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B2B Case Study Customer Win/Loss Intelligence

Try for free

Use this Actor to analyze b2b case study customer win/loss and return decision-ready structured signals. Compare recurring vendor case-study and customer-story datasets to detect newly won customers, vanished references, use-case shifts, and proof momentum.

Pricing

from $12.60 / 1,000 results

Rating

0.0

(0)

Developer

Rafael Barreto Haddad

Actor stats

Bookmarked

Total users

Monthly active users

21 hours ago

Last modified

Categories

Business

Lead generation

Automation

You can access the B2B Case Study Customer Win/Loss Intelligence programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "currentItems": [
10        {
11            "id": "c1",
12            "vendor": "Acme SaaS",
13            "customer": "Northwind",
14            "industry": "Retail",
15            "useCase": "AI support",
16            "proofScore": 92,
17            "publishedAt": "2026-09-01",
18        },
19        {
20            "id": "c2",
21            "vendor": "Acme SaaS",
22            "customer": "Contoso",
23            "industry": "Finance",
24            "useCase": "Fraud analytics",
25            "proofScore": 85,
26            "publishedAt": "2026-09-05",
27        },
28        {
29            "id": "c3",
30            "vendor": "Beta Cloud",
31            "customer": "Fabrikam",
32            "industry": "Manufacturing",
33            "useCase": "Data platform",
34            "proofScore": 76,
35            "publishedAt": "2026-09-07",
36        },
37    ],
38    "previousItems": [
39        {
40            "id": "c1",
41            "vendor": "Acme SaaS",
42            "customer": "Northwind",
43            "industry": "Retail",
44            "useCase": "AI support",
45            "proofScore": 80,
46            "publishedAt": "2026-06-01",
47        },
48        {
49            "id": "c4",
50            "vendor": "Acme SaaS",
51            "customer": "OldCo",
52            "industry": "Media",
53            "useCase": "Automation",
54            "proofScore": 65,
55            "publishedAt": "2026-04-01",
56        },
57    ],
58}
59
60# Run the Actor and wait for it to finish
61run = client.actor("quanmatrix/b2b-case-study-win-loss-intelligence").call(run_input=run_input)
62
63# Fetch and print Actor results from the run's dataset (if there are any)
64print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
65for item in client.dataset(run.default_dataset_id).iterate_items():
66    print(item)
67
68# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

B2B Case Study Customer Win/Loss Intelligence API in Python

The Apify API client for Python is the official library that allows you to use B2B Case Study Customer Win/Loss Intelligence API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

B2B Case Study Customer Win/Loss Intelligence API in JavaScript

B2B Case Study Customer Win/Loss Intelligence API through CLI

B2B Case Study Customer Win/Loss Intelligence OpenAPI definition

B2B Case Study Customer Win/Loss Intelligence API

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