Data methodology

How Crescitaly builds public pricing and market snapshots

Our methodology is designed to make public market pages more understandable, not to manufacture false precision. We collect structured inputs, normalize them into comparable units, and publish snapshots that help readers interpret pricing conditions faster.

Tracked across major platformsNormalized public snapshotHuman QA on category mapping

Data collection inputs

We combine market-facing data, internal signals, and manual review. No single source is sufficient on its own, so the methodology is built around cross-checking rather than pretending one feed is authoritative in every case.

Competitor and provider monitoring

We observe available service menus, price points, and category coverage across market providers that are relevant to public comparison pages.

Internal transaction patterns

Aggregated internal activity helps us understand which categories are active, volatile, or worth surfacing to readers.

Structured public inputs

Where useful, we pull from platform documentation, public APIs, and market-facing product pages that can be cited or checked directly.

Manual QA checks

Snapshots are reviewed periodically to catch broken mappings, stale categories, or prices that clearly fall outside expected ranges.

How the price index is calculated

1

Normalize units

Service prices are translated into comparable units so category-level comparisons do not mix incompatible package sizes.

2

Remove obvious outliers

Extremely high or low values that would distort a public snapshot are excluded when they fail basic reasonableness checks.

3

Aggregate by platform and category

We compute summary ranges and averages for tracked categories such as followers, likes, views, and subscribers.

4

Refresh and cache

Public-facing market summaries are refreshed on a schedule and cached so pages stay fast while still reflecting recent market movement.

Coverage by platform

Instagram

Followers, likes, views, comments, story-related signals

TikTok

Followers, likes, views, shares, comments

YouTube

Subscribers, views, likes, watch-time adjacent services

Facebook

Page growth, likes, views, post engagement

Twitter / X

Followers, likes, reposts, visibility metrics

Telegram

Members, post views, reactions, channel activity signals

What the data can and cannot tell you

  • This is a market snapshot, not a universal census of every provider or reseller.
  • Price alone does not measure service quality, retention quality, or downstream business value.
  • A category may temporarily appear incomplete when providers change naming, stock, or availability.
  • Historical context is constrained by the time window of the datasets we currently retain.

Contact

If you need clarification on category definitions, data freshness, or the assumptions behind a public index page, contact data@crescitaly.com.