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- Course Marketing Engine — Find & Convert More Learners
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Course Marketing Engine — Find & Convert More Learners
Plan ethical course acquisition, nurture, enrollment and lifecycle experiments from real evidence.
$9.99
Course Marketing Engine — Find & Convert More Learners
Example session with this skill installed
Illustrative scenario: Market a $49 spreadsheet-budget course for freelancers. Verified course contents: four lessons, practice worksheet and one live clinic. No testimonials or learner outcome evidence. Last pilot had 100 landing-page visitors, 20 email opt-ins and five paid enrollments from those opt-ins; attribution outside this path is unknown. Create positioning, two content ideas, a three-email nurture outline, metrics and one experiment. Draft only, no campaign actions.
- Read your context and instructions
- Compiled the course marketing engine
Positioning and promise
Audience: freelancers who want to learn a simple spreadsheet-based monthly budgeting process. Offer: four lessons, practice worksheet and one live clinic for $49. Promise: learn and practice the supplied process; no earnings, financial-success or accreditation claim. Demand beyond the supplied pilot is not established.
Pilot metrics
Opt-in rate: 20 / 100 = 20% of landing visitors. Observed opt-in-to-paid enrollment: 5 / 20 = 25%. Observed enrollment-to-visitor ratio: 5 / 100 = 5% within this supplied path. Gross pilot sales: 5 × $49 = $245 before fees, refunds, delivery costs or tax. Confirm unique visitors, cohort maturity and tracking definitions; these figures do not establish causality or a future forecast.
Content plan
- Practical tutorial: “Three checks for a monthly budget spreadsheet.” Show labeled assumptions, verified totals and a duplicate-expense check using fictional numbers. CTA: preview the course worksheet.
- Course walkthrough: show the four lesson topics, practice worksheet and live-clinic format. Explain who the course suits and the skills it does not certify. CTA: read the curriculum and $49 offer.
Three-email nurture outline
Email 1 — Subject: A first check for your monthly plan. Offer one useful spreadsheet check with fictional data and link to the curriculum.
Email 2 — Subject: How the practice worksheet works. Explain the exercise and live-clinic support, address software compatibility after confirmation, and invite questions.
Email 3 — Subject: Is this course the right fit? State the contents, price and intended learning goal; acknowledge that people wanting individualized tax/financial advice need a different service. Link to enrollment with accurate terms. No invented deadline, scarcity or testimonials.
Proposed experiment
Test a worksheet-preview landing section against a curriculum-only section, keeping offer and acquisition context stable. Hypothesis: seeing the practical task improves qualified evaluation. Primary measure: paid enrollments per eligible visitor; supporting measures: opt-in and activation. Guardrails: refunds, support load, learner expectation mismatch and contribution after costs. Define sample requirements and observation window from actual data; do not call this pilot a proven winner.
Lifecycle and next steps
After approved enrollment, provide clear access guidance and a first-practice prompt. Collect actual completion, assessment and support feedback before seeking consented testimonials or referrals. Verify current landing terms, email permission, delivery capacity and tracking. No content was published, emails sent, ads launched or budget changed.
Connects securely to your tools. The creator never sees your data.
About this skill
Course Marketing Engine helps course creators and education businesses build measurable learner-acquisition systems. It connects audience and demand research to positioning, messaging, channel strategy, content, lead capture, nurture, sales pages, checkout and enrollment, then considers activation, retention, learner evidence and referrals.
The workflow diagnoses qualification and expectation mismatch, aligns sales promises with the actual learning product, defines metrics and denominators, and designs experiments that protect long-term learner value. Deliverables can include campaign and content plans, truthful offer copy, nurture sequences, lifecycle actions and analytics questions.
It never invents traffic, leads, sales, testimonials, outcomes, attribution or ad results. Observed metrics remain separate from projections, and external research or campaign execution depends on available authorized tools. It does not guarantee conversion or revenue, manufacture scarcity or claim a campaign ran without confirmed action.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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