Foundational marketing skills
Applied learning that turns commercial concepts into concrete experiences.
- Foundational missions
- Introduction to digital advertising
- Safe participation
Digital marketing education for schools and universities
Learn digital marketing by making decisions, not memorizing answers.
Predict Insight is a learning platform built for schools, colleges, universities, and business schools. It turns digital campaigns into simulation experiences where students frame problems, make decisions, and learn from their results.
Built for educational institutionsMeta Ads and Google Ads scenariosEvidence-based assessment, not just answers
Marketing Simulation
& Learning Lab
For institutions
A platform that adapts to every education level.
Predict Insight is licensed and implemented institutionally. Schools, colleges, and universities integrate it into courses, programs, and practice centers.
Professional practice through scenarios
A bridge between classroom theory and the scenarios students will encounter at work.
- Technical scenarios
- Campaign metrics
- Group tracking
Simulation, analysis, and strategic reasoning
Advanced experimentation, causal debriefing, and autonomy for higher education.
- Autonomy lab
- Evidence-based assessment
- Curriculum integration
These are not three different products: one educational platform can be configured by level, instructor, and institution.
The laboratory cycle
Learn. Predict. Simulate. Decide.
Learn → Predict → Simulate → Decide → Reflect → Improve. A continuous cycle of deliberate practice.
Learn
Understand the problem and campaign context.
Predict
State what you believe will happen and why.
Simulate
Test your decisions in a safe environment.
Decide
Analyze results, compare, and improve the next iteration.
The four pillars
It is more than a simulator. It is an educational laboratory.
The entire experience is organized around four pedagogical principles that distinguish it from a generic technical tool.
Advertising simulation
Experiment with digital campaign decisions—audiences, budgets, formats, and metrics—within reproducible scenarios.
Meta Ads · Google AdsEducational conversation
Frame, understand, and solve problems through natural language. Go beyond forms: ask, reason, and explore.
Conversational simulatorEvidence-based assessment
Reasoning and decision-making are assessed, not only final answers. Every decision leaves evidence.
Causal debriefingProgression toward autonomy
From guided practice to independent creation: students build their own problems and simulations.
From solving to buildingLearning by doing
Students do not merely receive information. They construct answers.
At Predict Insight, learning marketing means learning how to think through real problems. Every mission requires students to observe context, formulate hypotheses, make decisions under constraints, and explain results with evidence. Technology structures the practice; students build judgment.
At the center of the experienceOne mission
The student investigates, decides, experiments, and explains.
Investigate
Identify the problem, review the context, and determine what information is needed.
Formulate
Turn observations into questions, hypotheses, and testable assumptions.
Decide
Select audience, budget, format, and objective with a clear intention.
Simulate
Test decisions in safe, consistent, and reproducible scenarios.
Interpret
Compare predictions with results and look for causal relationships.
Reason
Explain what happened, defend the reasoning, and propose a new iteration.
Missions · Mission-based learning
From guided practice to independent creation.
Missions are not video games. They are structured educational scenarios with context, objectives, audiences, budgets, metrics, constraints, and decisions.
Explore a campaign
Guided context and objectives for understanding campaign fundamentals.
Guided exercisesMake decisions
Budget, audience, format, and metrics under mission-specific constraints.
Partial decisionsOptimize and justify
Complex scenarios where every decision must be reasoned and defended with evidence.
Strategic reasoningCreate your own mission
Frame the problem, define assumptions, and turn your scenario into a reproducible simulation.
From solving to buildingE
What is the campaign's main problem?
CV
Conversions declined over the past two weeks…
E
What budget is available this quarter?
Interactive virtual client
Investigate the problem before deciding, just as in real life.
Students can ask, explore, and modify assumptions: problem, audience, budget, duration, objectives, and available data.
- A deterministic foundation produces consistent, traceable results.
- The interaction is investigative, not a simple answer chatbot.
- Designed to practice advertising scenarios without risking real budgets.
- Conversation history is preserved and can be continued later.
Reproducible simulation
Every decision generates a result that can be reviewed, compared, and explained.
Students work with objectives, campaigns, formats, audiences, placements, and metrics from Meta Ads and Google Ads within the simulation environment.
- DecisionThe student chooses where to invest.
- SimulationThe system calculates the reproduced scenario.
- ResultComparable metrics: reach, CTR, CPC, conversions, and ROAS.
- ReflectionThe student analyzes causes and alternatives.
