Video summary
Larguei a Engenharia e Fiz 10 Milhões com IA e Funil Low Ticket | Guilherme Torrejon - Kiwicast #710
Main summary
Key takeaways
Business summary (what the company does + strategy)
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Company (Congresso / “Congresse” platform) founded in 2019. Originates from online congresses and evolves into a healthcare / professional education ecosystem.
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Primary clients / audience
- B2C: doctors, nutritionists, veterinarians, psychologists, physiotherapists + undergrad and practicing professionals
- B2B: companies that promote events/congresses (they provide the online congress platform + services)
- Two business models
- B2C digital products: courses, mentoring, postgraduate programs sold to professionals via funnels
- B2B platform for congresses/scientific events: lead gen + registration platform + certification
- Core niche positioning: focus on highly specific healthcare/professional “micro-pain points” (e.g., nutrition for alopecia; fish anesthesia; menopause nutrition) because broad health offers are too competitive.
Origins + growth journey (execution lessons)
- Motivation / problem: In Brazil, people can’t easily attend costly in-person events. Online congresses let professionals stay updated across long distances.
- Early execution (2017–2019)
- First event built manually with ~R$100 ad spend
- Mainly relied on networking / academic partners
- First launch: R$12,000 sold in one day
- First congress results: 3,000 registered participants (driven by community/academic channels, not paid funnels)
- Content production scaled from “recorded lectures manually” to multiple formats (interviews/roundtables) to improve engagement and speaker reliability.
- Key operational risk early: speaker non-deliveries
- Solved by requiring a recording format, adding an “operator” to schedule/record, and using an internal organizer role as a bridge.
- Major inflection via partnership
- A partner recognized the opportunity and helped scale
- First joint edition reached ~85k registrants (speaker/partner-driven scaling + platform technology + faster production)
“Low-ticket funnel” playbook (how they generate revenue)
Why low-ticket worked for them
- They sell to ultra-niche professional audiences where:
- content is scarce (university time constraints)
- the offer directly maps to practice improvements
- They avoid low-ticket for layperson mass problems:
- too competitive; higher CPM/CPA; traffic becomes unprofitable
- Strategy goal: profit sustainability, not one-off spikes—built as a perpetual/continuous sales system.
Offer structure / product “recipe”
- Entry-level product format
- ~40 minutes to 1 hour video lesson
- ~4 bonuses on the entry-level product
- They also sell adjacent short products (30–40 min) connected by a theme
- Congresses → product pipeline
- Each congress has ~10 lectures
- Each lecture can become a separate funnel/product
- Bonuses are integrated into a “feedback loop” of the lecture content
Upsells, order bumps, and bundles
- They emphasize order bumps more than classical upsells early:
- “Three bonuses” minimum (entry product bonuses)
- Typically minimum 2–3 order bumps to raise average order value and improve traffic economics
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Tested order bumps with guardrails such as:
- bump values not above the original low-ticket price (example: selling at 47 with a 37 bump; higher bumps for higher-intent moments)
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Multiple ticket tiers are used (e.g., 47 / 57+, with higher tiers tied to congress/payment moments).
- Their view: upsell can be deferred—the model can often work “without upsell” early.
Delivery constraints that reduce refunds
- Content is designed so buyers receive what they expect:
- video-first + supplementary PDFs
- member area cards/mindmaps
- AI transcription to support long-term consumption
- Refund rate: ~1%
- They attribute most refunds to “content not matching expectations” and mitigate via improved delivery and expectation-setting.
Metrics & KPIs mentioned (targets/results)
- Revenue: over R$10 million generated in the digital market using low-ticket funnels (medical niche focus)
- Early sales proof: R$12,000 in one day on a first launch; early event scaling from small manual efforts to large volume
- Sales channel performance (platform referenced)
- At Kiwicast: “over 30,000 sales”
- Refund rate: ~1%
- Email database size: ~300,000 contacts; they email daily offers
- WhatsApp constraints:
- limited throughput: ~200–300 messages/day
- deliverability managed via multiple phones/SIM cards (with the challenge of numbers being dropped)
- Management scale (startup stage)
- ~4 → ~40 people in ~3–4 months after an investment round in 2020
- Later downsized: laid off half during 2021–2023 recovery
- Today: ~15 people with higher quality due to process clarity
Management + operating system (scaling, then stabilizing)
What went wrong during the pandemic scaling
- In early 2020, demand surged and they attracted large clients (ticketing/event platform demand).
- They scaled quickly (4 → 40), but processes weren’t clear, creating low productivity initially.
- They raised ~R$1M+ and accelerated hiring.
- Cash burn followed: 2020–2023 became a period of rebuilding and reinvention; they burned investor cash and required layoffs.
What they changed (process/ops lessons)
- Shift from “hero operations” to process clarity:
- delegation know-how
- better orchestration of execution
- Automation/systems improvements
- payment processing time reduced from 1–3 days to ~15 minutes (via their “My Landing Pay” reference)
- Diversification of revenue streams
- sell: platform + digital products
- plus an agency providing traffic services
- continued focus on healthcare professionals across products and acquisition channels
Marketing/sales execution tactics (concrete)
- Paid traffic vs. organic/community: early stage relied on networking; later they optimized funnel economics.
- Sales pages in text (not VSL-heavy)
- They don’t use VSLs; they use plain text sales pages and images/art.
- Rationale: the professional audience prefers reading (better communication alignment).
- Expectation-setting to reduce churn/refunds
- standardized product format and content (modules/classes) reduces mismatch risk.
- Database monetization
- After purchase, they repeatedly offer adjacent products:
- e.g., buy “alopecia,” later receive offers for “menopause,” “endometriosis,” etc.
- They also pitch congress tickets during the paid event.
- After purchase, they repeatedly offer adjacent products:
Frameworks / playbooks explicitly or implicitly used
- Ultra-niche positioning (segmentation + specialization)
- narrow healthcare/professional pain points vs broad consumer problems
- Product ladder via congress content
- “one lecture → one funnel/product” to build a catalog of small offers
- Offer optimization based on refund signals
- refund rate (~1%) treated as feedback; most refunds tied to expectation mismatch
- Omnichannel conversion
- primary: email
- secondary: WhatsApp (with operational constraints + deliverability management)
- Operational scaling model
- move from founder-led execution to process/system-driven delegation before expanding headcount
Actionable recommendations distilled from the episode
- Sell specific professional outcomes (technique/condition-specific) instead of broad “get rich” or generic healthcare promises.
- Build low-ticket offers as video + bonuses + supplemental materials to reduce refund risk.
- Use a repeatable content-to-funnel pipeline: congress lectures become modular products with consistent structure.
- Prioritize order bumps + multiple ticket types to improve average order value and traffic economics.
- Avoid mass layperson health funnel copycatting; competition and rising traffic costs can erase profits.
- Treat ops as a growth prerequisite:
- before scaling headcount, lock in clear processes and delegation
- implement systems that cut operational lead time (e.g., payment processing improvement)
Presenters / sources mentioned
- Guilherme Torrejon (guest): credited with R$10M+ revenue via low-ticket funnels in medical niche
- Maraia (co-founder): operations focus
- Luiz Gustavo (partner): sales/marketing and sales funnel growth role
- Derck / Derick (developer partner)
- References/sources for clients/platform work: UNESCO, UNESCO Global, UNISAMP / Unicamp, USP, Fiocruz, United States Embassy in Brazil, and participation by a Supreme Court justice (mentioned as client/event attendees)
- Video hosts/podcast table participants: not identified by name in subtitles (only narration such as “We founded… I received…”, “Now… going back…”)