1. Campaign Strategy & Objective Business objective: Generate profitable purchases of the ₹499 eBook. Conversion objective: Purchase. Funnel stage: Primarily bottom-of-funnel conversion, supported by prospecting and retargeting. Recommended campaign architecture: Start with 1 Sales campaign rather than creating multiple fragmented campaigns. Acquisition vs retargeting: 80% budget for prospecting. 20% budget for retargeting. Key assumptions: Pixel and Purchase event are correctly configured. Landing page is mobile-friendly. Payment process works smoothly. ₹499 price is the final customer price. Tracking requirements: Meta Pixel. Purchase event. ViewContent. InitiateCheckout. UTM parameters. Purchase value tracking. --- 2. Campaign & Ad Set Structure Campaign 1: SALES | PROSPECTING | ₹800/DAY Objective: Sales Ad Set 1: Broad India Audience: Broad Location: India Age: 18–44 Gender: All Placements: Advantage+ placements Budget: ₹500/day Optimization: Purchase Ad Set 2: AI/Entrepreneurship Interests Audience: AI, ChatGPT, freelancing, entrepreneurship, digital marketing-related interests Location: India Age: 18–44 Gender: All Placements: Advantage+ placements Budget: ₹300/day Optimization: Purchase Campaign 2: SALES | RETARGETING | ₹200/DAY Ad Set 1: Website Visitors + Engagers Website visitors: 30 days Instagram/Facebook engagers: 30 days Video viewers: 30 days Exclude purchasers. Location: India Age/gender: All relevant users Placements: Advantage+ placements Budget: ₹200/day Optimization: Purchase Existing Customers Don't allocate a separate campaign initially because the budget is only ₹1,000/day. Create a customer list and exclude purchasers from prospecting. Later, test upsells or another digital product to existing customers. --- 3. Audience Testing Framework 1. Broad Audience Purpose: Allow Meta's algorithm to find potential buyers. Expected role: Primary scaling audience. Testing priority: High. Exclusions: Existing purchasers and active retargeting audiences where appropriate. Overlap risk: Low. 2. Interest-Based Audience Purpose: Give Meta an initial signal around AI and online-income interests. Expected role: Testing/control audience. Testing priority: Medium. Exclusions: Purchasers and warm audiences. Overlap risk: Medium. 3. Lookalike Audience Purpose: Find users similar to existing buyers. Expected role: Future acquisition expansion. Testing priority: Low initially. Exclusions: Existing purchasers. Overlap risk: Medium. Requirement: Enough quality purchase/customer data. 4. Warm Audience Purpose: Convert users already familiar with the brand. Expected role: Retargeting. Testing priority: High. Exclusions: Purchasers. Overlap risk: High if multiple warm audiences are separated unnecessarily. 5. Website Visitors Purpose: Recover people who visited but didn't purchase. Expected role: Retargeting. Testing priority: High. Exclusions: Purchasers. Overlap risk: Low when consolidated. 6. Customer/Engagement Audiences Purpose: Build future upsell and repeat-purchase opportunities. Expected role: Retention and expansion. Testing priority: Medium. Exclusions: From acquisition campaigns. Overlap risk: High if mixed with website visitors without proper exclusions. Recommendation: With only ₹1,000/day, avoid creating 5–10 separate ad sets. Start with Broad + Interest prospecting + one consolidated retargeting ad set. --- 4. Creative Testing Architecture Test Hypothesis Control Variation Primary KPI Secondary KPI Priority Decision Rule Hook A stronger income-focused hook increases attention "Learn Prompt Engineering" "Turn AI Skills Into Your First Online Income" CTR CPC High Keep variation if CTR improves without hurting CPA Visual Showing the actual eBook improves trust Static product image Screen recording/page preview CPA CTR High Keep lower-CPA version Format Reels can generate cheaper qualified traffic Static image 20-sec Reel CPA LPV High Compare after sufficient spend Offer Bonus increases purchase intent eBook only eBook + bonus prompt pack CPA CVR Medium Keep if incremental profit improves Copy Pain-point messaging increases conversion Feature-focused copy Beginner problem/solution copy CPA CVR High Keep if purchase efficiency improves CTA Stronger CTA increases action "Learn More" "Get the eBook for ₹499" CPA CTR Medium Keep based on purchase data Creative angles to test: "You don't need coding to start using AI." "Stop collecting AI tools. Learn how to monetize them." "Beginner's roadmap to prompt engineering." "Learn a skill you can use for freelancing and digital products." "What if your ChatGPT skills could