Strategi Menjual 100,000 ROTI dari Iklan Meta Ads

Core case study (First Wish Bakery)

• First Wish Bakery reportedly sold 100,000 units of bread/pies via a Meta Ads-driven funnel.
• The video breaks the system into three parts: 1) Ad content strategy (Meta “Andromeda/Metaandromeda” using variations) 2) Sales process (landing page → WhatsApp) 3) CS/WhatsApp automation + follow-up (speed-to-lead, retargeting)

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1) Advertising content strategy (Meta “Andromeda” = Topics + Visuals)

What they look for (benchmarking competitor ads)

• Use the Facebook Ads Library to find ads that repeat / are still active (treated as “winning ads”).
• Screenshot/save repeated hooks and angles, especially:
  • “~200 calories” (repeated hook)
  • diet angle while still eating sweets
  • texture (e.g., softer vs “tough regular bread”)
  • implied “sweet/diet” and ingredient angles (e.g., stevia sugar mentioned)

Framework / playbook (explicit)

• “Topics + Visuals → create a market”
• Winning topics are expanded with varied creatives, such as:
  • bread-first visuals vs UGC/human visuals
  • image vs video versions
  • multiple angles combining with the same key topic (e.g., diet + “200 calories”)

Why so many variations?

• Different audiences respond to different creative formats:
  • some prefer video
  • others prefer images

Stated creative rule: “If you already have a topic that involves purchasing, please add various types of visuals.”

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2) Sales process strategy (Landing Page → WhatsApp) + conversion tracking for WA

Funnel path described

1. Meta ad → Landing page
2. Landing page → WhatsApp (WA) chat
3. Purchase happens inside WhatsApp

Landing page messaging structure (what it includes)

• Value positioning
  • “delicious as bread”
  • “healthier like regular bread”
• Credibility proof
  • lab-tested
  • “international breakers” (wording unclear, but implies external validation)
  • “chef studied abroad”
• Product knowledge
  • benefits explained
• Testimonials
• Conversion incentive
  • free shipping via admin chat

Key tracking problem & solution (WA conversions)

Problem

• If purchases happen on WhatsApp, relying only on Meta’s Meta Pixel (tracking purchases on the landing page) may not capture purchase events after the user leaves the site.

Solution

• Use Conversion API (CAPI) (the summary also references “API capion”) so Meta receives a purchase signal even though purchase happens on WA.
• Use WhatsApp flow triggers so Meta can “learn” what a purchase is.

Operational setup guidance mentioned

• When creating the campaign:
  • choose the Sales objective
• In the Ad Set:
  • for CTWA (Click-to-WhatsApp):
    • use the correct message destination approach
    • select a conversion/pixel method that matches WA tracking
  • distinction noted by the speaker:
    • CTWA: typically needs CAPI / WA-capable conversion tracking (pixel-to-purchase won’t work reliably after leaving the landing page)
    • LPWA: can use the pixel “as usual” because the website is part of the measured path

Failure mode (why results aren’t good)

• If Meta can’t properly determine whether a purchase happened (because purchase occurs on WA and isn’t tracked), Meta’s optimization underperforms.

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3) CS / WhatsApp automation + follow-up

Automation workflow (speed + personalization)

• WhatsApp automation is used to reply quickly (example time mentioned around 10:15).
• Automation segments users with direct questions (examples shown):
  • dietary/health needs such as diabetes, autoimmune, cancer
• Then the agent provides:
  • product claim: “healthy snack”
  • repeated hook around 200+ calories
  • ingredient mention: filled with stevia sugar (as stated)

Follow-up behavior

• After the initial automated segment, the operator appears to switch to human follow-up.
• Retargeting signal mentioned:
  • users received the same ads again on Instagram, implying retargeting (and/or pixel-based audiences) for WA/automation engagers.

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Concrete actionable recommendations (implied)

• Audit winning competitor hooks using Facebook Ads Library and identify repeated active ads.
• Build a testing matrix:
  • pick a core topic (e.g., ~200 calories, diet+sweet, texture, stevia)
  • produce multiple visual variants (bread imagery, UGC, human shots)
  • include both image and video creatives
• Optimize the funnel:
  • landing page with credibility proof + testimonials + clear WA CTA + free shipping incentive
• Fix Meta optimization for WA sales:
  • use Sales objective
  • add Conversion API so Meta optimizes to real purchases inside WhatsApp
• Speed-to-lead:
  • implement WhatsApp automation for instant replies
  • use human follow-up after the initial automated interaction
• Use retargeting:
  • retarget users who opted into automations / engaged via WhatsApp

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Metrics / KPIs mentioned in the subtitles

• Sales volume: 100,000 units (bread/pies) for First Wish Bakery
• Product positioning hook: ~200 calories repeated frequently
• Timing example: automation reply timing around 10:15
• No explicit targets provided for ROAS, CAC/LTV, CPA, conversion rate, AOV, or revenue.

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Presenters / sources

• Presenter: Jordan (host/explainer; “My name is Jordan.”)
• Source for ad benchmarking: Meta/Facebook Ads Library