Estimate Bing Ads audience reach

Estimate monthly Bing Ads reach from location, age, gender and LinkedIn industry and job-function targeting, using a fixed USD 1 bid and USD 24 daily budget.

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Use the Toolmu Tool bing-audience-estimation-live-dataforseo to estimate Bing Ads audience reach. Reuse the existing Toolmu connection, or follow https://toolmu.com/SKILL.md if setup is needed, and stay within the existing authorization and agreed budget. Ask only for missing conditions using everyday language; never ask the user for coordinates or numeric category codes. Resolve an unambiguous city or area with a reliable place-name lookup, then use its latitude and longitude with the fixed 100 km radius. If the place is ambiguous, ask which city or area they mean. Map the user’s age wording to 1–3 supported age names and gender wording to one supported value. Use the official DataForSEO supported industry and job-function lists to map everyday business and work descriptions to 1–2 industry IDs and one job-function ID. If a match is unclear or unsupported, ask the user a simple clarifying question; never guess a code. Set bid to integer 1 and daily_budget to integer 24, the fixed USD advertising assumptions. Summarize available monthly audience/reach and other forecast values without filling nulls, rounding fractional audience estimates or inventing a currency. Explain the country scope and uncertain forecast period. Retrieve estimates only; do not create or launch a campaign.

Task:
Estimate how many people in [city or area] could see an ad if they match [age range], [gender], [kind of business], and [type of work]. State the fixed ad amounts. This is an estimate, not a promise of views, clicks, or customers.

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DataForSEO

Estimate Bing Ads audience reach

Estimate monthly Bing Ads reach from location, age, gender and LinkedIn industry and job-function targeting, using a fixed USD 1 bid and USD 24 daily budget.

You receive

Receive DataForSEO’s estimates of monthly audience reach and impressions for the targeting you provide. When available, the result can also include forecast ranges for audience size, impressions, clicks and spending, plus bid or daily-budget suggestions. Use the available values to assess this advertising scenario. Keep fractional audience estimates as returned, distinguish unavailable values from zero, and check the reported currency before interpreting monetary forecasts.

Start with your task

Estimate how many people in [city or area] could see an ad if they match [age range], [gender], [kind of business], and [type of work]. State the fixed ad amounts. This is an estimate, not a promise of views, clicks, or customers.

What to know

All targeting conditions are required, and the bid and daily budget are fixed. The supplier provides data for the country containing the coordinates; a precise radius-only audience is not guaranteed. Some forecasts or currency may be unavailable. Monthly estimates do not establish an exact calendar month or collection time, and do not guarantee delivered reach or campaign results. This Tool does not launch a campaign.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Audience estimation conditions`request`	`object`	Required	Provide all seven conditions together: location, age, gender, LinkedIn industry and job-function targeting, and the fixed bid and daily budget. Required fields `location_coordinate, age, bid, daily_budget, gender, industry, job_function`
Age ranges`request.age`	`array`	Required	Choose 1–3 supported age-range names. Values include eighteen_to_twenty_four, twenty_five_to_thirty_four, thirty_five_to_forty_nine, fifty_to_sixty_four, sixty_five_and_above, thirteen_to_seventeen, zero_to_twelve and unknown. Minimum items `1` Maximum items `3`
Age-range name`request.age[]`	`string`	—	One supported age-range name, supplied as a string of 1–256 characters. Minimum length `1` Maximum length `256`
Fixed bid assumption`request.bid`	`integer`	Required	Supply the integer 1, representing a USD 1 bid. This Tool fixes the advertising assumption; it is not the Toolmu execution charge. Fixed value `1`
Gender selection`request.gender`	`array`	Required	Supply exactly one value: male, female or unknown. Minimum items `1` Maximum items `1`
Gender name`request.gender[]`	`string`	—	The selected gender value, supplied as a string of 1–256 characters. Minimum length `1` Maximum length `256`
LinkedIn industry IDs`request.industry`	`array`	Required	Supply 1–2 supported LinkedIn industry targeting IDs as numeric strings, rather than industry names. For example, 806301758 represents Food & Beverages. Minimum items `1` Maximum items `2`
Industry ID`request.industry[]`	`string`	—	One supported industry ID as a string of 1–256 characters. Minimum length `1` Maximum length `256`
Fixed daily budget assumption`request.daily_budget`	`integer`	Required	Supply the integer 24, representing a USD 24 daily campaign budget. This is a daily advertising assumption, not a monthly budget or the Toolmu execution charge. Fixed value `24`
LinkedIn job-function ID`request.job_function`	`array`	Required	Supply exactly one supported LinkedIn job-function targeting ID as a numeric string, rather than a job title. For example, 806298607 represents Marketing. Minimum items `1` Maximum items `1`
Job-function ID`request.job_function[]`	`string`	—	One supported job-function ID as a string of 1–256 characters. Minimum length `1` Maximum length `256`
Location coordinates`request.location_coordinate`	`string`	Required	Use latitude,longitude,radius, with radius in kilometres, for example 29.6821525,-82.4098881,100. Data is supplied for the country containing the coordinates; the radius does not establish a circle-only audience. Minimum length `1` Maximum length `256`

View raw JSON

{
  "type": "object",
  "required": [
    "request"
  ],
  "properties": {
    "request": {
      "type": "object",
      "required": [
        "location_coordinate",
        "age",
        "bid",
        "daily_budget",
        "gender",
        "industry",
        "job_function"
      ],
      "properties": {
        "age": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 256,
            "minLength": 1
          },
          "maxItems": 3,
          "minItems": 1
        },
        "bid": {
          "type": "integer",
          "const": 1
        },
        "gender": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 256,
            "minLength": 1
          },
          "maxItems": 1,
          "minItems": 1
        },
        "industry": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 256,
            "minLength": 1
          },
          "maxItems": 2,
          "minItems": 1
        },
        "daily_budget": {
          "type": "integer",
          "const": 24
        },
        "job_function": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 256,
            "minLength": 1
          },
          "maxItems": 1,
          "minItems": 1
        },
        "location_coordinate": {
          "type": "string",
          "maxLength": 256,
          "minLength": 1
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}

Result schema

Output fields have not been documented yet.

Questions about this tool.

Inputs, results and details to know before running it.

Get connected

Provide age-range names and one gender value, plus LinkedIn industry and job-function IDs. Industry and job-function inputs are numeric strings, not free-text labels. Use supported IDs; the input reference includes illustrative Food & Beverages and Marketing IDs. All these conditions are required.

Estimate Bing Ads audience reach

Estimate Bing Ads audience reach

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Describe the people you want

Nearby places included

What the fixed ad amounts mean

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Describe the people you want

Nearby places included

What the fixed ad amounts mean

Questions about this tool.

How do I select demographic and professional targeting?

Does the coordinate radius define the forecast audience?

Can I change the bid or daily budget?

How should I read missing or fractional forecast values?

Are these actual campaign results for a particular month?