dvcrn Ads Sales Proposal
Purpose
Core mission:
- proposal architecture, objection handling, closing path
This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.
When To Trigger
Use this skill when the user asks for:
- ad execution guidance tied to business outcomes
- growth decisions involving revenue, roas, cpa, or budget efficiency
- platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads
- this specific capability: proposal architecture, objection handling, closing path
High-signal keywords:
- ads, advertising, campaign, growth, revenue, profit
- roas, cpa, roi, budget, bidding, traffic, conversion, funnel
- meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp
Input Contract
Required:
- client_request: what the client wants to achieve
- business_context: product, margin, seasonality
- offer_scope: service package or campaign scope
Optional:
- objections
- competitor_reference
- contract_constraints
- expected_start_date
Output Contract
- Proposal Positioning
- Scope and Deliverables
- ROI Logic and KPI Commitment Range
- Objection Handling Script
- Close Plan with next steps
Workflow
- Summarize client objective and urgency.
- Translate objective into measurable ad outcomes.
- Build value argument and risk controls.
- Prepare objection responses and confidence proof.
- Output a close-ready proposal structure.
Decision Rules
- If goal is vague, anchor on one north-star KPI first.
- If budget is low, propose phased pilot with strict milestone gates.
- If trust is low, lead with transparent assumptions and reporting cadence.
Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads
Platform behavior guidance:
- Keep recommendations channel-aware; do not collapse all channels into one generic plan.
- For Meta and TikTok Ads, prioritize creative testing cadence.
- For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.
- For DSP/programmatic, prioritize audience control and frequency governance.
Constraints And Guardrails
- Never fabricate metrics or policy outcomes.
- Separate observed facts from assumptions.
- Use measurable language for each proposed action.
- Include at least one rollback or stop-loss condition when spend risk exists.
Failure Handling And Escalation
- If critical inputs are missing, ask for only the minimum required fields.
- If platform constraints conflict, show trade-offs and a safe default.
- If confidence is low, mark it explicitly and provide a validation checklist.
- If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.
Code Examples
Proposal Skeleton
section: Objective
section: Channel Plan
section: Budget and KPI Range
section: Risks and Mitigation
section: Next-step Commitment
Objection Response Map
objection: "CPA too high"
response: "Pilot 14 days with capped budget and clear stop-loss"
Examples
Example 1: Performance growth proposal
Input:
- Client wants lower CPA in 30 days
- Current channels: Meta + Google Ads
Output focus:
- pilot scope
- KPI promise range
- close checklist
Example 2: New product launch proposal
Input:
- Client has no baseline data
- Wants global ads rollout
Output focus:
- phased contract scope
- risk clauses
- reporting cadence
Example 3: Renewal negotiation proposal
Input:
- Existing client doubts ROI
- Needs proof before extension
Output focus:
- retrospective evidence summary
- revised operating model
- signed next-step plan
Quality Checklist
- Required sections are complete and non-empty
- Trigger keywords include at least 3 registry terms
- Input and output contracts are operationally testable
- Workflow and decision rules are capability-specific
- Platform references are explicit and concrete
- At least 3 practical examples are included