Predict and prepare for rising Nigerian university tuition fees
Nigerian families are hit with exorbitant and frequently updated tuition fees at private universities that can exceed several million naira per year.
FeeGuard uses historical data from private universities combined with economic indicators to forecast tuition increases with high accuracy. Parents build personalized savings plans with milestone tracking and receive instant mobile alerts when fees are updated by their child's university.
Middle-income Nigerian parents with children entering or attending private universities
Proprietary prediction engine combining university-specific trends with Nigeria's macroeconomic data for 85%+ forecast accuracy
supportive
Curated database of 60+ private universities with 5 years of historical fees
Generates 1-5 year personalized tuition predictions
Creates monthly savings targets with progress tracking
Push notifications for fee changes and savings milestones
Visual overview of forecasts, savings, and multiple children
Side-by-side fee trajectory comparisons
Model different inflation rates and their fee impact
Export professional reports for banks or family
See what other parents actually paid last semester
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | Yes | |
| phone | text | Yes |
| full_name | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| location_state | text | Yes |
| website | text | Yes |
| last_fee_update | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| university_id | uuid | No |
| entry_year | int | No |
| current_level | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| university_id | uuid | No |
| academic_year | text | No |
| amount_naira | int | No |
| is_predicted | bool | No |
| created_by_user_id | uuid | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| child_id | uuid | No |
| target_amount | int | No |
| monthly_contribution | int | No |
| current_saved | int | No |
| deadline_year | int | No |
Relationships:
/api/forecastGenerate or refresh fee prediction for a child
/api/universitiesSearch and retrieve universities with fee history
/api/savings-plansGet all user's savings plans
/api/savings-plansCreate new savings plan
/api/alertsFetch user notifications and fee alerts
/api/webhooks/paystackProcess subscription and payment events
Limited to 2 forecasts per month
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 280 | 6% | $588 | $7,056 |
| Month 6 | 1,850 | 13% | $8,421 | $101,052 |
Accurate forecasts and smart savings plans built exclusively for Nigerian parents sending children to private universities.
Target Nigerian parent Facebook groups (e.g. Nigerian Parents in Diaspora, Lagos Mums) with free 6-month Pro access for feedback. Run lead magnet ads offering '2025 Top 20 Universities Fee Prediction Report' to collect emails. Attend 3 virtual PTA meetings in Lagos, Abuja and Port Harcourt to demo live forecasts.
Excellent automated savings with interest
No university-specific data or forecasts
Deep domain knowledge of Nigerian private university fee patterns
Payment reminders
Reactive instead of predictive
Forward-looking forecasts and planning tools
Data moat from continuously growing proprietary fee database that improves forecast accuracy over time
Naira volatility and inflation above 30% caused many private universities to revise fees 2-3 times per session in 2024 — a frequency never seen before.
Inaccurate or stale university fee data
Combine official sources with verified parent reports and display confidence scores
Parents unwilling to pay monthly for predictions
Strong free tier with clear upgrade triggers at key decision moments
Solo dev burnout during 8-week build
Strict MVP scope with forecasting using statistical models first, not complex ML
Success: 65% say they would pay at least $25/month for accurate forecasts
Success: 400 signups and 18% click-through on forecast CTA
Success: NPS above 35 and 22% convert to paid within 30 days
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