Understanding rankings on Crazypatterns: How sorting works

Overview

• Basic principles
• The formula
• What this means for authors
• Frequently asked questions (FAQ)

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How our “Trending patterns” ranking works

Here we explain how patterns are typically sorted on Crazypatterns. We show principles and a formula—without concrete data, factors, or internal thresholds.

Note on wording: For readability, we use terms such as “patterns”, “products”, or “content” interchangeably in this article. We always mean all the wonderful creative works offered on the platform.

The basic principles

• Revenue (topseller) vs. downloads (trend)
  With topseller, only paid orders (price > 0) are taken into account. With trend, we count the number of downloads of a free pattern.
• Recency beats history
  This principle applies to both metrics: sales (topseller) or downloads (trend) from a very recent time window have the strongest effect. This has an important reason: it allows the ranking to adapt dynamically to seasonal interests and holidays. Before Christmas, for example, winter patterns become more visible; before Easter, more spring-like decorations. All time windows contribute proportionally to the ranking: very recent activity is weighted most strongly, medium-term activity less, and the all-time base only minimally. This way, all sales or downloads are included—just with different weights depending on how recent they are.
• For topseller, revenue is what counts
  The paid amount (revenue) counts—not just the number of purchases. Discounts and promotions also affect the score proportionally to their actual revenue contribution.
• Scaling & rounding
  This principle applies to both metrics. The internal value is scaled and rounded. The absolute number doesn’t matter; what matters is the order.

Formula

For reference—the formula for topseller:

$\begin{array}{l}\mathrm{topseller}\left(i\right)=\mathrm{round}(\mathrm{scale}·(S_{R1}\left(i\right)+\alpha ·S_{R2}\left(i\right)+\beta ·S_{R3}\left(i\right)+\gamma ·S_{\text{all}}\left(i\right)\left)\right)\end{array}$

Legend:

• S_Rk(i) – Revenue total of item i in time window R_k (paid purchases only, price > 0).
• R₁, R₂, R₃ – Time windows from “very recent” to “short-term” to “medium-term”; exact limits are internal.
• S_all(i) – All-time revenue of item i (paid purchases only, price > 0).
• Weighted sum – All time windows contribute: very recent revenue counts in full (weight 1), medium-term with reduced weights (α, β), and all-time revenue only minimally (γ).
• α, β, γ – internal reduction factors with α < 1, β < α, γ ≪ β.
• scale – internal scaling factor; round(·) – technical rounding of the score.
• Only real, paid revenue (paid = true, price > 0) is taken into account; downloads are not considered.
• What matters is the position within the “Trending patterns” sort order.

Here is the same topseller formula as above in a text version
Formula:
topseller(i) = round( scale · (
S_R1(i) +
α · S_R2(i) +
β · S_R3(i) +
γ · S_all(i)
))
Symbols:
S_Rk(i)  = revenue total in time window Rk (paid purchases only, price > 0)
S_all(i) = all-time revenue (paid purchases only, price > 0)
R1,R2,R3 = time windows from very recent → short-term → medium-term (limits are internal)
α,β,γ    = internal reduction factors with α < 1, β < α, γ << β
Weighted sum = all time windows contribute proportionally (recent ones most strongly)
scale    = internal scaling factor; round(·) = rounding

How to read this: All time windows flow into the calculation, but with different weights. Very recent revenue has the strongest effect (weight 1). Newer and medium-term revenue contributes with reduced weights (α, β). Long-term revenue is only considered minimally (γ). This keeps classics present in the ranking while clearly prioritizing current trends.

What does this mean for authors?

• Current demand matters: patterns that get a fresh boost or start doing well again move up noticeably.
• Evergreen sellers keep benefiting—but more as a base when things are quieter right now.
• Free patterns have no influence on topseller (they don’t generate revenue).
• Realistic prices and sustainable quality have the biggest impact.

Frequently asked questions (FAQ)

My classic is selling well—why is it still dropping?
Because current demand is weighted most strongly. Your classic still contributes to the ranking (all-time revenue is included with the factor γ), but with very little weight. More recent sales have a much stronger effect and influence the ranking dynamically to ensure seasonal relevance (see the principle “Recency beats history”).

How often is the ranking updated?
At regular intervals. The exact rhythm is internal and may vary.

Can I see my topseller or trend value anywhere?
The absolute value is internal. What you can see is the result: the position within the “Trending patterns” sort order.

Where are the metrics used?

• In list views where the “Trending patterns” sort order is selected. Depending on the product (paid/free), the corresponding metric is used.
• In some thematic overviews as well, as long as “Newest”, “Price”, or other sort orders aren’t explicitly selected.

Note: Curated sections, editorial spots, or ad placements can be positioned independently of these metrics.

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Besides this sort order, the overall visibility of your products is also influenced by the Conversion Rate (CR) score, which measures the quality of your product presentation.

Mini glossary:

• 1) topseller – Internal metric for ranking paid content, based on current revenue.
• 2) trend – Internal metric for ranking free content, based on current downloads.
• You can find more explanations in our glossary of technical terms.