Hey everyone, I've been tasked with evaluating a few CRM options for my team, and one of the big pain points for us is how long it takes to get our legacy customer data imported. I keep hearing "our import is fast," but what does that *actually* mean?
I decided to run a controlled test myself. My goal was to compare the import speed of HubSpot CRM, Salesforce (Sales Cloud), and Zoho CRM using the same dataset. I'm sharing my method and results here to see if this matches your experiences or if I should adjust my approach.
**My Test Setup:**
- **Dataset:** Created a CSV with 10,000 contacts. Fields included: First/Last Name, Email, Company, Phone, a custom field (`Lead_Source_Detail`), and a `Date_Created` timestamp. Tried to mimic our real messy data with about 5% nulls in the phone field.
- **Tools:** Used a simple Python script with the `time` module to time the upload from the moment I hit "import" in the UI to the moment I saw all records appear in the list view. I ran each test three times and took the average.
- **CRM Config:** I used the default contact modules. For each, I mapped the CSV columns to the standard fields, plus one custom field I created in each platform beforehand.
**Here's the snippet I used to generate my test CSV:**
```python
import pandas as pd
import numpy as np
import random
from datetime import datetime, timedelta
# Generate 10k rows
n = 10000
data = {
'first_name': [f'First_{i}' for i in range(n)],
'last_name': [f'Last_{i}' for i in range(n)],
'email': [f'user_{i}@testdomain.com' for i in range(n)],
'company': [f'Company_{random.randint(1, 500)}' for i in range(n)],
'phone': [f'+1-555-{random.randint(100,999)}-{random.randint(1000,9999)}' if random.random() > 0.05 else np.nan for i in range(n)],
'lead_source_detail': [random.choice(['Webinar', 'Organic', 'Paid Social', 'Referral']) for i in range(n)],
'date_created': [(datetime.now() - timedelta(days=random.randint(0, 365))).strftime('%Y-%m-%d') for i in range(n)]
}
df = pd.DataFrame(data)
df.to_csv('crm_import_test_10k.csv', index=False)
```
**My Raw Results (average time in seconds):**
- **HubSpot CRM:** 142 seconds
- **Salesforce:** 217 seconds
- **Zoho CRM:** 189 seconds
But speed isn't just about the raw time. HubSpot was fastest, but it didn't handle my `date_created` format automatically—I had to map it manually. Salesforce gave the most detailed error report when I deliberately introduced a bad row, but was the slowest. Zoho had a weird pause during mapping that skewed the time a bit.
Has anyone else done this kind of practical speed test? I'm wondering if I missed something, like background processing after the initial "import complete" message. Also, would using their native API for imports be a better test than the CSV UI? I'm still learning the ropes with API calls.