The Ask: Approve a 14-week engineering effort (3 engineers @ $68/hr) costing $114K to build an AI Campaign Brief Builder reducing advertiser onboarding from 4 days to under 8 minutes.

The Bet: We believe ≥65% of enterprise advertisers will generate campaign specs without sales assistance within 14 days of launch, cutting onboarding time by 95% (source: Q2 usability test with Figma prototype, n=21).

The ROI:
220 new advertisers/month × 65% adoption × $1,200 deal acceleration value = $2.06M/year
(Sources: New advertiser signups - internal analytics Jan 2024; deal acceleration value - CFO-modeled cost of delayed launch)
→ If adoption is 40%: $1.27M/year
→ Downside case: If deal acceleration drops to $600/spec: $1.03M/year

Kill Criteria: If <20% of users complete campaign specs unassisted by D90, we halt investment and revert to high-touch onboarding.

What this is: An automated campaign specification generator using five advertiser inputs to produce production-ready briefs.
What this is not: A campaign editor, performance optimizer, or replacement for sales-led enterprise negotiations.

AdxReel’s 2024 OKR 3 targets increasing self-serve revenue from 12% to 35% by Q4. The #1 blocker cited by churned trial users is "complex setup" (source: exit survey, n=217). Enterprise competitors require sales-assisted onboarding, creating our wedge for mid-market capture. Our play: dominate time-to-first-ad for brands running UGC campaigns — a segment growing 24% YoY (Gartner 2024).

Competitors force advertisers through manual sales processes:

• Google Interactive Media requires 3+ discovery calls
• TikTok Spark Ads mandates creative approval before targeting spec
• Matterport Spatial Ads uses prebuilt templates with limited AI

Our wedge is frictionless first campaign launch because advertisers can validate platform value before sales engagement.

WHO / JTBD: When a product marketing manager at a DTC brand wants to launch an interactive ad campaign on AdxReel, they need to define ad formats, targeting, success metrics, and reward mechanics — so their campaign launches quickly and hits audience relevance thresholds without 8+ stakeholder syncs.

WHERE IT BREAKS: Today, advertisers download a 22-field spreadsheet, coordinate inputs across product, analytics, and creative teams, then wait 2-4 days for an AdxReel strategist to validate technical feasibility. Campaign launch-ready specs require 4.3 rounds of iteration on average (source: Q1 ops ticket analysis n=94). 37% of advertisers abandon onboarding during this phase.

WHAT IT COSTS:

(Sources: Time tracking n=41 campaigns, labor cost $68/hr blended, abandonment data from Salesforce pipeline)
Total annual cost: $3.05M recoverable revenue + labor

AFTER SOLUTION: The marketing manager inputs five key parameters in 6 minutes; AdxReel generates a compliant campaign spec with auto-populated targeting defaults and success metrics.

Generative AI pipeline:

┌───────────────────────────────────┐
│ Campaign Brief Builder            │
│ **Product Type:** _[Shoes]_ ▼     │
│ **Core Audience:** _[18-24 gamers]_│
│ **Primary Goal:** □ Brand Lift    │
│                   ☑ Conversions   │
│ **Budget:** _$20K_                │
│ **Creative Assets Ready:** Yes ☑  │
└───────────────────────┬───────────┘
         [Generate Campaign Brief →]

┌───────────────────────────────────┐
│ Campaign Spec: _SneakerX Launch_  │
├───────────────────────────────────┤
│ **Format:** 6-sec shoppable video │
│ **Interaction:** AR try-on + QR   │
│ **Reward:** 10% off first purchase│
│ **Targeting:**                    │
│   - Male 18-24                    │
│   - Gaming apps + fitness         │
│   - Lookalike: Sneakerhead IG     │
│ **Metrics:** CPA < $12            │
└───────┤ ✅ Save   ✏ Edit   ├──────┘

Architecture decisions:

• Use GPT-4-turbo fine-tuned on historical campaign specs
• Restrict outputs to 5 pre-validated AR templates
• Hard-fail budget inputs below $500 (non-viable campaign)

Validation rules enforce platform constraints:
IF goal = "Conversions" AND audience_size < 500k → REQUIRES "Brand Lift" secondary goal

Phase 1 — MVP (10 weeks)
US1 — Input Processing

• Given blank campaign builder
• When user completes 5 core inputs
• Then generates draft spec within 8 seconds
• Failure mode: If timeout >15s → auto-fallback to legacy form
• Validator: QA team (n=200 test specs)

US2 — Output Integrity

• P0: Generated AR triggers match approved library → 100% consistency
• P1: Reward structures pass compliance checks → ≥99.5% accuracy
• P2: Targeting parameters valid in all regions → ≥95% accuracy
• Validator: Chief Risk Officer (n=50 legal checks)

Out of Scope (Phase 1):

Phase 1.1 (4 weeks): Competitor ad performance benchmarking
Phase 1.2 (4 weeks): Creative asset sizing recommendations

Primary Metrics:

Guardrail Metrics:

What We Are NOT Measuring:

• Total spec generations (gamed via test runs)
• NPS (lagging; confounded by creative performance)
• Tool engagement time (misaligns with speed goal)

Risk: Outputs violate regional ad regulations

• Likelihood: Medium Impact: High
• Mitigation: Pre-launch legal review of all AI outputs (Owner: Compliance Lead. Deadline: 1/31)
• Trigger: >0.5% spec rejections by review tool

Risk: AI hallucinates unsupported ad units

• Likelihood: Low Impact: High
• Mitigation:* Whitelist interaction types in prompt (Owner: ML Eng)
• Trigger:* Any campaign submission fails API validation

Risk: Enterprise advertisers bypass tool

• Likelihood: Medium Impact: High
• Mitigation:* Mandate tool use for campaigns <$50K (Owner: Sales Ops)
• Trigger:* Sales-assist rate >40% at D45

Kill Criteria (90 days):

1. <20% users generate unassisted specs
2. Legal non-compliance in >1% campaigns
3. Onboarding time >45 mins for AI users

Week 1-6: Build input processor + spec generator
Week 7-8: Internal compliance audit
Week 9: Beta test with 5 agency partners
Week 10: GA launch with opt-out toggle
Rollout constraints: Disable in EU until GDPR prompt engineering validated

Before/After Narrative:
Before: Priya (Marketing Lead, SneakerX) emails 3 colleagues for budget inputs, waits 48 hrs for responses, then submits an incomplete spec. An AdxReel strategist flags incompatible AR triggers. Three revisions delay launch by 11 days.

After: Priya inputs product category (“athletic shoes”), target demographic (“18-24 gamers”), and $20K budget. In 78 seconds, she receives a complete spec with mobile-first AR try-on and CPA target. One click submits it for creative upload.

Pre-Mortem:
It is 6 months post-launch and this feature failed because:

1. Enterprise advertisers insisted on human validation, defeating self-serve economics
2. Legal blocked key EU markets after misclassifying reward structures
3. Sales manually overrode specs to hit quarterly quotas

What Success Looks Like:
Sales ops reports 30% reduction in onboarding labor. Advertisers tweet about launching campaigns during coffee breaks. Quarterly revenue calls highlight AdxReel’s "time-to-value" as a key wedge over TikTok.