FreeWheel’s Alex Ibarguen: CTV Fragmentation Is ‘Very Much An Identity Problem’

Why It Matters

Accurate, deterministic identity in CTV lets political advertisers reach the right voters efficiently, cutting waste and unlocking measurable ROI in an increasingly fragmented media landscape.

Key Takeaways

• Deterministic data solves CTV identity fragmentation for advertisers.
• Comcast IP stability enables household-level verification across power outages.
• FreeWheel’s ad server unifies data, identity, DSP, and SSP.
• Closed-loop attribution in political CTV reduces latency and data staleness.
• Buyer Cloud empowers agencies to build custom AI bidding algorithms.

Summary

Alex Ibarguen of FreeWheel frames connected‑TV (CTV) fragmentation not merely as an inventory issue but as a fundamental identity problem. He argues that deterministic household data—anchored by Comcast’s ISP‑assigned IPs—provides the stable identifiers needed for accurate political and brand messaging, even when modems reset or IPs rotate. The discussion highlights how FreeWheel leverages Comcast’s 15 million‑household viewership dataset and its position as the dominant ad server for premium CTV. By integrating this deterministic data across both programmatic and linear endpoints, the platform creates an end‑to‑end ecosystem where the SSP, DSP, and ad server share a single source of truth, dramatically improving data fidelity and activation efficiency. Ibarguen cites concrete examples: “By the time the buyer has built their audience… they’re left with a shadow of what they started with,” and notes that ghost‑bidding algorithms now generate holdout samples at bid time, eliminating wasted spend. He also points to Buyer Cloud’s open infrastructure, which enables agencies to hire data scientists and develop custom AI‑driven bidding strategies for upcoming election cycles. The implications are clear: political campaigns can achieve precise voter targeting, reduce duplication, and measure impact in real time, while advertisers gain a scalable, cost‑effective path to CTV. Deterministic identity and closed‑loop attribution are set to become decisive competitive advantages in the rapidly expanding CTV marketplace.

Original Description

Connected TV’s fragmentation challenges extend beyond inventory distribution to fundamental identity resolution issues that erode audience fidelity as buyers extend campaigns across multiple activation endpoints.

“The fragmentation problem in CTV is real, but we as an industry often talk about it as an inventory problem, but it’s very much an identity problem as well,” Alex Ibarguen, director, Platform Sales, Independent & Political Agencies at FreeWheel, told Beet.TV contributor David Kaplan. “By the time the buyer has built their audience in one platform, they’ve matched it to a file, they’re extending it across multiple activation endpoints. Really what they’re left with is a shadow of what they started with from an audience and actual data fidelity standpoint.”

Platforms lacking deterministic datasets will continue struggling with this fundamental challenge moving forward.

End-to-end ecosystem preserves fidelity

FreeWheel’s position as ad server infrastructure behind premium CTV publishers enables creation of a unified ecosystem where ad server, data, identity, and demand-side platforms operate from a shared foundation.

“FreeWheel... is creating an end-to-end ecosystem where the ad server, the data, the identity and the DSP all operate off of that same foundation," Ibarguen said. 

This architecture captures buy-side and sell-side signals while translating them appropriately, ensuring consistent signal availability end-to-end because the same entity controls both supply and demand sides.

Political’s closed-loop attribution value

Political advertising represents prime vertical for closed-loop attribution given clear voter identification, optimization capabilities, and data-driven success measurement, though traditional buying models scatter these functions across disparate platforms.

“When we talk about closed loop attribution, we often do it in the context of DTC brands or performance marketing, but really from a vertical standpoint, political is primed for this as well,” Ibarguen said. “We know who we’re targeting. We can optimize against it. And then finally, that success story is very data driven as well.”

FreeWheel encourages end-to-end solutions that consolidate buying, measurement, and audience building for improved consistency and success.

Reducing inefficiencies

Buyers should minimize data hops that create latency, additional margins, and data degradation by prioritizing platforms with direct vendor integrations rather than relying solely on data marketplaces.

“What we’re trying to encourage is buyers to remove as many hops as possible. With each hop, there creates additional inefficiencies, whether it’s latency creep, additional margins, staleness of the actual data itself,” Ibarguen said.

FreeWheel maintains direct integrations with L2, i360, DataTrust, and others to enable scaling across identity networks without fidelity loss.

Ghost-bidding and ad spend waste

Ibarguen also brought up the topic of ghost-bidding, which is sometimes referred to as ghost ads. It’s a measurement technique used in digital advertising where a platform simulates an ad impression that could have been shown to a user but intentionally withholds the actual ad. The technique allows advertisers to compare outcomes between users who saw the ad and similar users who would have seen it but didn’t.

As Ibarguen notes, attribution studies using ghost-bidding create algorithmic sample groups before actual bidding rather than setting aside budget portions for holdout groups, ensuring no campaign funds remain unused.

“With ghost-bidding, you don’t have to leave any money on the table. Rather than take 10% of your budget out for some sort of holdout group, you can now do so algorithmically where you are creating the sample before the actual bid itself,” Ibarguen said.

This enables real-time understanding of message resonance with voter segments and deal performance measurement without budget sacrifice.

“Campaign managers looking ahead to an upcoming busy season might ask themselves how their platforms are actually resolving identity, what they’re doing about deterministic data, how they’re working from a data fidelity standpoint, because that’s going to become more and more of a conversation as accuracy is really on the table,” Ibarguen said.