A neuro-contextual activation plan built on Liz — Seedtag's proprietary AI — showing exactly where, why, and at what scale "Jobs Need People" can move beyond the walled garden.
"People are applying, and many may not hear back. It's making them not feel seen. Is anyone out there?"
— Jennifer Warren, Global VP Brand Marketing & Creative, Indeed
Job searching is one of the more emotionally loaded things a person does online — and most of the internet still treats it like a string match on "careers." The gap between what a page is about and why someone is actually reading it is where media dollars get wasted, and where a campaign built on being seen can quietly stop practicing what it preaches.
"Careers" and "jobs" pages get treated identically whether the reader is confident or terrified — creative can't adapt to a mindset the media never identified.
UGC, unlabeled AI content, and demo-based overlays dominate closed platforms — there's no way to guarantee what a job seeker's ad actually sits next to.
Scale that ignores emotional context spends budget proving the opposite of "Jobs Need People" — that people are just impressions to fill.
This is a real, activatable audience pulled directly from Liz — not a hypothetical framework. It's a psychological cross-section of the US workforce in transition, built on embeddings rather than keyword rules.
1.5M impressions · 5.66x index — creative should lead with possibility and pathways forward.
266.6K impressions · 5.74x index — this audience needs authoritative, transparent messaging to act on life-altering decisions.
Seedtag sits directly against the open web's tier-1 publishers — not layered on top of someone else's marketplace. That direct relationship is what makes page-level signal possible in the first place.
A planner enters the campaign brief into Liz — objective, mindsets, supply constraints. Liz returns a scored package of content environments, reach, and CPM ranges. Approve it, and it becomes a live deal ID.
Because Seedtag is integrated directly into the exchange layer, the deal is continuously monitored against the KPI — inventory that's performing gets more weight in real time, inventory that isn't gets cut, automatically.
NeuroX brings premium Web and CTV supply together with Seedtag's understanding of interest, emotion, and intent into a single activation layer. Because the intelligence is built into the supply itself, every impression is understood before it's bought — no identity signals, no added workflow.
Your brief, fully executed. Seedtag builds the audiences and handles targeting, optimization, and delivery end-to-end.
Pre-packaged or custom intelligence — supply, data, and logic bundled into a single deal ID, including bespoke PMPs, plugged straight into your DSP.
Direct path to supply, full flexibility. Buy NeuroX supply through your DSP as usual, your way.
Publisher Audience Data (PAD) lets WPP Open / Choreograph segments layer directly onto Seedtag's contextual supply — first-party planning data plus page-level emotional signal, in one deal.
Liz + LAB team handle planning, packaging, and optimization end-to-end. Reports into WPP Media's existing measurement stack — no separate tracking layer to reconcile.
Your trading desk builds and activates directly. PAD can be layered as an inclusion list at the deal level, with Seedtag's contextual and emotional signal underneath.
Available on managed or self-serve deals, returned to WPP or Indeed directly. Creative production and versioning included at no additional cost.
Liz goes beyond simple keyword matching by using embeddings to capture semantic, emotional, and contextual patterns. Built on a strong LLM and enhanced with brand-specific applications, the model achieves true multi-layered content understanding across 100+ languages — recognizing how entities relate to each other and enabling a holistic view of consumer mindset and intent.
Liz understands what a page means and how a reader feels about it — the same article about "changing careers" reads differently to someone excited versus someone scared, and Liz can tell the difference. Built on 100M+ parameters, embeddings beat keyword models by 90% for categorization accuracy in internal A/B tests.
Every signal is derived from content, not identity. That makes it durable against privacy regulation and immune to the walled garden's data advantage.
Brand safety, suitability, and emotional fit are scored before spend, not audited after. IAS and DV can run alongside for measurement, not gatekeeping.
Every campaign becomes planning intelligence for the next brief — emerging content categories, creative-to-context fit, and whitespace competitors haven't claimed yet.
Share this plan with Jennifer Warren and William Double to confirm which mindset — Recent Grad, Skilled Trades, or another — matches the next flight on the calendar.
Activate one segment as a PMP against DV360, layering any available PAD, measured against WPP's current open-web benchmark.
Once results are in and Seedtag clears WPP's approved exchange list, expand into a standing package inside WPP Open — reach without waste, campaign after campaign.
Every number on this page came from a live Liz run — not a hypothetical framework. Happy to run it again against a different segment, a different budget, or a different brief.
Get in touch