Video summary
Treinamento #67 - Parte 02
Main summary
Key takeaways
Main ideas, concepts, and lessons
1) Training schedule + preference for when to teach
- The instructor says training will no longer be only on Saturdays, because Saturdays are stressful at home.
- Preferred timing: weekday evenings (Monday/Tuesday/Wednesday nights), since people work during the day.
- The instructor asks everyone to respond in writing with scheduling preferences.
- Mentions that classes are recorded afterwards, and references differences between in-person vs. online performance.
2) Mindset about participation (“broke by choice”)
- Motivational messaging frames people who come for free as “broke,” implying the expected behavior is to invest seriously to learn.
- Encourages a commitment to learning and implementation rather than seeking free access.
3) Digital product creation + campaign strategy overview
The instructor frames the session structure as:
- Validation
- Scale
- How to create a digital product quickly
- Mentorship program presentation
4) Core definitions: Campaign optimization (what it means)
Optimization is defined repeatedly as:
- Improving performance metrics using data, not guesses.
Key idea:
- Optimization = improve results (profit/conversion efficiency) by making changes based on metrics.
5) Metrics-driven approach (analyze first, then act)
The instructor emphasizes:
- Metrics don’t lie
- Don’t endlessly change the structure
Timing rule:
- Wait for an initial learning period—specifically, wait at least 3 days before making optimization decisions.
6) Facebook Ads structure (3-level “ladder”)
A Facebook advertising account structure is described as:
- Campaign → sets the goal (e.g., sales)
- Ad set → defines targeting/audience
- Ad / Creative → the specific creative shown to the audience
Important instruction:
- Don’t build overly complex structure. Maintain a consistent workflow and focus on metrics.
7) How the instructor builds the ad account/campaigns (practical flow)
A step-by-step workflow is described:
Campaign creation steps (as described)
In Ads Manager:
- Open Campaigns
- Click Create campaign
- Choose objective: Sales
- Set the campaign name
- Set budget (example discussed around a daily threshold such as R$100/day)
Then proceed to:
- Ad set
- Choose targeting (e.g., open vs interest/niche)
- Example logic:
- Use open targeting when the offer is broadly interesting
- Use interest/niche targeting when the offer is specific
- Advertisement / creative
- Choose/upload assets (images/videos/copy)
- Include price in titles/copy to support conversions
8) Creative strategy: use viral videos + copywriting formulas
The instructor recommends:
- Use highly validated/viral videos (TikTok is mentioned)
- Prefer creatives with proven attention (e.g., high view counts such as ~500k–1M views)
- If not using your face:
- Repurpose viral content and upload it as ad creative
Copywriting approach:
- A “news report” / Google-ranked text inspiration method for engagement
- Mentions COP as a framework (hook + engagement + call to action)
- Emphasizes including the price in:
- the headline/title
- and the body text
9) Ad optimization method: horizontal vs. vertical thinking
Optimization philosophy:
- Horizontal analysis
- Compare performance across many creatives/campaigns
- Identify what performs better/worse versus targets
- Vertical optimization
- Keep/bet more on what’s performing above the weighted average
- Stop/remove what is performing below
Goal:
- Improve metrics by:
- cutting loss-causing creatives
- keeping winners
- raising/rotating creatives rather than randomly changing everything
10) Validation → scale relationship (what “scale” is)
Key arguments:
- Don’t scale by spending more before validation
- Scaling is not just “increase budget blindly”
- Increase budget only when results are validated:
- If metrics worsen, remove/increase cautiously
Metaphor used:
- Climbing a hill/mountain:
- continue when conditions are good
- go down when conditions worsen
11) Budget management: “daily opportunity” and “good/bad days”
The instructor repeatedly stresses fluctuations:
- auctions/delivery change day to day
Strategy:
- Bad days → keep budget low or stop
- Good days → increase budget
Encourages:
- letting systems run
- checking after enough time
- adjusting based on signals
12) Example calculations: reverse engineering CPA/CPC targets
The instructor demonstrates how to set thresholds by working backward:
- Determine the maximum allowed CPA based on what you can pay
- Derive maximum bounds for CPC and related metrics (CTR/CPM referenced)
Purpose:
- know what performance level is acceptable within product/funnel economics
13) Launch/lead capture “technical role-play”
A scenario is used for lead buying/running ads and managing CPL:
- Leads must be captured within a fixed timeframe (example: 5 days)
- A criticized behavior: “segmentation” and wrong optimization that wastes budget
- Alternative:
- wait for momentum
- adjust budget over the day as performance signals appear
14) Mentorship program pitch: structure + content + guarantees
A major portion is dedicated to pitching a mentorship program.
