01 · The Meeting

Three Things Boost Wants From This Room

01

Lower Cost Per Acquisition

02

Grow Sales

03

Build Brand That Lasts

Here's where the market already is — most competitors are cycling high creative volume at low cost per unit. Boost can compete on cost AND go somewhere they can't: retention.

Creatives in market · iSpot.tv brand scorecards · 30-day window 07/11/2026–08/10/2026

Verizon
1,269
T-Mobile
1,062
AT&T Wireless
748
Metro by T-Mo
365
Boost Mobile
144
Mint Mobile
93
#5 / #8
Verizon / T-Mobile spend rank
#263
Boost spend rank
#570
Mint spend rank
14,848
T-Mobile national airings (30d)

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.

Efficiency curve · airings per creative

4.7
Verizon
14.0
T-Mobile
13.2
AT&T
12.9
Metro
58.0
Mint

Boost unknown (airings gated). Computed: national airings ÷ creatives in market.

Mint runs 58 airings per creative on a #570 spend rank and still out-airs Verizon. They are not buying attention. They are earning it, then buying cheaply.

02 · The White Space

Where Brand Retention Actually Gets Built

Where the spend lives today

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.

Where brand gets built

TV + CTV + YouTube

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

One Closed Loop, Not Two Separate Systems

Vision Bridge and Perlocity aren't two vendor pitches. They're one system that gets smarter with every test.

04 · Proof, Not Promise

We've Run This Exact Play Before

Case study from a separate Vision Bridge engagement. Shown to prove the method — not Boost's numbers, not a guarantee.
Test design

37 test states vs. 13 holdout states

Clean geo-isolated holdout methodology

Phase 1

46 days · $139K spend

2.66x Per Capita iROAS at 99.7% confidence

Phase 2 · extended read

90 days · $234K spend

~2x the spend and days of phase 1. Signal held: 1.59x Platform ROAS sustained every month.

Phase 3 · national rollout dry-run

12 days · $31K spend

Previously-dark holdout markets activated and immediately produced 1.52x ROAS — “they were thirsty for it.”

Attribution validation

1,556 conversions

Vision Bridge validated a real ~4.5 day consideration cycle sitting inside a 7-day attribution window.

Shape of the outcome · not a Boost forecast

$250K–$300K/month modeled national CTV investment

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

We Tag the Brain State Before We Ship the Creative

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.

Observed: category-typical opening frames, rapid skip
Salience & prediction error
+
The brain allocates attention to violated expectation. Creative instruction: the first sub-second artifact must be unpredictable within its own placement context. A category-typical opening frame is discarded pre-consciously.
Observed: Mint's fixed face + joke structure
Processing fluency
+
Repeated, easily-processed structures feel truer and safer. This is why a recurring character and a fixed format outperform a rotating library. It is the mechanism behind Mint's moat.
Observed: bill creep, teaser rates, fee stacking
Loss aversion
+
Losses loom larger than equivalent gains. "Stop paying for what you don't use" outperforms "save money." The bill-creep territory is built on this.
Observed: prepaid status penalty in culture
Identity signaling
+
People buy what confirms who they believe they are. Prepaid carries a residual status penalty; the creative job is to convert "what I can afford" into "what I'm too smart to overpay for."
Observed: 3,000 neighborhood store presence
Social proof & in-group
+
3,000 stores means the brand is physically present in a neighborhood. Localized proof beats national proof.
Observed: plan grids, feature matrices, fee footnotes
Cognitive load & the decision cliff
+
Every additional plan variable reduces conversion. "One price for life" is a load-reduction claim before it is a price claim.
Observed: "forever" pricing sold as future benefit
Temporal discounting
+
Immediate certain benefit beats larger delayed benefit. This is why "forever" pricing must be dramatized in the present tense.
Observed: ads, store visits, first bills forgotten mid-flow
Peak-end rule
+
Memory of an experience is dominated by its peak and its end. Applies to the ad, the store visit, and the first bill.

Tribe v2 · Character Casting for Boost

Villain

The contract

The contract-locking mega-carrier and the bill that grows while you sleep. Punch the mechanism, not the competitor's customers.

Hero

The customer

The person who took control of their telecom bill. Agency restored.

Sidekick

Sparky + the arithmetic

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.

These are applied findings from attention and behavioral decision research used as creative constraints. They are heuristics for making work more memorable, not deterministic levers. Every one of them still has to win in market against a holdout.

06 · The Brain

The Brain — Boost Encoder

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.

MULTIMODAL FEATURE EXTRACTION Encoding Boost's signals UNIFIED TRANSFORMER Cross-modal fusion + governance CATCHMENT MAPPING High-resolution response prediction ZERO-PARTY Declared intent · brand-room sessions · in-store preference 1P RETAIL 3,000 STORES Activations · ports · upgrades 1P DIGITAL App · billing · autopay · care contacts · usage telemetry 2P / 3P CTV exposure · publisher logs co-op partners · panels IDENTITY CONSENT RUDDERSTACK BIGQUERY VERTEX AI BRANDFOLDER PERLOCITY CONTEXT STATE · trim · compress · retrieve PERLOCITY ENGINE TRIBE v2 → CAST → GEN → CRITIQUE SALIENCE FLUENCY LOSS AVERSION IDENTITY SIGNAL PEAK-END 3,000 STORE CATCHMENTS Response predicted at catchment resolution, not DMA resolution. Every other carrier measures a market. Boost can measure a block. Illustrative architecture diagram. Cortical rendering is a visual metaphor for response modeling, not fMRI output.
CLOSED LOOPExposure → household → catchment → activation
GOVERNANCEConsent gates every rung; brand rules never leave the boundary
OUTPUTCreative conditioned on the lever the signal licenses

07 · The Buying Layer

A Feedback Loop the Models Can Actually Learn From

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.

