You have a good starting position for a first paid campaign: 180 historical purchases give Meta meaningful first-party purchase data, even though those purchases came organically. I would not build a complicated 10-campaign account. At $5,000/month, consolidation and creative volume are more important than dozens of audience segments. Meta itself recommends simplifying account structure and minimizing changes during learning. Your initial spend is about $167/day. One important caveat: a 3.5× ROAS target is only economically meaningful if your gross margin supports it. At 3.5× ROAS, $5,000 in ad spend must produce about $17,500 in attributed revenue/month. If AOV is $90, that's roughly 195 purchases/month, or about 6.5 purchases/day. 1. Advertising Strategy Foundation Primary objective Meta Sales → Website → Purchase optimization Do not optimize for: Traffic Video views Engagement Add to cart Landing-page views Those can be useful diagnostic metrics, but your advertising system should ultimately teach Meta to find buyers. Meta's Sales objective is specifically designed around the business result you want. For the current Meta setup, I would make Advantage+ Sales Campaign your primary prospecting engine. Meta describes it as an automated sales solution that optimizes audience, placements, creative and budget. Your funnel COLD Instagram/Facebook → video/static/carousel → product page → purchase ↓ WARM Website visitors + Instagram/Facebook engagers + product viewers → proof/objection-handling ads → purchase ↓ CUSTOMER Purchasers → complementary products → bundles → new collections → repeat purchase --- Recommended $5,000/month allocation Campaign Monthly Daily Purpose Prospecting / Advantage+ Sales $3,750 $125 New customer acquisition Retargeting $750 $25 Convert warm traffic Creative/testing reserve $500 $16.67 Controlled experiments Total $5,000 $166.67 I would not initially split $5,000 into five tiny campaigns. At this spend level, you want enough conversion density for Meta's system to learn. Meta also recommends minimizing unnecessary ad-set fragmentation during learning. After validation Once you consistently achieve your economics: $5k → $7.5k → $10k → $15k → $20k/month Don't increase simply because ROAS was good for three days. --- 2. Audience Targeting System Your core customer hypothesis Women: 22–45 Fitness-active Exercise 3–5× weekly Care about fabric, construction and fit Will pay $65–$120 for activewear Follow fitness creators Already understand premium activewear Have disposable income for performance/lifestyle apparel But there's an important strategic shift: Don't make "fitness interests" your primary targeting strategy. Your creative should identify the customer, while Meta's algorithm finds the people most likely to purchase. Meta's Advantage+ audience can use customer lists, interests and lookalikes as signals while expanding beyond them. --- Cold audience #1 — Broad Women 22–45 Relevant locations only. No interests. Use: Advantage+ audience Advantage+ placements Purchase optimization Purchase/customer exclusions This is your control. --- Cold audience #2 — Fitness Audience suggestions: 1. Women's fitness 2. Strength training 3. Weight training 4. Pilates 5. Running --- Cold audience #3 — Premium activewear Test combinations around: Premium athletic apparel Activewear Athleisure Sportswear Fitness apparel Online fashion shopping Don't over-stack 15–20 interests into one audience. You want interpretable tests. --- Cold audience #4 — Fitness influencer ecosystem Test relevant interests involving: Fitness influencers Women's fitness creators Workout content Fitness media Strength/conditioning content The exact interests available will depend on Meta's current targeting inventory. --- Cold audience #5 — Premium fashion + fitness Combine: Fitness/active lifestyle + premium fashion/online shopping This is designed to approximate: > "I exercise AND I spend money on quality clothing." That is much closer to your commercial customer than simply targeting "women interested in fitness." --- Lookalike strategy Your 180 purchasers are your most valuable historical dataset. Create: LAL #1 1% Purchasers LAL #2 1–3% Purchasers LAL #3 1% High-value purchasers If your ecommerce platform contains enough usable data, eventually create a source based on: highest AOV repeat purchasers highest lifetime value customers who bought multiple products Meta supports Custom Audiences and lookalikes based on customer information and pixel activity. Important Don't create six different lookalike ad sets and divide $125/day among them. At your budget, use the purchase lookalike primarily as an audience signal/suggestion, not as a reason to create massive account fragmentation. --- Broad targeting test Your most important audience test is: Broad vs purchase-derived signal vs fitness audience You may discover that Meta's algorithm finds profitable customers outside the obvious "fitness woman" profile. That would be a major scaling advantage. --- Warm retargeting Create: 0–7 day Product viewers Add-to-cart Initiate checkout Website visitors Highest intent. 