become an income stream?" Decision principle: Don't select a winner based only on CTR. A creative with a lower CTR can still be the winner if it generates cheaper purchases and better ROAS. --- 5. Budget, Optimization & Scaling Plan Initial ₹1,000/day allocation: Prospecting Broad: ₹500 Prospecting Interest: ₹300 Retargeting: ₹200 Testing budget: Allocate approximately 70–80% toward proven acquisition. Use 20–30% for creative/audience testing. Scaling criteria: Scale when: Purchases are consistent. CPA is below the maximum profitable CPA. ROAS is acceptable. Conversion rate remains stable. No major increase in frequency or CPM. Increase budget gradually, for example 15–25% at a time, rather than making huge jumps. Pause criteria: Consider pausing when: CPA is consistently above the acceptable level. Creative has spent enough without producing meaningful conversion signals. Landing-page conversion is poor despite strong traffic. Frequency becomes high and performance deteriorates. Creative refresh triggers: CTR starts declining. CPC starts increasing. CPA increases. Frequency rises while conversions fall. Comments indicate creative fatigue. KPI dashboard: CPM: Measures auction cost. CTR: Measures ability to generate clicks. CPC: Measures traffic efficiency. Landing Page View Rate: Determines whether clicks actually become page visits. Conversion Rate: Measures landing-page and offer effectiveness. CPA: Most important acquisition-cost metric. ROAS: Determines revenue efficiency. Frequency: Helps identify audience/creative fatigue. Diagnosis example: High CPM + normal CTR = audience/auction problem may exist. Low CTR + high CPC = likely creative/hook problem. Good CTR + poor LPV = page-load or click-quality issue. Good LPV + poor conversion rate = landing-page/offer/trust/payment problem. Good conversion rate + high CPA = traffic cost may be too high. Good CPA + good ROAS = candidate for scaling. --- 6. Execution Roadmap Pre-launch checklist [ ] Meta Pixel installed. [ ] Purchase event tested. [ ] Purchase value tracked correctly. [ ] Landing page works on mobile. [ ] Payment gateway tested. [ ] Thank-you page configured. [ ] UTM tracking added. [ ] Purchasers excluded from prospecting. [ ] 4–6 creatives prepared. [ ] Retargeting audiences created. Day 1–3 monitoring plan Check delivery. Check CPM. Check CTR. Check CPC. Check landing-page views. Check purchase events. Check technical issues. Don't make major decisions from a few hours of data. Day 4–7 optimization plan Identify weak creatives. Compare Broad vs Interest. Check landing-page conversion rate. Check CPA and ROAS. Review comments and user feedback. Shift budget toward stronger performers if the data supports it. Week 2 testing plan Test: 1. New hooks. 2. New Reel concepts. 3. Different pain-point angles. 4. Different offers/bonuses. 5. New landing-page headline. 6. Social proof variations. 30-day scaling roadmap Days 1–7: Establish baseline and eliminate obvious losers. Days 8–14: Improve creative and landing-page conversion. Days 15–21: Increase spend on profitable combinations and introduce new creative. Days 22–30: Expand winning audiences, test lookalikes if sufficient purchase data exists, and develop a larger creative pipeline. What to change first 1. Creative/hook. 2. Landing-page conversion issues. 3. Offer/value proposition. 4. Audience. 5. Budget scaling. What not to change too quickly Don't change audience, creative, budget, landing page, and optimization event simultaneously. Don't judge an ad only from CTR. Don't duplicate every small winner into multiple campaigns. Don't make large budget increases before confirming stable economics. Creative vs audience vs landing-page diagnosis Low CTR: Creative/hook problem. Good CTR but expensive CPC: Auction/audience/creative efficiency issue. Good traffic but poor conversion: Landing page, offer, trust, or checkout problem. Good conversion but expensive CPA: Traffic acquisition cost needs improvement. High frequency + falling CTR: Creative fatigue or audience saturation. Scaling strategy Start with controlled budget increases. Once profitable, gradually expand: Broad → winning creatives → larger budget → lookalikes → additional creative angles → new audiences. Reporting framework Report weekly: Spend Purchases Revenue CPA ROAS CPM CTR CPC LPV rate Conversion rate Frequency Best creative Best audience Biggest problem Next week's test Final test hypothesis: The biggest opportunity is likely to come from finding a strong creative + offer + landing-page combination, rather than creating many fragmented audiences.