Podcast episode
Precision at Scale: Rethinking Data, AI, and Consumer Control with Alex Boras
agency ai-in-adtech identity measurement programmatic
TL;DR
A Marketecture Live conversation between Alex Boras (President of Bliss, T-Mobile's in-house omnichannel DSP) and Crissi Cupak (Head of Product at PMG) about the move away from one-to-one targeting and last-touch attribution toward cohort-based targeting, "digital twin" audience planning, and brand-equity measurement models. It's a high-level, thesis-driven discussion (light on hard numbers) most useful for agency and DSP operators rethinking how they target and measure in a consumer-control, post-cookie environment.
What was covered
- T-Mobile's ad business via Bliss. Boras frames Bliss as T-Mobile Advertising's in-house omnichannel DSP (software for buying ads across channels) and "the exclusive home" for T-Mobile's first-party data, with a single activation route.
- Product leadership inside agencies. Cupak is PMG's first-ever Head of Product (after ~2 years; ~20 in ad tech). Her thesis: agencies must build proprietary tech to differentiate and survive rather than relying on third-party platforms. Notes PMG's CEO was an engineer whose first two hires were engineers.
- Data-to-intelligence framing. Both stress "garbage in, garbage out" for AI models — clean, validated first-party data is the prerequisite. PMG runs data through three lenses: strategy/discovery, signals, and decisioning, using first-party data more for insight than direct activation.
- Cohort over individual ID. Both argue one-to-one ID targeting is fading. Bliss validates the T-Mobile device dataset as a seed population, projects it locally, then rolls up nationally into cohorts findable across the programmatic ecosystem.
- "Digital twin" audience planning. PMG's "Audience Planner" builds a live, billions-of-data-points proxy of a target consumer — what media they consume, what they shop for, how they map to Amazon DSP, TikTok, Snapchat, which influencers they follow — refreshed weekly/monthly.
- Device proliferation. Boras cites devices per household rising from 7 to 17 over the past decade, making it "impossible" for a brand to map all devices to one person — an argument for outsourcing identity to data partners (telcos, card networks).
- Death of cookie attribution / new measurement model. Cupak says digital breadcrumbs are declining (and questions whether they ever truly worked). PMG is building a "brand equity model" using mid-funnel proxies: brand sentiment vs. competitors, "brand curiosity" (how people search/engage with owned & earned properties), "economic power" (stock price as investor confidence), and "pricing power" (ability to raise prices without losing volume). A two-year correlation study is underway to test whether these predict revenue and reallocate budgets.
- Consumer control & value exchange. Consumers selectively share data (e.g., telling a carrier or credit card company things they won't tell Ralph Lauren). Brands should "lean into" the data consumers willingly give and rely on partners for the rest, building an industry-wide graph.
Notable claims & predictions
- "Data is everywhere. Intelligence is not." — Boras, citing a full-page Wall Street Journal print ad Bliss ran that day stating its market position. The repeated thesis of the episode.
- "It's not always about being one-to-one precise. That does not exist anymore. Not truly." — Cupak, on the end of individual-level targeting.
- "The number of devices in households have gone up from seven to 17 in the last 10 years... for a brand who is not in this business to figure out what 17 devices map to the single person... is impossible." — Boras, the core argument for telco/data-partner-led identity.
- "Did they ever exist? I think we comforted ourselves that cookies were working." — Cupak, questioning the premise of cookie-based attribution entirely.
- "Agencies need to be bringing differentiation, and the way... we can truly do that is through our tech." — Cupak, on proprietary tech as survival, not optional.
- On whether one-to-one identity is dead: "I'd like to be spicy and say yes... But I do think it's evolving. I don't think it's quite dead." — Cupak.
- "I might not tell Ralph Lauren that I have kids, but I will tell my credit card company or my cell phone company." — Cupak, illustrating consumer-controlled, context-specific data sharing (and implicitly the telco/card-network data advantage).
Why this matters for ad-tech operators
- Telco-owned DSPs as a first-party identity play. Bliss-as-T-Mobile's-in-house-DSP is a concrete example of a carrier monetizing its first-party device/subscriber data and positioning itself as the identity partner brands can't replicate. Buy- and sell-side operators should watch telco data clouds as a structural alternative to cookies — and a competitor to traditional identity vendors (LiveRamp, Experian, ID5) in a post-cookie, consumer-control world.
- Agencies building proprietary tech changes the buy-side stack. PMG's Head of Product role, Audience Planner "digital twin," and brand-equity measurement model signal agencies insourcing capabilities historically supplied by DSPs, measurement firms, and data vendors. For independent ad-tech and measurement providers, this is both a partnership opportunity and a
Full analysis
Decision Council — Briefing Mode
Step 1 — Frame
This episode is a thesis pitch dressed as a fireside chat: two operators arguing that one-to-one targeting and cookie-based last-touch attribution are dying, and that the winners will be (a) telcos and card networks who own consumer-permissioned first-party data, and (b) agencies that build proprietary tech instead of renting it. For ad-tech operators, the real question is: is this where the buy-side and measurement stack is actually heading, or is it convenient positioning from two parties who benefit if you believe it?
- Reversibility: N/A (briefing) — but the underlying bets are Type 1 for the people making them. Building an in-house product org or a telco DSP is expensive and slow to unwind.
- What's actually being decided (by your reader): whether to treat telco/card-network data and agency-built tech as structural shifts worth repositioning around, or as a niche worth monitoring.
- Forcing function: none acute. This is a directional read, not a deadline. The two-year PMG correlation study is the only dated artifact, and it's unfinished.
