How to set up your Market intelligence

MyTelescope turns search into forecast-ready demand—83% correlation to market share, sales and revenue. Privacy-safe. Warehouse-ready. Start in minutes.

How to set up your Market Intelligence

1 Set up your category

  • Set geo + language (keep consistent).

  • Create category keywords (synonyms + misspellings); add excludes.

  • Quick scan top queries; remove noise.

2 Competitors vs You

  • List your brand and each competitor with official names, nicknames, and abbreviations (e.g., “Coca-Cola,” “Coke”)

  • Use the same geography, language, and date range for every brand.

  • Track Share of Search (your share of all brand searches), month-over-month change, and seasonality.

3 Set up your Main products and offerings
vs your competition

  • List your key products and the closest competitor equivalents.

  • Build product keyword sets: model names, shorthand, attributes. Exclude jobs and support.

  • Link products to parent brands for clean roll-ups.

  • Track Product Share of Search, 3-month momentum, and top theme drivers.

4 Final checks

  • Clear names and notes on includes/excludes.

  • Coverage near 90% of known queries, minimal noise.

  • Consistent settings across all charts. Privacy-safe, behavior-based data.Set up your Category

Business impact & data deliverables

78%
Sheraton correlation to revenue

85%
CPG correlation to market share

73%
Wine and Spirits correlation to revenue

90%
Automotive correlation to Market share

Why teams use it

  • See shifts earlier—lead time is category-dependent (validated in your backtest).

  • Make calls with proof from real searches and questions—because nobody lies to their search bar (or their chatbot).

  • Plug in fast with ready APIs and flat files—no rebuild of your models.

What you get (monthly feed)

  • Real-interest index by market • brand • model/attribute

  • Month-over-month change and simple curve tag (seasonal / spike / step-up / decay)

  • Coverage across your key markets and segments

  • Lineage & versioning for audit and governance

ROI (examples):

  • Reduce stockouts: EV trims reallocated to “fast-charging” hotspots → stockouts −2–4 pp, sell-through ↑.

  • Prove marketing → revenue: Geo-split test shows demand index +15–20% → revenue +3–7%, ROAS +10–20%.

  • Lower safety stock & markdowns: Appliances shift based on rising search → safety stock −5–10% (same service level), markdowns −4–8%.

Illustrative only; impact and lead time are category-dependent. Privacy-safe

What you get (monthly feed)

  • Real-interest index by market • brand • model/attribute

  • Month-over-month change and simple curve tag (seasonal / spike / step-up / decay)

  • Coverage across your key markets and segments

  • Lineage & versioning for audit and governance

Start yourself (no forms, no wait)

  • Sign up → instant 30-day free trial

  • Pick your category & markets (e.g., Auto • US/UK/SE/DE/IN)

  • Pull the feed into your warehouse or notebook

Forecasting / FP&A: Cut error and detect demand shifts earlier (lead time is category-dependent).

  • Supply Chain / S&OP: Re-plan mix, allocation, and replenishment using early demand signals to reduce stockouts and overstock; move inventory to hot markets/models sooner.

  • Category / Merchandising: Set the right model/attribute mix by market; adjust purchase orders and transfers ahead of the curve.

  • Marketing: Time media and creative to rising demand; lead with proofs.

Examples and use cases

for Use case i.e Demand forecasting