MyTelescope Data Methodology
We Call It the MyTelescope Intelligence Engine
MyTelescope Intelligence Engine
From search and ask to clustered meaning, indexed demand, and clear answers.
🔎 Collect
We capture live intent from engines and discovery surfaces. Only search and ask signals. No personal data.
🧰 Synthesize
Smart Select AI clusters and differentiates intent: Apple the company vs apple the fruit, Shark the brand vs shark the animal.
🧠 Model
MAPS framework converts clusters into demand indexes and insights: Magnitude, Acceleration, Pattern, Spread.
Indexes by MAPS dimensions
Delivered in platform and via API
The MyTelescope Intelligence Engine analyzes what people search for and ask for across digital platforms.
It transforms real intent into structured, predictive, and actionable insights that reveal what’s in demand, why it’s moving, and where it’s heading next.
Why It Matters
Every signal we model connects directly to a decision. The Intelligence Engine is designed around how people in business act on demand:
CFOs use it to reallocate spend before quarterly close.
Marketers use it to time creative and channel investment.
Analysts use it to explain share moves or forecast demand inflections.
M&A and Growth teams use it to spot rising categories early.
Each step in the methodology (collection, synthesis, modeling, and delivery) supports these decision moments.
Data Collection
We capture search and ask data that reflects true market intent.
These come from search engines like Google and YouTube, as well as discovery and conversational platforms such as TikTok, Instagram, and X, where people increasingly use natural language to ask questions or explore ideas (read more on the data).
Our datasets are privacy-safe and statistically representative, ensuring variety across countries, categories, and languages without cookies or personal identifiers.
Data Quality and Lineage
We continuously measure signal integrity across platforms, filtering automated or manipulated inputs before clustering. Each dataset includes a full lineage trail from raw source to indexed output, so every demand score can be traced back to its verified signal base.
Typical noise reduction exceeds 85–90 percent before modeling, ensuring results reflect genuine market intent rather than media chatter.
Data Synthesis
Collected signals flow through our Smart Select AI, our proprietary contextual engine.
It cleans, filters, and clusters related keywords and questions, distinguishing meaning with precision:
Shark the brand vs. shark the animal
Apple the company vs. apple the fruit
This step ensures that every dataset represents genuine demand, not digital noise.
Data Modeling
Data Modeling: AI with Built-In Reality Checks
The MyTelescope Intelligence Engine blends machine learning and statistical modeling to ensure precision.
Once signals are clustered, our system runs dual validation:
Machine Learning Analysis – pattern recognition through the MAPS framework (Magnitude, Acceleration, Pattern, Spread) to detect real-world trend shifts.
Mathematical Calculations – independent, deterministic computations for trend movements, weighting, and growth curves.
These two layers cross-verify each other, making sure the model’s interpretation is consistent with measurable reality.
Model Governance and Transparency
Every model version is documented and auditable, with reproducible inputs and formulas stored alongside outputs. Versioning ensures that when models evolve, historic readings remain interpretable.
A governance loop reviews model drift monthly and retrains when accuracy falls below benchmark thresholds. This keeps indexes stable and responsive to new behavior.
Every output is further cross-checked by independent agents before being indexed — ensuring the AI doesn’t hallucinate and that each data story holds up under quantitative scrutiny.Demand Intelligence Delivery
The Intelligence Engine turns these analytical models into ready-to-use demand insights, available through:
MyTelescope Platform: Live dashboards visualizing category, brand, and theme demand.
Real-Demand Pack: Monthly data exports (CSV or Excel) ready for forecasting systems.
API Access: Direct integration for partners embedding demand data in analytics workflows.
These outputs deliver both measurement and interpretation, giving teams foresight into real demand movements before they appear in sales data.
Validation and Benchmarking
The Intelligence Engine’s accuracy is continuously measured against business outcomes. Across more than forty validated categories, average correlation between real interest and market share is about 83 percent, with top sectors such as Automotive (0.92), Soft Drinks UK (0.75), and Wine & Spirits (0.73).
Each model run compares predicted versus actual movement and flags deviations for manual review by independent analysts.
Our Commitment to Privacy
MyTelescope is built on privacy-safe principles.
No Personally Identifiable Information (PII) is ever collected or used.
All signals are aggregated and anonymized.
Fully compliant with GDPR, CCPA, and equivalent global standards.
Focused on what people are searching and asking, not who they are.
Continuous Improvement
The Intelligence Engine is a living system. Data sources refresh monthly, taxonomy updates quarterly, and new question types integrate through user feedback.
Independent audits review methodology annually to maintain statistical integrity and adapt to emerging platforms or behaviors.
In Summary
From intent to foresight. From curiosity to confidence.
The MyTelescope Intelligence Engine analyzes what people search and ask for across the digital world, turning those signals into demand intelligence that helps you see what is in demand, understand why it is changing, and act before the market moves.