8–30 day Website visitors Product viewers Instagram engagers Facebook engagers 31–180 day Use selectively for: Previous product viewers Engagers Previous customers for cross-sell --- Customer audiences Create: All purchasers 30 days All purchasers 90 days All purchasers 180 days Repeat purchasers High-value purchasers Customers by product category Then use them differently. Prospecting exclusion Exclude: Purchasers 180 days from acquisition campaigns if your immediate goal is new-customer acquisition. Retargeting Do not automatically exclude purchasers from every campaign. Someone who bought leggings may be an excellent prospect for: sports bras matching sets new colors new collections --- 3. Complete Creative Strategy Your biggest advantage is not targeting sophistication. It's creative. You need to communicate why someone should spend $90 on your leggings rather than $30. Your creative pillars should be: Pillar 1 — Fabric "Feel the difference." Show: stretch compression softness thickness recovery sweat handling Pillar 2 — Fit Show the product on multiple body types. Address: waistband squat coverage seams camel toe prevention compression length fit consistency Pillar 3 — Performance Show actual training. Not just models standing in studios. Pillar 4 — Premium lifestyle Position the product as: performance + confidence + everyday wear Pillar 5 — Social proof Use: customer reviews UGC before/after outfit comparisons customer try-ons creator demonstrations --- Campaign Creative Brief Campaign A — Cold prospecting Video concept: "The Legging Test" 30–45 seconds 0–3 sec — Hook Model grabs waistband: > "If your leggings do THIS during a workout, it's time for an upgrade." Cut immediately to training. 3–10 sec Show: squat lunge deadlift stretching Voiceover: > "We designed these for women who actually train—not just women who want to look like they train." 10–20 sec Macro fabric shots. Show stretch/recovery. > "High-quality fabric, supportive compression and a fit designed to stay where it belongs." 20–30 sec Different body types wearing the leggings. > "Because premium activewear should feel as good at the gym as it looks outside it." 30–40 sec Product + customer proof. > "Try your new favorite training set." CTA: Shop Now --- Static concepts Static #1 — Product quality Large product image. Headline: "Your workout deserves better fabric." Subtext: Premium feel. Secure fit. Built to move. --- Static #2 — Fit Three women with different body types. Headline: "One fit. Multiple bodies. Zero compromise." --- Static #3 — Pain point Close-up waistband. Headline: "Squat. Stretch. Sprint. Stay covered." --- Carousel Slide 1 Meet your new training uniform. Slide 2 Soft enough for all-day wear. Fabric close-up. Slide 3 Supportive enough for serious training. Workout image. Slide 4 Designed to stay put. Waistband/fit demonstration. Slide 5 Made for your body—not a mannequin. Multiple body types. Slide 6 Find your fit. Product selection + CTA. --- Copy system Short > Your leggings shouldn't distract you from your workout. Premium fabric. Supportive fit. Designed to move with you—not against you. Find your new favorite training set. CTA: Shop Now --- Medium > You shouldn't have to choose between performance and feeling amazing in your activewear. Our leggings and sports bras are designed around the details that matter when you're actually moving: premium fabrics, supportive construction, comfortable fits and coverage you can trust. From strength training to Pilates to your everyday routine, these are pieces designed to work hard and look good doing it. Upgrade your training wardrobe. --- Long-form > You know the feeling. You're halfway through your workout and you're thinking about your leggings instead of your workout. Is the waistband rolling? Are they becoming transparent when you squat? Are they sliding down? Is the fabric uncomfortable? Do you constantly have to adjust your sports bra? Your activewear shouldn't create another problem to solve. We created our collection for women who train regularly and expect more from what they wear. Premium fabrics. Thoughtful construction. Support where you need it. Comfortable fits designed to move with your body. Whether you're lifting, running, stretching, taking a class or simply living in your activewear, every detail is designed around movement. Because premium activewear isn't about putting a logo on expensive fabric. It's about creating something you genuinely want to wear—and trust when you're pushing yourself. Find your next training set and experience the difference for yourself. --- 10 headline options 1. Premium Activewear Made to Move 2. Your New Favorite Training Set 3. Meet Your New Go-To Leggings 4. Built for Women Who Train 5. Premium Fit. Serious Performance. 