AudiencesBudgetCTRCPCConversionsReachROAS
Estimated reach18.4M
CTR2.1%
Conversions312
ROAS2.4x
Causal debriefing
Simulation is not enough. Students must understand why.
After each simulation, students compare what they expected with what occurred and explain the difference. That is where learning begins.
I predicted
2.8% CTR
HypothesisActual result
2.1% CTR
ResultWhy?
Likely cause
Causal reflectionLearning begins when the student explains the difference between what was predicted and what occurred.
For educators
See the reasoning, not only the result.
Predict Insight does not replace educators; it amplifies them. Educators define the experience while the platform records practice and reveals how each student reasons.
- Conceptual progress
Actual growth in understanding. - Attempts and support
How each challenge was approached. - Debriefings
Causal reasoning and justification. - Recurring difficulties
Patterns that require support. - Problem framing
Quality of the initial framing. - Versions and timing
Traceability of every iteration.
Represented ecosystems
Learn about Meta Ads and Google Ads without spending real budget.
The platform models advertising ecosystems as educational scenarios so students can experiment freely and safely.
Meta Ads
Objectives, campaigns, formats, audiences, placements, and metrics represented within the simulation environment.
ObjectivesCampaignsAudiencesFormatsMetrics
Google Ads
Search, display, audience, and metric scenarios modeled for reproducible learning.
SearchDisplayKeywordsBudgetsConstraints
These ecosystems are represented within the educational simulation. There is no direct commercial integration or connection to the real advertising platforms.
Evidence
Every decision leaves evidence.
Reproducible, traceable learning: what is simulated can be demonstrated, reviewed, and audited.
Evidence recordLearning record
VerifiableReproducible simulations
Parameters, rules, version, assumptions, and seed are preserved. A scenario can later be reviewed, compared, and explained.
Versioned catalog
Ecosystem information preserves its source, validity, and version. Future updates do not alter past simulations.
Progress and traceability
A verifiable history of missions, conversations, debriefings, versions, and academic results.
Progress recognition
Motivate with purpose. Assess with evidence.
Gamification motivates; evidence assesses. Participation is not the same as academic mastery, and the platform distinguishes between them.
Campaign Explorer
First simulations completed. Understands campaign fundamentals.
Foundation levelCampaign Strategist
Makes consistent decisions and justifies results with evidence.
Intermediate levelCampaign Consultant
Requires consistent evidence, knowledge transfer, and problem-solving in new contexts.
Advanced levelRequest an institutional demo
Bring marketing simulation to your institution.
Discover how Predict Insight can fit into your courses, programs, or practice centers. An advisor will show you the platform through authentic classroom scenarios.
No costNo obligationAdapted to your education level
Frequently asked questions
Clear answers before you begin.
What is Predict Insight?
Predict Insight is an educational digital marketing simulation laboratory developed by Cocrea Labs. Students frame problems, make decisions, simulate advertising campaigns, and learn from their results before facing the real market.
What is a digital marketing simulator?
A digital marketing simulator is an educational environment where students experiment with advertising campaign decisions—such as audiences, budgets, formats, and metrics—in reproducible scenarios without spending real money.
How does an educational campaign simulator work?
Students frame a problem, predict what they believe will happen, simulate their decisions, and compare expected and actual outcomes. They then analyze performance causes in a debriefing. Every decision is recorded and can be reviewed.
Can Predict Insight be used at universities?
Yes. Predict Insight is designed for universities, business schools, technical colleges, secondary schools, and other educational institutions. It is licensed and implemented within courses and academic programs.
Does Predict Insight simulate Meta Ads and Google Ads?
Yes. The simulation represents Meta Ads and Google Ads scenarios, including objectives, campaigns, formats, audiences, placements, metrics, and constraints, without direct commercial integration with those platforms.
How are students assessed?
Predict Insight assesses reasoning and decision-making, not only final answers. It considers problem framing, prediction quality, use of evidence, causal explanations, and the ability to revise decisions.
What can an educator review?
Educators can review activity, conceptual progress, attempts, formulations, debriefings, simulation versions, timing, and recurring difficulties, as well as define support levels and available cases for each group.
Does Predict Insight use artificial intelligence?
Predict Insight uses a hybrid architecture. Rules, states, and deterministic systems ensure consistency and control, while generative AI is incorporated when it adds educational value, such as in conversational interaction.
Request an institutional demo
Bring marketing simulation to your classroom.
Discover how Predict Insight can integrate into your institution through licensing, academic implementation, learning analytics, and educator controls.