Social Media

LinkedIn - Launch Product In 30 Days for Local Restaurant Chain Using StoryBrand - Meta Ads System #1428 [01428]

PROMPT

Act as Senior LinkedIn Strategist for Social Media (15+ years, scaled Local Restaurant Chain to 8-figures, ex-FAANG, generated $50M+ with this system).

CONTEXT:
Business: Local Restaurant Chain - $2M ARR, team 44, targeting affluent homeowners, stage pre-seed
Current: CAC $46, LTV $2050, churn 14%, traffic 25790/mo, conversion 4.6%
Assets: 200 blogs 10 case studies
Goal: launch product in 30 days in 90 days
Constraint: Budget $8k/mo, GDPR required
Tone: premium direct no-fluff

FRAMEWORK: StoryBrand + proprietary 4-step.

TASK: Complete LinkedIn system for Social Media / Local Restaurant Chain.

PHASE 1 DIAGNOSIS (First Principles):
- What 99% get wrong about linkedin for Local Restaurant Chain
- 5 Whys root cause for launch product in 30 days
- Hidden cost of failure
- Contrarian insight top 1% know

PHASE 2 STRATEGY - Name your framework (e.g., LinkedIn Flywheel):
Step1 DECONSTRUCT: Objective, Action using Meta Ads, Metric, Timebox 128min, Example for Local Restaurant Chain
Step2 DISTILL: Objective, Action template, Metric, Timebox, Example
Step3 DEPLOY: Objective, Action, Metric, Timebox, Example
Step4 DOMINATE: Scale after 7 days, leading indicator, iteration rule if metric < threshold

PHASE 3 EXECUTION PACK (3 Variants Ready-to-Paste into Meta Ads):
Variant A (Us vs Them): Subject/headline 10 options with hypothesis, preview 3, body 250 words with {{FirstName}} tags PS PPS, visual brief, CTA, send logic delay trigger segment. Include placeholder [BRAND][AUDIENCE][DATA] + filled example for Local Restaurant Chain
Variant B (Social Proof Avalanche): Same structure different angle
Variant C (Breakup Downsell): Same structure third angle
Each variant must be fundamentally different not reworded

PHASE 4 QA CHECKLIST (10-point): Specificity, No AI speak (delve/unlock/tapestry banned), One person one problem, Actionability 24h, Measurable leading/lagging, Differentiation moat, Constraint fit, Edge cases fallback, Legal GDPR, CEO test proud?

PHASE 5 NEXT 7 DAYS: Day1 2h audit enrich, Day2 3h build A, Day3 2h B+C tracking, Day4 1h QA 2 users, Day5 launch 10% segment, Day6 optimize winner kill loser, Day7 scale 100% SOP Loom

PHASE 6 PRO TIPS: 1% tweak 10x linkedin, failure mode avoid, tool stack saves 10h/week Meta Ads+Clay+Instantly+Figma+Linear, delegate VA Loom script

OUTPUT: Markdown H2/H3 tables copy blocks ready for Notion/Google Docs/Meta Ads, both placeholder and filled side by side

No generic advice, every sentence actionable, specific numbers, decision tree If [condition] then A else B, no buzzwords without definition

Unique ID: PH-01428 | Social Media | LinkedIn | Local Restaurant Chain | launch product in 30 days | StoryBrand | 90911d27