Meta + Google
High-frequency. Short-attention. Direct-response. Excellent for the sale in front of you. Structurally bad at building the relationship that brings someone back.
01 · The Meeting
Creatives in market · iSpot.tv brand scorecards · 30-day window 07/11/2026–08/10/2026
Boost airings and all dollar spend figures are gated behind an iSpot enterprise seat. Ranks shown are directional. Source: iSpot.tv brand scorecards, data available through 08/10/2026.
Boost unknown (airings gated). Computed: national airings ÷ creatives in market.
02 · The White Space
High-frequency. Short-attention. Direct-response. Excellent for the sale in front of you. Structurally bad at building the relationship that brings someone back.
20+ minutes of sustained attention. This is where retention and brand recall actually form. This is the underused lane.
Creator and long-form social content are a related, real opportunity, but outside the scope of this conversation.
This is the lane Vision Bridge and Perlocity are built to find and fill for Boost.
Directional framing based on category attention patterns, not a proprietary Boost audience study. Not a claim about Boost's specific customer data.
03 · The Unlock
Vision Bridge and Perlocity aren't two vendor pitches. They're one system that gets smarter with every test.
04 · Proof, Not Promise
Clean geo-isolated holdout methodology
2.66x Per Capita iROAS at 99.7% confidence
~2x the spend and days of phase 1. Signal held: 1.59x Platform ROAS sustained every month.
Previously-dark holdout markets activated and immediately produced 1.52x ROAS — “they were thirsty for it.”
Vision Bridge validated a real ~4.5 day consideration cycle sitting inside a 7-day attribution window.
Projected $4.35M–$5.22M in annual incremental revenue, up to $6.53M including a returning-customer retention halo.
This is the same holdout-and-attribution discipline we'd bring to Boost's white space.
05 · How It Feels
Every concept gets tagged for which nervous-system state it activates before it goes into test — prefrontal cortex, parasympathetic “calm and connect” vs. amygdala-driven “fight or flight.” We're not guessing which creative feels safe to a viewer. We measure for it.
The contract-locking mega-carrier and the bill that grows while you sleep. Punch the mechanism, not the competitor's customers.
The person who took control of their telecom bill. Agency restored.
Sparky, and the arithmetic of a price that does not move. (Text treatment only — no fabricated mark.)
The villain is the contract, not the competitor's customers — punching at the mechanism, not at people, is what keeps it likable at high frequency.
06 · The Brain
Signal encoding → cross-modal fusion → high-resolution catchment prediction. Every holdout test, every neuro-tag, and every attribution signal feeds back into this. This is what gets smarter. This is what compounds. Click any node.
07 · The Buying Layer
Boost wants to buy on a CPA basis without cannibalizing other media. The mechanism is agentic buying — negotiating directly with publishers at scale, algorithmically, so every purchase feeds a precision signal back to the model. Vision Bridge is built to do exactly this.
Agentic buying negotiates directly with publishers on a CPA basis, so gains don't come at the expense of other channels' performance.
Every buy teaches the model precisely how and when to buy next — this compounds independently of any single test's dollar figure.
What gets built and proven in this test isn't locked to one platform. It's an intelligence layer that can hand off to whatever advanced AI system Boost adopts next — a real head start, not a locked-in dependency.
Every test run compounds. Twelve months in, most competitors are still buying manually.
This test isn't just a CPA number. It's the start of an intelligence layer Boost owns.
Positioning claim about Vision Bridge's current capability, not a Boost-specific performance guarantee. Node diagram is illustrative of the buying/feedback mechanism, not a literal system architecture diagram.
08 · The Ask
Vision Bridge cleans up cross-channel attribution and puts spend behind a guaranteed CPA threshold. The full savings model is in Supporting Evidence.
Use attribution to find the white space, test :15s and :30s against clean holdouts, then feed the winning signal back into media allocation.
Tag creative for retention-friendly “calm and connect” states before it ships, then prove which work drives both business outcome and memory.
Single market · one owned device · N creatives · guaranteed CPA · store-level readout. Reference allocation already on the table: $300,000 Q3 test. No additional dollar figures invented here.
Supporting Evidence
Appendix A · Vision Bridge
A dedicated, performance-driven test mapped entirely to a guaranteed cost per acquisition. 100% performance-based — spend governed by the guaranteed CPA threshold.
We provide the pipeline. You provide the endpoint. Real-time CPA validation directly into your existing data stack.
Two inputs. Everything below recomputes. We assert none of your figures.
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$115 is an opening ceiling we expect to drive down as the graph closes the loop — step it toward your own target. $150 blended CPA is a placeholder reference, not your number. Supply line assumes 4–5 live creatives per $100K/mo refreshed every 2 weeks, at modeled production costs of $8,000 (traditional) vs $45 (Perlocity) per finished asset. Under a guarantee, variance sits with Myosin, not Boost. Modeled illustration. Not a quote.
Appendix B · 3,000 Stores
The layer nobody else in the category has at this granularity for prepaid.
Every dot is a first-party sensor feeding the identity graph: consent-gated resolution runs from deterministic account keys down to contextual signals, and joins each activation to a household and a store catchment (section 04).
Real US Census state geography (Albers USA projection). 3,000 modeled points across 77 real metro areas, weighted by 2020 census metro population — not Boost's actual store addresses.
Every activation, port-in, and upgrade is a first-party conversion event with a physical location and a timestamp.
Catchment-level creative variants — local device mix, competitive density, language mix, payday cycle. Generation makes per-catchment creative economically possible for the first time.
Closed-loop: national exposure → household graph → store catchment → in-store activation → attributed CPA.
Every other carrier measures a market. Boost can measure a block.
Appendix C · Speed & Volume
brief → agency → concept → production → post → legal → traffic
6 to 8 weeks per campaign · tens of thousands of dollars per finished asset
brief → generation → swarm critique → brand check → traffic
15 to 30 minutes · cents to low dollars per asset
Volume without a fixed brand device is just more noise. The engine only earns its keep because sections 4 and 5 tell it what to hold constant.
Appendix D · Brand Room
Compose a brief from chips. Generate. Watch structured creative stream out offline.
Simulated session. Output shown is representative of live Perlocity generations.
Select chips, then Generate.
Appendix E · The Stack
Brand-room ideation, generation, swarm critique, asset library, brand governance.
REPLACES: slow agency concept cycles, unmanaged asset sprawl
Zero/first/second/third-party resolution, consent-gated, household + store catchment.
REPLACES: pixel-only attribution, market-level guesswork
Tribe v2, Character Casting, the applied-lever library.
REPLACES: offer-led creative with no memory device
Guaranteed-CPA media with closed-loop server-side attribution.
REPLACES: brand spend without acquisition accountability
Boost stops selling the phone and starts selling freedom from the bill, through one owned device, in two languages, at a generation-engine cost structure, measured to a guaranteed CPA at store level.
Boost already has meaningful Spanish creative in market and Metro is fighting hard there. Build the campaign world bilingual from concept, not as a translation layer.