AdTechGod · 2026-11-10
Smarter Advertising Decisions, Not Just Automation: With John Hoctor of Newton Research
This is Wakewire's analysis, based on the recording and the passages quoted here. Tone and candor labels are our read, not a finding about anyone's motive. Our standards
- Source
- AdTechGod
- Released
- 2026-11-10
- We read it
- 2026-11-10
- Recording
- Recording has gaps
- Read confidence
- low
- Review
- Passed automatic checks
What the episode covered
John said Newton Research uses analytics-heavy agentic workflows to help agencies make better media decisions rather than simply automate dashboards. The register is mixed, with candid founder history alongside product-forward language, and the transcript has apparent jumps in two important answers. Watch whether named partners and customers publish concrete workflow results or case studies.
Our summary, written from the transcript. Not the speakers' words.
The episode, in order
01Founder background
The guest's credibility is built on prior companies that connected TV inventory, measurement, identity, and outcomes.
02Entrepreneurial risk
This makes the founder story more concrete than a simple talent narrative, and it explains why he could take repeated startup risks.
03Newton Research positioning
The commercial thesis is that better decisions about budgets, audiences, tactics, and creative matter more than basic automation.
04Agencies and AI
This frames AI as a tool for agency transformation rather than a near-term replacement for agencies.
05Premium inventory
This supports the idea that agentic tools may matter outside real-time bidding and open exchange workflows.
Sponsors named in this episode
No sponsor was named aloud in this episode. That is what the recording shows. It does not mean the episode carried no advertising.
Roles and stated affiliations
Affiliations named, no board tie. AdTech God: Host of the AdTech GodPod, presenting the guest as an AI leader and asking questions about Newton Research, agency workflows, partnerships, and the future of advertising. · John Hockter: CEO and co-founder of Newton Research, explaining his company, naming customers and partners, defending the relevance of agencies, and stating that Newton is hiring.
Recording limits
- The transcript appears to jump after “I didn't step away to start Newton” into “Welcome.” before Newton's origin is explained.
- The transcript appears to jump after “first agentic buy of consequence,” into “Welcome.” during the partnership explanation.
Claims that need more support
- John said Newton is growing exponentially from a revenue standpoint, but the episode gave no revenue figure or denominator.
Claims made on air that the episode itself did not back up.
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The read
The surface is a founder interview about Newton Research, agentic AI, analytics, agencies, and TV advertising workflows. The strongest signal is John drawing a line between basic AI features and decision support, especially when he says conversational interfaces and simple agentic workflows will become table stakes. The charitable read is that Newton is trying to solve the harder analytics layer that agencies need to decide budgets, tactics, audiences, and creative. The boring read is that this is standard founder positioning, with prior exits, named partnerships, and hiring momentum used to establish credibility. The skeptical read is narrower, not harsher: the recording gives limited evidence for customer results, revenue growth, or the details of the named Dentsu, NBCUniversal, Freewheel, and RPA partnership, and two transcript jumps interrupt load-bearing answers.
This read assumes: The transcript is broadly representative despite the apparent jumps. Named customers, partners, and company history are treated as statements in the recording, not independently verified facts. No paid sponsorship or commercial relationship is inferred beyond what the recording states.
Every opinion labeled as one. This is Wakewire's analysis of the recording, not a finding about anyone's motive.
What was said
Founder background
John described starting in TV advertising data at Navic Networks, then working at Microsoft Advertising, co-founding Integral Reach, and later building Data Plus Math before its sale to LiveRamp.
Entrepreneurial risk
John said prior exits, timing, family support, and a de-risked personal situation helped him keep starting companies.
Newton Research positioning
John positioned Newton as focused on analytics and media decisioning inside agentic workflows, not just conversational dashboards or one-for-one automation of existing work products.
Agencies and AI
John said agencies will persist and reinvent themselves, and he described Newton as agency-friendly and used by large agencies.
Premium inventory
John and the host said much premium inventory is still sold through direct, guaranteed, upfront, or programmatic direct channels rather than open exchanges.
Our paraphrase, not the speakers' words.
The passages we relied on
"There's a lot of companies, I would say, attaching agents on top of their existing platforms and enabling you to ask questions of your data, right? And that's, I think that's like the knee jerk. First thing that ad tech…"
Short excerpts, credited to the show, at most 40 words each and 150 per episode. We do not publish transcripts. We link to the episode so you can hear it from the show itself.
What to watch for
- Newton or its partners publish a case study explaining the Dentsu, NBCUniversal, Freewheel, and RPA workflow and the measurable outcome of the agentic buy. (next 6 to 12 months)
- Newton product materials show specific analytics-heavy workflows, such as budget allocation or tactic funding recommendations, rather than only chat-based data querying. (next product cycle)
- Newton's careers page lists open roles in sales and account or customer success functions. (near term)
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