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Version: 2025-05-27

Understanding dynamic pricing feasibility results

Dynamic pricing gives you direct control over the price you set for your target groups. Unlike fixed pricing models, dynamic pricing allows you to specify a CPI. Suppliers on the Cint Exchange then evaluate your offer. If a supplier assesses that your proposed CPI represents a fair and competitive opportunity, they will advertise your survey to their eligible respondents. This model empowers you to optimize your research budget based on real-time market conditions and the specifics of your target audience.

Using the feasibility endpoint for price determination​

To assist you in determining an optimal price for your survey, Cint provides target group feasibility endpoint. This endpoint delivers price suggestions based on the detailed specifications of your target group.

  • Endpoint role: The feasibility endpoint processes your specified metrics (such as incidence_rate, length_of_interview, filling_goal, profiles, and location) and considers additional factors like time in field or seasonality to generate a comprehensive estimate.
  • Your control: As a dynamic pricing customer, you retain full control over your CPI; Cint's system will not automatically set the price for your target group. The endpoint provides suggestions to guide your decision.

Interpreting the feasibility response​

When you make a feasibility request, you will receive a response body similar to the example below. This response contains key metrics to help you understand the potential cost and reach of your survey.

Example response:

  {
    "suggested_price": {
      "value": "1.027375339",
      "currency_code": "USD",
      "currency_scale": 2
    },
    "suggested_price_range": {
      "min": {
        "value": "0.667425097",
        "currency_code": "USD",
        "currency_scale": 2
      },
      "max": {
        "value": "1.027375339",
        "currency_code": "USD",
        "currency_scale": 2
      }
    },
    "suggested_filling_goal_range": {
      "min": 500,
      "max": 500
    }
  }

Understanding the response fields​

  • suggested_price (object):
    • value (string): The single most recommended CPI based on your request. This represents a balance of feasibility and cost-efficiency given your target.
    • currency_code (string): The ISO 4217 currency code for the suggested price (e.g., "USD").
    • currency_scale (integer): The number of decimal places for the currency value.
  • suggested_price_range (object):
    • min (object): The minimum suggested CPI at which some level of feasibility is predicted.
    • max (object): The maximum suggested CPI, which typically aligns with the suggested_price and indicates a high likelihood of achieving your goal.
  • suggested_filling_goal_range (object):
    • min (integer): The minimum number of completes that are estimated to be achievable for your specified criteria and suggested price.
    • max (integer): The maximum number of completes estimated to be achievable.

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.