Lookalike Companies - by Ocean.IO

Description

This enrichment is powered by Ocean.io, a provider of lookalike companies based on advanced similarity analysis.

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The Lookalike Companies Enrichment identifies and returns businesses that closely resemble a given company across key dimensions such as industry, size, geography, and online presence. This enrichment is powered by an external API provided by Ocean.io, which uses its own similarity engine to surface relevant company lookalikes. Similarity scores are calculated based on a combination of structured business attributes (e.g., number of employees, revenue range, industry classification, and country), semantic similarity of company descriptions, digital footprint overlap (such as website content and web signals), and additional contextual indicators sourced from Ocean.io’s data graph. For each input company (business_id), the enrichment returns up to 3 lookalike companies, including their firmographic attributes and a similarity score indicating the strength of the match (e.g., Medium or High). This enrichment provides a powerful signal for identifying companies that “look like” your target ideal for use cases such as lead generation, market expansion, competitive intelligence, and segmentation strategies.

How It Works

Input: Provide a business_id obtained from the Match Businesses API.
Processing: The system identifies businesses with high similarity scores based on business attributes, descriptions, and digital footprint.
Output: A list of lookalike companies with attributes such as name, website, industry, size, revenue range, and similarity score.

Example Request (cURL)

Bash

{
"request_context": {
"seller_id": "sample_id"
},
"business_id": "9664930a34aa8e59f9b994b70e8bc15e"
}

Example Response

JSON

{
"response_context": {
"correlation_id": "fe2bade7db0640d0887aebc6d0e2e3f3",
"request_status": "success",
"time_took_in_seconds": 3.071
},
"data": [
{
    "business_id": "9664930a34aa8e59f9b994b70e8bc15e",
    "lookalike_business_id": "443fbc49b4ab9988d64065d7e2fddf1a",
    "lookalike_business_name": "centrify",
    "lookalike_website": "https://delinea.com",
    "lookalike_description": "Please follow Delinea on Linkedin! Centrify is now Delinea....",
    "lookalike_number_of_employees_range": "501-1000",
    "lookalike_revenue_range": "75M-200M",
    "lookalike_naics_description": "Software Publishers",
    "lookalike_country_location": "us",
    "similarity_score": "High"
},
{
    "business_id": "9664930a34aa8e59f9b994b70e8bc15e",
    "lookalike_business_id": "b5bff70c7cd89e7677a6863751678f30",
    "lookalike_business_name": "innskill",
    "lookalike_website": "https://innskill.com",
    "lookalike_description": "INNSKILL - Empowering Businesses with IAM and Cybersecurity Solutions At INNSKILL, we specialize in providing comprehensive Identity and Access Management (IAM) .....",
    "lookalike_number_of_employees_range": "51-200",
    "lookalike_revenue_range": "10M-25M",
    "lookalike_naics_description": "Computer Systems Design and Related Services",
    "lookalike_country_location": "nl",
    "similarity_score": "High"
},
{
    "business_id": "9664930a34aa8e59f9b994b70e8bc15e",
    "lookalike_business_id": "0c9e2098799d2d7ac37eba0c7aac5060",
    "lookalike_business_name": "saviynt",
    "lookalike_website": "https://saviynt.com",
    "lookalike_description": "About Us At Saviynt, we are pioneers in intelligent identity security solutions....",
    "lookalike_number_of_employees_range": "1001-5000",
    "lookalike_revenue_range": "500M-1B",
    "lookalike_naics_description": "Software Publishers",
    "lookalike_country_location": "us",
    "similarity_score": "High"
}
],
"entity_id": "9664930a34aa8e59f9b994b70e8bc15e"
}

Best Practices

Always use a validbusiness_id obtained via the Match Businesses API.
Interpret similarity scores to prioritize the strongest matches for your use case (e.g. focus on “High” similarity for precise lookalikes).
Combine lookalike insights with other enrichment signals (e.g. firmographics, technographics) for deeper segmentation.
Re-run lookalike queries periodically to capture changes in the business landscape and discover new similar companies.

Lookalike Companies Output Signals

SignalAPI	Name	Description	Data Type
comparable_business_id	Comparable Business ID	The Explorium ID of the requested company.	string
lookalike_business_id	Lookalike Business ID	The Explorium ID of the lookalike company.	string
lookalike_business_name	Lookalike Business Name	Name of the lookalike company.	string
lookalike_website	Lookalike Website	Website URL of the lookalike.	string
lookalike_description	Lookalike Description	Description of the lookalike company.	string
lookalike_number_of_employees_range	Lookalike Number of Employees Range	Employee range for the lookalike.	string
lookalike_revenue_range	Lookalike Revenue Range	Revenue range for the lookalike.	string
lookalike_naics_description	Lookalike NAICS Description	NAICS (North American Industry Classification System) description for the lookalike.	string
lookalike_country_location	Lookalike Country Location	The country of operation for the lookalike.	string
similarity_score	Similarity Score	Similarity score of the lookalike to the requested company. Medium (0.95–0.975), High (0.975+)	string

For additional enrichment options, explore related API endpoints below.

Authorizations

api_key

string

header

required

Body

application/json

business_id

string

required

request_context

Request Context · object

Example:

null

parameters

Parameters · object

Response

Successful Response

This is base response model for all responses in partner service.

response_context

ResponseContext · object

required

Show child attributes

response_context.correlation_id

string

required

response_context.request_status

enum<string>

required

The RequestStatus class is an enumeration that defines the possible statuses of a request.

This enum is used to indicate whether a request was successful, missed, or failed. It ensures consistent handling of request statuses across the application.

Attributes: SUCCESS: Indicates that the request was successfully processed. MISS: Indicates that the request did not find any matching data. FAILURE: Indicates that the request encountered an error or failure.

Available options:

success,

miss,

failure

response_context.time_took_in_seconds

number

required

data

LookalikesOutputSchema · object

LookalikesOutputSchema · object
LookalikesOutputSchema · object[]

Show child attributes

data.business_id

string

required

data.lookalike_business_id

string

data.lookalike_business_name

string

Maximum string length: 256

data.lookalike_website

string<uri>

Maximum string length: 2048

data.lookalike_description

string

data.lookalike_number_of_employees_range

enum<string>

The NumberOfEmployeesRange class is an enumeration that represents predefined ranges for the number of employees in a company. These ranges are used for filtering and categorizing companies based on their workforce size.

Available options:

1-10,

11-50,

51-200,

201-500,

501-1000,

1001-5000,

5001-10000,

10001+

data.lookalike_revenue_range

enum<string>

The RevenueRange class is an enumeration that represents predefined ranges for the revenue of a company.

Available options:

0-500K,

500K-1M,

1M-5M,

5M-10M,

10M-25M,

25M-75M,

75M-200M,

200M-500M,

500M-1B,

1B-10B,

10B-100B,

100B-1T,

1T-10T,

10T+

data.lookalike_naics_description

string

data.lookalike_country_location

string

data.similarity_score

string

entity_id

Explorium AgentSource

Partners

Lookalike Companies - by Ocean.IO

Description

Authorizations

Body

Response

Explorium AgentSource

Partners

​Description

Authorizations

Body

Response

Description