Worth saying up front: this is a low-to-medium impact episode. It's light on numbers, the central claims are directionally familiar to anyone who's tracked post-cookie discourse, and both speakers have obvious incentives. The value is in pressure-testing the theses, not in the news.
Step 2 — The Council
The Skeptic The load-bearing assumption is that one-to-one targeting is "dead" — and notice who's saying it. A telco DSP and an agency both win if individual IDs lose value, because both are pitching cohorts and proprietary models as the replacement. Cupak even catches herself: "I don't think it's quite dead." The device-count stat (7 to 17 per household) is a real trend, but it argues for better cross-device resolution, not for abandoning identity — and resolving devices to households is exactly what LiveRamp, Experian, and the walled gardens already do. Plain version: the people declaring the old method dead happen to sell the new one.
The Operator Try running PMG's "digital twin" Tuesday morning. A live proxy refreshed weekly across Amazon DSP, TikTok, Snap, influencer graphs — who maintains the joins when TikTok changes its API or a data feed breaks? "Billions of data points" is a maintenance liability, not a moat. The brand-equity model is worse operationally: it asks a CMO to reallocate budget based on stock price and "brand curiosity" — proxies a CFO will shred in the next downturn. Plain version: these are impressive demos that quietly become someone's full-time firefighting job.
The CFO Stock price as a measurement input ("economic power") is circular — your ad budget influences revenue, revenue influences the stock, and now the stock tells you how to budget. That's a feedback loop, not a measurement. The honest admission here is the tell: cookie attribution may never have worked, but it was cheap and legible. Replacing it with a two-year correlation study and four soft proxies raises measurement cost and lowers defensibility at exactly the moment finance is scrutinizing marketing spend. Plain version: the new model costs more and is harder to defend in a budget review.
The Market Analyst The structural signal worth your attention: telcos as identity players. T-Mobile's Bliss, Verizon, and the card networks (Mastercard, Amex) hold consumer-permissioned, relationship-specific data that's hard to replicate post-cookie. If that thesis holds, it pressures the independent identity vendors — LiveRamp, ID5, Experian — who've spent years building the graph telcos can now assert they own natively. And the agency-insourcing trend (PMG's Head of Product role) is a real margin threat to DSPs and measurement firms whose value was "we have the tech you don't." Plain version: two of your customer types — agencies and telcos — are quietly trying to become your competitor.
The Customer (the brand/CMO) From the brand's seat, "lean into the data consumers willingly give and outsource the rest" sounds liberating until you realize it means renting your customer understanding from T-Mobile and Visa in perpetuity. Cupak's line — "I'll tell my credit card company I have kids but not Ralph Lauren" — is true, and it's precisely why brands should be nervous: the most valuable signals sit with intermediaries who can re-price access whenever they like. Plain version: outsourcing identity solves a hard problem by handing leverage to your data landlord.
Step 3 — The Tensions
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"One-to-one is dead" vs. "telcos own one-to-one." The episode wants both: precise targeting is impossible for brands, but telcos and card networks can do it precisely. The honest reframe isn't that precision died — it's that it consolidated into the hands of a few permissioned data owners. That's a very different (and more uncomfortable) story for operators.
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Cohorts as principle vs. cohorts as necessity. Boras frames cohorts as the enlightened, privacy-forward future. The Skeptic and CFO read it as making a virtue of constraint — you go cohort-based because clean individual signal got expensive and legally fraught, not because it's better. Both can be true, but operators should know which one is driving their roadmap.
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Agency-built tech: differentiation vs. distraction. Cupak says proprietary tech is survival. The Operator and CFO say most agencies will build brittle tools they can't maintain and would've been better off licensing. The PMG case (engineer CEO, tech-first from day one) may not generalize to holdcos bolting a product team onto a services culture.
Step 4 — Synthesis
What this actually hinges on, for your reader:
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Does permissioned first-party data consolidate to telcos/card networks? This is the one genuinely structural idea in the episode, and it's worth taking seriously regardless of who said it. If you're an identity vendor (LiveRamp, ID5, Experian), this is a competitive threat to scenario-plan now. If you're a publisher or DSP, telco data clouds are a sourcing option and a future gatekeeper — engage early, but don't get locked into one landlord.
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Is agency insourcing real or vanity? Watch whether holdcos beyond the tech-native shops (PMG) actually ship and maintain proprietary audience and measurement tools. For DSPs and measurement firms, the defensive move is to make your tech the rails agencies build on top of, not the thing they replace.
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Will mid-funnel/brand-equity measurement survive contact with a CFO? Skeptical. Correlation studies and stock-price proxies will get funded in good times and cut in bad ones. The durable opportunity for measurement vendors isn't to copy this — it's to offer something more defensible than both broken cookies and fuzzy brand proxies.
My view: Treat this as a low-news, medium-signal episode. Ignore the "death of one-to-one" framing as self-serving. Take seriously the telco/card-network identity consolidation thread and the agency-insourcing thread — those are the two that could actually reshape where margin and leverage sit in the stack over three years. The brand-equity measurement model is interesting to track but not to imitate; let PMG finish its two-year study before anyone reallocates a dollar on it.
What to verify before repositioning around any of this: whether telco data actually scales and prices reasonably outside the carrier's own inventory, and whether agency-built tools survive their second year of maintenance.
What did we miss? Is there a persona we should add for this specific decision? — A General Counsel lens might be worth adding: "consumer willingly shares with their carrier" is doing a lot of consent work in this episode, and the regulatory durability of telco/card-network data activation (especially across state privacy laws) is exactly the kind of assumption that breaks quietly.
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