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Version: 2025-05-27

Understanding rate card feasibility results

When using rate card pricing, your target group is offered to suppliers at the price determined by your rate card. The price (CPI) selected depends on the incidence rate (IR) and length of interview (LOI) of a target group. If a supplier is willing to supply at that price, they will send respondents to your target group.

In order to determine optimal price for a given combination of metrics and profiles, you can make an API call to the target group feasibility endpoint to receive price suggestions.

Key points:

  • The returned feasibility will depend on what was specified in your target group
  • Besides incidence rate, factors like time in field or seasonality will be taken into account
  • Cint will return the recommended CPI based on your IR and LOI from your rate card

Example response:

{
  "suggested_price": {
    "value": "4.140000000",
    "currency_code": "USD",
    "currency_scale": 2
  },
  "suggested_filling_goal_range": {
    "min": 500,
    "max": 500
  }
}

Beyond basic metrics: factors influencing feasibility​

While your explicitly defined incidence_rate, length_of_interview, locale, and profiles are primary drivers, Cint's feasibility calculations also account for dynamic market factors such as:

  • Time in field: The duration you specify for your survey's fieldwork.
  • Seasonality: Fluctuations in respondent availability throughout the year.
  • Current market demand: The competitive landscape for respondents matching your criteria at any given time.

Optimizing with fielding assistant​

To further optimize your CPI and fielding process, Cint offers automated pricing and fielding tools. These advanced options can dynamically adjust your CPI or fielding strategy based on real-time market conditions to ensure efficient project completion.

See our guide on fielding assistant here for more information on how to leverage these tools.