Question 1

What data drives the valuation?

Accepted Answer

KOL Pricer uses follower count, recent tweet engagement, impressions, posting frequency, profile context, and public X activity to estimate reach and campaign value.

Question 2

How are categories detected?

Accepted Answer

The tool reads public profile and recent content signals to classify the KOL into a relevant category such as AI, crypto, finance, business, tech, entertainment, or other.

Question 3

Why does the category impact the price?

Accepted Answer

Different categories have different advertiser demand and CPM expectations. High-value niches can command higher rates, while broad categories are usually priced more competitively.

Question 4

What is Engagement Rate (ER)?

Accepted Answer

Engagement Rate compares average interactions with follower count. A stronger ER usually means the audience is more active and the post inventory may be more valuable.

Question 5

What does the Coefficient of Variation (CV) indicate?

Accepted Answer

CV measures consistency. Lower variation in posting rhythm or impressions usually means more predictable campaign performance.

Question 6

How accurate is the pricing?

Accepted Answer

The result is a data-driven estimate, not a guaranteed transaction price. Final rates can change based on creative requirements, exclusivity, timing, negotiation, and campaign scope.

Question 7

Is there a usage/rate limit?

Accepted Answer

Yes. Limits protect shared API usage and service reliability. If you hit a limit, wait briefly before running another analysis.

Question 8

How is my data handled?

Accepted Answer

KOL Pricer analyzes public profile and post data for the requested account. Analysis results are used to return the estimate and are not exposed to other users.

KOL Pricer FAQ