6. Activewear That Moves With You 7. Train Hard. Feel Good. 8. Upgrade Your Workout Wardrobe 9. Designed for Your Hardest Workouts 10. Feel the Difference in Every Move --- CTA guide Use: Shop Now as your default. Test: Shop Now View Collection Get Yours Avoid overly soft CTAs like "Learn More" unless the creative is intentionally educational. --- 4. Campaign Structure Account structure Keep it simple. META AD ACCOUNT │ ├── C01 | PROSPECTING | ADV+ SALES │ ├── Broad │ └── Purchase/fitness audience signals │ ├── C02 | RETARGETING | SALES │ └── Warm audiences │ └── C03 | CREATIVE TESTING └── Controlled experiments The exact current Meta interface may present Advantage+ differently from older campaign structures; Meta's current Advantage+ Sales setup is explicitly designed to automate audience, placement, budget and creative decisions. --- Recommended initial setup Campaign 1 $125/day Objective: Sales Conversion: Website Optimization: Purchase Audience: Broad/Advantage+ Age: 22–45 Gender: Women Placements: Advantage+ placements Meta recommends automated placements as a way to allow its system to find cost-effective opportunities across placements. --- Campaign 2 — Retargeting $25/day Audience: Website visitors 30d Product viewers 30d ATC 30d IG engagers 30d Exclude: Purchasers 30d Creative: Reviews UGC Fit demonstrations Product details Objection handling --- Campaign 3 — Testing Approximately: $16–17/day Use this carefully. Its job is not to generate enormous revenue. Its job is to answer: > "Which new creative deserves more budget?" --- Budget and bidding Start with: Lowest cost / maximize conversions Do not begin with aggressive cost caps. Your first job is to establish the auction's ability to find buyers. Once you have substantial purchase data and a stable CPA, test more controlled bidding only if needed. --- Pixel + Conversions API Your existing Pixel should be audited before launch. Required events: 1. PageView 2. ViewContent 3. AddToCart 4. InitiateCheckout 5. Purchase Make sure Purchase includes: value currency product/content IDs event ID where required for deduplication Also implement Conversions API alongside the Pixel where your ecommerce platform supports it. Meta says using CAPI with the Pixel can improve event reliability, matching and measurement. Before spending $1 Perform a test purchase and verify: Browser event → Meta Events Manager → Purchase → correct value Do not launch until this is clean. --- UTM structure Use: utm_source=facebook utm_medium=paid_social utm_campaign={{campaign.name}} utm_content={{ad.name}} utm_term={{adset.name}} Example: utm_source=facebook utm_medium=paid_social utm_campaign=PROSPECTING_ADVPLUS utm_content=UGC_LEGGING_TEST_01 utm_term=BROAD Your ecommerce analytics should then allow you to reconcile: Meta reported revenue vs actual store revenue. --- 5. Testing & Optimization System The most important rule Test one major variable at a time. Bad test: new audience new video new offer new landing page new headline all simultaneously. You won't know what caused the result. --- Creative testing hierarchy Test in this order: Level 1 — Hook Example: > "If your leggings roll down during squats, watch this." vs. > "We spent months testing the perfect training fabric." Level 2 — Angle Fit Fabric Performance Confidence Social proof Level 3 — Format UGC Founder Product demonstration Model Static Carousel Level 4 — Offer Full-price Bundle Free shipping First-order incentive Limited collection --- Audience test priority My order would be: 1. Broad ↓ 2. Purchaser-derived signal ↓ 3. Fitness audience ↓ 4. Premium activewear/fashion ↓ 5. Narrow combinations But don't assume narrow targeting will win. The purpose of the experiment is to discover whether Meta can outperform human targeting. --- Creative kill rules Don't kill an ad simply because it has a bad first day. Instead evaluate: Early diagnostic If an ad gets substantial impressions but: very low CTR poor thumb-stop weak engagement poor landing-page behavior → creative problem. If people click but don't purchase: → landing page / offer / product / price problem. If people add to cart but don't purchase: → checkout, shipping, pricing, trust or offer problem. This distinction is critical. --- Practical decision tree High CTR + low CVR Investigate: product page price reviews sizing shipping trust offer Low CTR + good CVR Creative isn't attracting enough people. Change: hook/visual/angle —not the product page. High CTR + high CVR + high CPA Potentially: CPM/audience/auction issue Good CPA + poor AOV Improve: bundles upsells cross-sells minimum free-shipping threshold --- Your core economics At a 3.5× ROAS target: Metric Approximate target Monthly spend $5,000 Monthly revenue $17,500 Daily spend $167 Daily revenue $583 AOV $80 219 orders/month AOV $90 194 orders/month AOV $100 175 orders/month AOV $110 159 orders/month AOV $120 146 orders/month CPA formula Target CPA = AOV ÷ target ROAS For example, at $90 AOV: $90 ÷ 3.5 = $25.71 So your approximate acquisition target would be: ≤ $25.71 CPA But again, your real allowable CPA should come from contribution margin, not ROAS alone. --- 6. Weekly Optimization Checklist Every Monday: Account [ ] Check spend vs budget [ ] Check