Brand Performance by Target Persona

curl --request GET \
  --url https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/summary/brand_composite_score_by_persona \
  --header 'Authorization: <api-key>'

[
  {
    "brand": "<string>",
    "persona": "<string>",
    "brand_awareness_score": "<string>",
    "pros_and_cons_score": "<string>",
    "attributes_score": "<string>",
    "composite_score": "<string>",
    "month": "2023-12-25",
    "week": "2023-12-25"
  }
]

Metrics

Brand Performance by Target Persona

Shows composite performance scores broken down by customer persona, revealing which brands resonate with different audience segments. This endpoint calculates scores separately for each persona (e.g., "young professionals", "athletes", "parents"), showing how brand performance varies across target audiences. Nike might score 90 with athletes but only 60 with seniors, indicating strong segmentation. Essential for audience-specific marketing strategies and identifying underperforming segments to target. **When to use:** User wants to see brand performance by audience segment, identify which personas favor which brands, find persona-specific strengths/weaknesses, or optimize messaging for specific demographics. **Common user queries:** - "How does Nike perform with athletes vs parents?" - "Show brand scores by persona" - "Which brands resonate with young professionals?" - "Compare performance across audience segments" - "Get persona-specific brand rankings" - "What's our score with each customer type?" **Returns:** Array of brands with composite scores for each persona. Example: [{"brand": "Nike", "persona": "Athletes", "composite_score": 92.0}, {"brand": "Nike", "persona": "Parents", "composite_score": 68.5}] Required permission: `read:analysis`.

GET

/

v1

/

organizations

/

{organization_id}

/

workspaces

/

{workspace_id}

/

analyses

/

{analysis_id}

/

metrics

/

summary

/

brand_composite_score_by_persona

Brand Performance by Target Persona

curl --request GET \
  --url https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/summary/brand_composite_score_by_persona \
  --header 'Authorization: <api-key>'

[
  {
    "brand": "<string>",
    "persona": "<string>",
    "brand_awareness_score": "<string>",
    "pros_and_cons_score": "<string>",
    "attributes_score": "<string>",
    "composite_score": "<string>",
    "month": "2023-12-25",
    "week": "2023-12-25"
  }
]

Authorizations

Authorization

string

header

required

Path Parameters

analysis_id

string<uuid>

required

A UUID string identifying the analysis.

organization_id

string<uuid>

required

A UUID string identifying the organization.

workspace_id

string<uuid>

required

A UUID string identifying the workspace.

Query Parameters

brand

string

required

Filter by one specific brand.

collection_date__gte

string<date>

required

Filter by a collection date being greater than or equal the specified date. YYYY-MM-DD format

collection_date__lt

string<date>

required

Filter by a collection date being less than the specified date. YYYY-MM-DD format

period

enum<string>

Interval of the timeseries.

Available options:

month,

week

Response

200 - application/json

brand

string

required

persona

string

required

brand_awareness_score

string<decimal>

required

Pattern: ^-?\d{0,1}(?:\.\d{0,6})?$

pros_and_cons_score

string<decimal>

required

Pattern: ^-?\d{0,1}(?:\.\d{0,6})?$

attributes_score

string<decimal>

required

Pattern: ^-?\d{0,1}(?:\.\d{0,6})?$

composite_score

string<decimal>

required

Pattern: ^-?\d{0,1}(?:\.\d{0,6})?$

month

string<date>

week

string<date>

Brand Performance by Market/Country

Brand Performance by AI Model