Core claims about mentorship
- Bi-weekly meetings (every 15 days) for a year in some cases
- Group service with individualized attention
- WhatsApp support
- mentions a 24-hour WhatsApp group
- ability to message anytime (with claims of instructor/partner support)
Focus of responsibility
- Instructor provides responsibility for content
- Students provide:
- financial investment
- desire/willingness to act
“Pillars” listed for students
- Knowledge (content provided)
- Financial resources (students must invest)
- Desire/willingness (student responsibility, per instructor’s framing)
Bonuses and additional training
Mentions include:
- “chameleon method”
- WhatsApp sales training
- additional courses and content updates
- “hot site” / individualized diagnosis and action plan sessions
- prizes/ceremonies/awards tied to milestones
15) Guarantee/refund claims (as stated)
The mentorship refund/guarantee is described multiple times, referencing:
- payment/processor: Lestlink / Link
A “bet” is described:
- If student criteria aren’t met within 6 months, money is refunded
- Criteria include examples such as:
- attending some portion of classes
- participating in group meetings
- requirements resembling “watch 50%,” “attend 80%,” and participating in private conversations/meetings
- The overall structure is: requirements → refund if not achieved
16) How to “create a course” using GPT (micro-course generation challenge)
Workflow to convert a YouTube lesson into course modules.
Step-by-step “GPT micro-course” methodology
- Choose a niche/topic (example: nutrition, women’s health, pregnancy)
- Find a YouTube lesson
- Use a “YouTube Summary”/transcription tool to obtain transcript text
- Paste transcript into GPT with instructions to:
- create micro-courses for beginners
- later used to spark interest for consulting/mentoring
- GPT generates multiple micro-course titles/lessons (example: ~5–9)
- For a chosen micro-course:
- request modules and lessons
- ask for detailed lesson structure (including ebook-style content)
- Final result:
- student records videos according to the generated structure
17) How to make Facebook ads creatives for that course (COP + assets)
- Courses are described as “meaningless” until packaged with strong marketing elements
- Recommendations:
- use a sales page template + creative templates
- copy/adapt headlines, benefits, urgency/discount components
- Emphasizes:
- sell low-ticket first
- potentially upsell later
18) “Three things to succeed in digital marketing”
The instructor summarizes main barriers as:
- Knowledge (provided if the student joins mentoring)
- Financial resources (student must invest; no “free knowledge that works” is claimed)
- Desire (student must want to act/participate)
Methodologies / instructions (detailed bullet format)
A) Campaign optimization workflow (metric-first)
- Create campaign structure:
- Campaign (Sales objective)
- Ad set (audience/targeting)
- Ads/Creatives (content)
- Launch ads
- Do not optimize immediately
- wait at least 3 days
- Then optimize based on metrics:
- use weighted averages
- compare creatives above vs. below target thresholds (e.g., CPC threshold)
- Stop/cut creatives that spend but don’t drive sales/conversions
- Keep/scale only performers that improve the metrics
- Rotate creatives:
- change photos/assets
- keep the best mechanics
B) Audience targeting rule of thumb (open vs. niche)
- If the offer is attractive to “everyone”:
- use open ad set targeting
- If the offer is for a specific profile:
- use interests/niche targeting
- Warning:
- segmenting too aggressively when scaling may increase auction costs
C) Creative production rules (ads that convert)
- Use validated/viral videos (e.g., TikTok)
- Provide copy that includes:
- price in title and text
- strong hook (engagement)
- call to action
- Face is optional if the creative is strong
- Use “news report” style inspired copy to increase engagement
D) Validation before scaling (scaling rule)
- Reverse engineer targets:
- determine max acceptable CPC/CPA based on product economics
- Run until performance metrics are validated
- If metrics improve / remain within thresholds:
- gradually increase budget
- If metrics worsen:
- pause/reduce back to a safer spend level
- Scaling is daily:
- adjust budget based on day-to-day metric opportunity
E) Facebook structure principle (don’t overbuild)
- Don’t get lost building complex structure
- Focus on:
- metrics
- consistent workflow
- Structure supports testing; it’s not the goal by itself
F) GPT micro-course generation process
- Pick niche/topic
- Find and transcribe a YouTube lesson
- Paste transcript into GPT with instructions to generate beginner micro-courses
- Select one micro-course and request:
- modules
- lessons
- ebook-style detailed content
- Record content following GPT’s structure
Speakers / sources featured
Named individuals and roles
- Speaker/host: Jonathan (also referenced as Jonathan/Jonattha/Jonta)
- Partner/financial contact referenced: Arthur (handles payment/format/payment discussions)
- Mentorship/presenter referenced: Giovana Lisa / Giovana
- Other people mentioned:
- Eron, Adri/Adrielle, Josiane, Fernanda (lawyer), Lilian, Adriana, Rodolfo, Bruno (account seller), Pablo Cabral (unclear role), Léo/Leo (hot-site session), Diogo, Regivardo, Alexandre, Cláudio, Galdinho, Marçal/Marçal (examples)
Platform/source tools mentioned
- Facebook Ads Manager
- Facebook Pixel
- YouTube Summary / transcription
- GPT / ChatGPT
- TikTok (viral video sourcing)
- WhatsApp (mentorship support/sales training)
- Lestlink / Link (payment/refund mechanism in the pitch)