purchases [ ] Check CPA [ ] Check ROAS [ ] Check AOV [ ] Check CPM [ ] Check CTR [ ] Check CPC [ ] Check conversion rate [ ] Check frequency Creative [ ] Identify top 3 creatives [ ] Identify bottom 3 creatives [ ] Identify strongest hook [ ] Identify strongest angle [ ] Identify strongest format [ ] Launch 2–4 new creative variations Funnel [ ] Check landing-page conversion [ ] Check ATC rate [ ] Check checkout rate [ ] Check purchase rate [ ] Check mobile experience Tracking [ ] Verify Purchase events [ ] Check event values [ ] Check attribution anomalies [ ] Compare Meta revenue against ecommerce revenue [ ] Check UTM reporting --- Monthly campaign audit Review: Financial Total spend Revenue Contribution margin ROAS CPA AOV New vs returning customer revenue Audience Broad performance Lookalike performance Interest performance Geographic performance Age performance Creative Identify: Winning hook Winning promise Winning visual Winning format Winning product Then create five new variations of the winner. Don't just keep searching for a completely new concept. --- 7. 90-Day Performance & Scale Roadmap Week 1–2 — Launch Budget: $5,000/month pace Focus: Tracking Data collection Creative testing Purchase volume Landing-page behavior Don't make daily changes. You are buying information. Meta's delivery system needs time to learn which audiences, placements and ads work. Meta specifically recommends minimizing changes during the learning phase. Goal Identify: first winning creatives realistic CPA realistic AOV initial ROAS strongest products --- Week 3–4 — First optimization Start cutting obvious losers. Keep: 3–5 strongest creatives broad audience strongest customer-derived signal proven retargeting Launch new variations based on what worked. Example If "squat-proof" beats "premium fabric": Don't create another random premium-fabric ad. Create: squat-proof UGC squat-proof static squat-proof creator squat-proof comparison squat-proof testimonial You're turning one winning insight into a creative family. --- Month 2 — Winner scaling If performance is stable: Vertical scaling Increase budget gradually. Example: $125/day → $140 → $160 → $180 Don't jump immediately from $125 to $300. Horizontal scaling Add: new creatives new creators new hooks new products new angles new audiences Horizontal scaling is particularly important because eventually your original creative pool will fatigue. --- Month 3 — Scale toward $20k Target progression: Stage Monthly budget Validation $5k Stage 2 $7.5k Stage 3 $10k Stage 4 $15k Scale $20k At 3.5× ROAS: Spend Revenue required $5k $17.5k $7.5k $26.25k $10k $35k $15k $52.5k $20k $70k That means the real objective isn't: > "Make $5k produce 3.5× ROAS." It's: > Prove that the business can maintain acceptable contribution economics as spend increases. --- Your scaling gates I would use something like this: Gate 1 — Validate Minimum: 3.0× ROAS for a meaningful period with sufficient purchase volume. ↓ Gate 2 — Scale to $7.5k Maintain: ≥3.0× ROAS and acceptable CPA. ↓ Gate 3 — Scale to $10k Maintain: ≥3.0–3.5× ROAS while creative fatigue remains manageable. ↓ Gate 4 — Scale to $15k Require: stable CPA stable AOV adequate purchase volume multiple winning creatives healthy contribution margin ↓ Gate 5 — $20k You should have: several creative concepts multiple winning hooks proven broad acquisition reliable tracking repeat-purchase economics strong product-page conversion sufficient inventory --- The biggest opportunity I see Your 180 organic purchases are more valuable than the raw number suggests. You shouldn't treat this as a completely data-less new account. Use those customers as your first-party learning foundation, while simultaneously testing broad acquisition. Meta's current Advantage+ system is designed to use customer knowledge and AI to find likely converters beyond manually defined audiences. The other major opportunity is creative-market fit. For a $65–$120 activewear product, the ad needs to answer: > "Why should I pay premium pricing for this instead of buying $25 leggings?" If your ads can visually demonstrate the answer—fabric, fit, squat coverage, compression, durability, comfort and real customer results—you have a much stronger path to 3.5× ROAS than trying to find an ultra-specific interest audience. Recommended launch configuration $125/day — Prospecting Advantage+ Sales Women 22–45 Relevant markets Purchase optimization Broad + purchaser/fitness signals Advantage+ placements 5–8 genuinely different creatives $25/day — Retargeting 0–30-day visitors/product viewers ATC/checkout audiences IG/FB engagers Strong UGC + reviews + product proof $16–17/day — Creative testing New hooks New UGC New product demonstrations New objections New angles And every week: kill weak creative, preserve winners, and create multiple variations of the winning concept. That is the system I would use to take this brand from $5k/month → validated profitability → $10k → $20k/month, rather than trying to build a complicated audience-heavy account from day one.