VMX is a Chrome extension powered by LotLinx, an AI-driven platform for the automotive industry. It leverages billions of data points to optimize vehicle pricing and marketing timing, aiming to maximize profit margins for dealerships. VMX offers a suite of features designed to enhance vehicle sales strategies through data-driven insights and AI-powered recommendations.
VMX – Powered by LotLinx
Utilize Lotlinx's AI platform to match buyer demand to specific vehicles, according to your sales goals.
Introduction
Feature
AI-Powered Boosting
VMX's AI platform recommends optimal times to promote vehicles, a feature called "Boost". This function utilizes LotLinx's machine learning omnichannel platform to drive potential buyers to Vehicle Detail Pages (VDPs).
Intelligent Price Recommendation
The extension provides price recommendations based on LotLinx's proprietary shopper and market data. This feature allows dealers to compare their current listing prices with AI-suggested prices, offering a competitive edge beyond simple discounting.
Shopper Demand Analysis
VMX includes a proprietary Shopper Demand Market Index, displaying the number of shoppers and rated demand in the dealer's market area for specific vehicles. This data is presented in an easy-to-understand graph showing high or low demand.
VDP and Price Correlation
A graph feature correlates Google Analytics VDP data with pricing information, providing insights into the relationship between a vehicle's price and its VDP views over time.
Third-Party Listing Integration
VMX compiles badges and rankings from major listing portals (CarGurus, Autotrader, and Cars.com) for each vehicle, offering context on current pricing in relation to these platforms.
FAQ
What is the primary purpose of VMX?
VMX is designed to help automotive dealers optimize their vehicle pricing and marketing strategies using AI-driven insights and recommendations.
How does the Boosting feature work?
The Boosting feature uses AI to recommend the best times to promote a vehicle, effectively advertising it through LotLinx's platform to drive potential buyers to the dealer's VDPs.
Can VMX help with pricing strategies?
Yes, VMX offers a Price Recommendation feature that compares current listing prices with AI-suggested prices based on market data and shopper demand.
Does VMX provide information on market demand?
VMX includes a Shopper Demand Market Index that shows the number of shoppers and rated demand for specific vehicles in the dealer's market area.
How does VMX integrate with third-party listing sites?
VMX compiles badges and rankings from CarGurus, Autotrader, and Cars.com, providing context on how a vehicle's current price compares on these platforms.
Latest Traffic Insights
Monthly Visits
193.90 M
Bounce Rate
56.27%
Pages Per Visit
2.71
Time on Site(s)
115.91
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.48%
- Paid Referrals:0.55%
- Email:0.15%
- Referrals:12.81%
- Search Engines:16.21%
- Direct:69.81%
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Here are some examples of auto-replies you can use for Google Business reviews: For Positive Reviews: * "Thank you so much for the wonderful review! We're thrilled you had a positive experience. We appreciate your business and look forward to seeing you again soon." * "We're so happy to hear you enjoyed your time with us! Your feedback means a lot to us. Thanks for taking the time to leave a review." * "Wow, thank you for the kind words! We strive to provide excellent service and we're glad we met your expectations. We appreciate your support!" For Negative Reviews: * "We're sorry to hear that you had a negative experience. We value your feedback and would like to learn more about what happened. Please contact us directly at [phone number] or [email address] so we can address your concerns." * "Thank you for your honest feedback. We apologize that we didn't meet your expectations. We're always working to improve our services and we appreciate you bringing this to our attention." * "We understand your frustration and sincerely apologize for any inconvenience caused. We'd like to make things right. Please contact us at [phone number] or [email address] so we can discuss this further." Tips: * Be prompt: Respond to reviews as quickly as possible. * Be genuine: Your responses should sound sincere and authentic. * Be professional: Avoid getting defensive or argumentative. * Keep it concise: Get to the point and avoid writing lengthy responses. * Offer solutions: If possible, offer a way to resolve the issue.
193.90 M
![Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the "Integrations" tab.
- Click "Create new integration" and choose "API Token".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
"""Saves a ChatGPT response to a Notion page."""
url = f"https://api.notion.com/v1/pages/{page_id}/children"
headers = {"Authorization": f"Bearer {token}"}
data = {
"parent": {
"page_id": page_id
},
"properties": {
"title": {
"title": [
{
"text": {
"content": "ChatGPT Response"
}
}
]
},
"content": {
"rich_text": [
{
"text": {
"content": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = "YOUR_NOTION_PAGE_ID"
token = "YOUR_NOTION_API_TOKEN"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
"This is the first ChatGPT response.",
"This is the second ChatGPT response.",
"This is the third ChatGPT response."
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.](https://static.right-ai.com/tools/2024/7/4/chromewebstore-google-com-detail-save-chatgpt-to-notion-da-djefhicmpbpmmlagbgooepmbobdhajgn-thumbnail-1720087209.png "Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the \"Integrations\" tab.
- Click \"Create new integration\" and choose \"API Token\".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
\"\"\"Saves a ChatGPT response to a Notion page.\"\"\"
url = f\"https://api.notion.com/v1/pages/{page_id}/children\"
headers = {\"Authorization\": f\"Bearer {token}\"}
data = {
\"parent\": {
\"page_id\": page_id
},
\"properties\": {
\"title\": {
\"title\": [
{
\"text\": {
\"content\": \"ChatGPT Response\"
}
}
]
},
\"content\": {
\"rich_text\": [
{
\"text\": {
\"content\": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = \"YOUR_NOTION_PAGE_ID\"
token = \"YOUR_NOTION_API_TOKEN\"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
\"This is the first ChatGPT response.\",
\"This is the second ChatGPT response.\",
\"This is the third ChatGPT response.\"
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.")
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.Save ChatGPT Conversations to Notion with One Click Export your ChatGPT conversations directly to Notion with a single click.
193.90 M
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