage open AI doesn't have." — Ari Paparo (paraphrasing tip sheet writer John Ebert)
  • On ChatGPT ads: "conversational intent" lets advertisers tell where a user is in the funnel in a way Google search keywords can't; "I'm super bullish on ads" in this context. — Ari Paparo
  • On the "active listening" myth: Cox Media Group wasn't actually listening to phones; the FTC settl

Full analysis

Decision Council — Briefing Mode

Step 1 — Frame

The load-bearing story here isn't the funding round — it's the claim that a warehouse-native data tool can now drop in and replace LiveRamp's identity onboarding, and that it's doing so precisely as LiveRamp gets absorbed into Publicis (an agency holding company). The episode's secondary thread — AI agents that run campaigns end to end — points at where the activation layer is heading. The AppLovin/Meta/X/ChatGPT-ads items are texture, not signal.

So the real question for an ad-tech operator: Is identity onboarding — translating a publisher's or advertiser's hashed emails and phone numbers into ad-platform IDs — becoming a commodity feature that sits on top of the cloud warehouse you already pay for, rather than a standalone product you buy from a specialist?

  • Reversibility: Type 2 for any one buyer (you can switch onboarding vendors). Type 1 for the market structure — once onboarding collapses into the warehouse, the standalone-vendor business model doesn't come back.
  • What's actually being decided: Where the "activation layer" — the thing that pushes audiences out to Meta, Google, Amazon, Trade Desk, CTV — lives. In a specialist vendor, or as a thin app on top of Snowflake/Databricks.
  • Forcing function: The LiveRamp/Publicis deal. Every LiveRamp customer who is also a Publicis competitor now has a reason to look for an exit. That's the opening Hightouch is sprinting through.

Step 2 — The Council

The Skeptic The load-bearing claim is "equivalent or better performance than LiveRamp." That's marketing on a podcast, not a benchmark. LiveRamp's moat was never the code — it was the offline-to-online graph built from years of CRM data partnerships and the reach of being everywhere on the buy and sell side. Saying you "assembled an equivalent graph from best-of-breed partners" means you're renting match data from the same handful of identity sources everyone rents from. That's not a moat, that's a reseller agreement. Plainly: replacing the plumbing is easy; replacing the address book of who-matches-to-whom is the hard part, and that's mostly licensed, not built.

The Operator Tuesday morning, the appeal is real: if your customer data already lives in Snowflake, not copying it into yet another vendor silo saves a genuine integration headache and a data-governance fight with your security team. That's why warehouse-native tools win deals. But "300 integrations" and "agentic campaign launch" break at the edges — every ad platform's API has quirks, throttling, and audience-match minimums. The 90-day surprise: the forward-deployed services team Manohar brags about is there because the self-serve product can't actually run unattended. You're buying consulting dressed as software.

The CFO Watch the economics, not the valuation. $2.75B on roughly weeks-old revenue means the price assumes Hightouch eats a big chunk of the onboarding and CDP market — that's a bet, not a fact. For buyers, the math is what matters: onboarding as a feature on top of warehouse spend you already committed to is cheaper than a standalone six-figure LiveRamp contract. That's the squeeze. Plainly: the cost of moving customer data around is collapsing toward the cost of the cloud bill you already pay. Margin in standalone identity onboarding is heading down across the board.

The Long-Term Thinker Three years out, this episode looks like a marker for two convergences. First, the CDP, the identity onboarder, and the activation tool merge into one warehouse-resident layer — bad news for any vendor whose only job is one of those three. Second, the "agent needs structured context, not raw API access" argument is the durable insight. Whoever owns the context layer — the curated, governed, embedded version of a company's data that agents can safely act on — owns the next decade of ad activation. That's a more defensible position than onboarding ever was, and it's where the real fight will be.


Step 3 — Tensions

  1. Skeptic vs. Operator on the moat. Is warehouse-native onboarding a real LiveRamp killer, or a thin layer over the same rented match data, propped up by a services team? If it's mostly rented graph + consulting, LiveRamp-inside-Publicis can compete on the same terms.

  2. CFO vs. Long-Term Thinker on where value goes. The CFO sees onboarding margins compressing toward zero — a race to the bottom. The Long-Term Thinker says the money simply moves upstream to the "context layer" for AI agents. Both can be true: the old business commoditizes while a new one forms on top.

  3. The "AGI is here, context is the problem" claim. If Manohar is right that the models are good enough and the only gap is enterprise context, then the winner is whoever controls the data plumbing — which conveniently is him. If he's wrong, agentic campaign management stays a demo that needs humans to babysit it, and the moat reverts to graph and reach.


Step 4 — Synthesis

What this hinges on:

  • Whether identity onboarding is genuinely commoditizing (it is — warehouse-native delivery plus a decaying cookie-based RampID makes the standalone product less special) or whether LiveRamp's reach and partnerships still matter more than the tech (they do, for now, especially inside Publicis's media machine).
  • Whether the value is migrating to the agent context layer — the answer the whole episode keeps circling back to.

Which way the council leans: Toward "the standalone onboarding business is structurally weakening, and the next prize is the governed data layer that feeds AI agents." The Publicis acquisition accelerates this by giving every rival agency and independent a reason to find a LiveRamp alternative.

What this means for the reader, by seat:

  • Identity/measurement vendors (LiveRamp peers, the graph providers): your standalone onboarding line is under real pressure. Reposition around the context-and-governance layer or risk becoming a wholesale match-data supplier to the warehouse apps that own the customer.
  • Publishers and advertisers: you have more leverage and more exit options than a year ago. If your data is already in a cloud warehouse, pressure-test whether you still need a standalone onboarder — but demand a head-to-head match-rate test before believing the "equivalent or better" pitch.
  • Agencies (non-Publicis): the LiveRamp deal is a conflict-of-interest gift to Hightouch and anyone like it. Expect a wave of "neutral alternative to a competitor-owned vendor" pitches.
  • DSPs/SSPs and CTV platforms: the activation layer consolidating into the warehouse means your integration partner list shrinks toward whoever owns that layer. Make sure you're a first-class integration, not an afterthought.

What to verify before acting:

  1. Get an actual match-rate and addressable-reach test against LiveRamp on your own data. The performance claim is unproven.
  2. Find out how much of the "equivalent graph" is rented from third parties — and whether those licenses are exclusive or available to everyone (they're probably available to everyone, which kills the moat).
  3. Separate the software from the forward-deployed services. If the agentic product only works with a vendor team in the room, you're buying a managed service, and you should price and staff accordingly.

My view: The funding round is noise; the signal is that onboarding is becoming a warehouse feature and the durable prize is the governed context layer for AI agents. Treat the LiveRamp-replacement claim as a credible threat to the incumbent but an unproven product — useful as negotiating leverage today, not as a rip-and-replace decision yet. Low individual-deal risk, high market-structure significance.

What did we miss? Is there a persona we should add for this specific decision? A General Counsel lens might be worth adding — warehouse-native activation and "embed all your customer data for agents to act on" raises real privacy, data-residency, and consent-propagation questions, especially under state privacy laws and for any data crossing into AI-agent workflows.

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