PUBLISHERS inventory · supply AGENTIC NEGOTIATION direct · algorithmic · at scale CPA-GOVERNED BUY non-cannibalistic PRECISION FEEDBACK SIGNAL every buy teaches the model THE MODEL signal loops back · each iteration buys smarter A MODULE, NOT A BLACK BOX · BUILT TO SNAP INTO WHATEVER COMES NEXT

Not cannibalization, negotiation.

Agentic buying negotiates directly with publishers on a CPA basis, so gains don't come at the expense of other channels' performance.

A precision feedback loop.

Every buy teaches the model precisely how and when to buy next — this compounds independently of any single test's dollar figure.

Portable by design.

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

Answer the Three Goals With One Pilot

Lower cost per acquisition

Vision Bridge cleans up cross-channel attribution and puts spend behind a guaranteed CPA threshold. The full savings model is in Supporting Evidence.

Grow sales

Use attribution to find the white space, test :15s and :30s against clean holdouts, then feed the winning signal back into media allocation.

Build brand that lasts

Tag creative for retention-friendly “calm and connect” states before it ships, then prove which work drives both business outcome and memory.

Three questions to shape the pilot

  1. What is your true guaranteed CPA target?
  2. Which TV, CTV, and YouTube inventory should enter the first white-space test?
  3. Can we get read access to store-level activation data for a single-market pilot?
Q3 pilot shape

Structural, not invented

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

Vision Bridge — Guaranteed CPA

A dedicated, performance-driven test mapped entirely to a guaranteed cost per acquisition. 100% performance-based — spend governed by the guaranteed CPA threshold.

$300,000
Reference scope · Q3 test allocation
  • RudderStackTagging deployed via RudderStack, establishing server-to-server data flow that bypasses client-side pixel restrictions so every acquisition is attributed in real time.
  • Google CloudData infrastructure managed on the Myosin side and integrated back into Boost's Google Cloud environment via unified API. Closed-loop reporting; acquisitions verified automatically with no manual reconciliation..
  • Creative delivery4–5 live creatives concurrently to prevent fatigue while giving budget density to optimize; :15 and :30 primary; every asset carries baseline URLs, dedicated QR codes, and short codes for cross-device continuity.

We provide the pipeline. You provide the endpoint. Real-time CPA validation directly into your existing data stack.

Savings & scale model · arithmetic only

Two inputs. Everything below recomputes. We assert none of your figures.

—
Acquisitions / month at guarantee
—
Annualized acquisitions
—
More / year than a $150 blended CPA buys

—

$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.

Guaranteed CPA is only affordable to underwrite if creative supply is cheap and the identity graph closes the loop. The engine is what makes the guarantee underwritable. That is why the whole deck hangs together.

Appendix B · 3,000 Stores

Boost's 3,000 Stores

The layer nobody else in the category has at this granularity for prepaid.

AK HI NEW YORK LOS ANGELES CHICAGO DALLAS HOUSTON MIAMI Modeled store point

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.

Store as sensor

Every activation, port-in, and upgrade is a first-party conversion event with a physical location and a timestamp.

Store as creative unit

Catchment-level creative variants — local device mix, competitive density, language mix, payday cycle. Generation makes per-catchment creative economically possible for the first time.

Store as proof

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

Speed & Volume Math

Traditional

brief → agency → concept → production → post → legal → traffic

0

6 to 8 weeks per campaign · tens of thousands of dollars per finished asset

Perlocity

brief → generation → swarm critique → brand check → traffic

0

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.

Modeled illustration. Not a quoted rate.

Creatives per quarter

50144800
—
Traditional modeled
—
Perlocity modeled
—
Modeled delta

Assumptions (conservative, illustrative): traditional blended finished-asset cost $8,000; Perlocity blended finished-asset cost $45. Not a quote. Boost at 144 creatives vs Verizon 1,269 / T-Mobile 1,062 is a fraction of creative surface area — a generation engine closes supply gap without closing cost gap.

Appendix D · Brand Room

The Perlocity Brand Room

Compose a brief from chips. Generate. Watch structured creative stream out offline.

Simulated session. Output shown is representative of live Perlocity generations.

00:00.0 concept → structured output

Select chips, then Generate.

00:00.0

Appendix E · The Stack

The Stack

01

Perlocity

Brand-room ideation, generation, swarm critique, asset library, brand governance.

REPLACES: slow agency concept cycles, unmanaged asset sprawl

02

The Identity Graph

Zero/first/second/third-party resolution, consent-gated, household + store catchment.

REPLACES: pixel-only attribution, market-level guesswork

03

The Neuro Framework

Tribe v2, Character Casting, the applied-lever library.

REPLACES: offer-led creative with no memory device

04

Vision Bridge

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.

Spanish-language beachhead

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.