1. Highly Scalable: Processes large datasets efficiently, supporting up to 200,000 records per API call.
2. Automation Made Simple: Automate complex tasks like segmentation, data cleansing and lead scoring with minimal effort.  
3. Effortless Integration: Comes with pre-configured Catalyst resources such as serverless functions and data stores that integrate directly with Zoho CRM.
   

Business Scenario

1. Phone number field did not include country codes, or contained incorrect country codes. This inconsistency made it difficult for sales teams to contact Leads reliably.
2. Identifying potential Leads for follow-up required manual effort and marketing team has to run generic campaigns without lead segmentation. 

Solution Overview

Zylker can use the CRM Bulk Data Processor available in Catalyst Solutions to address these challenges at scale.

The solution works as follows:

1. Lead records are fetched in bulk from Zoho CRM using the Bulk Read API.
2. The fetched data is temporarily stored to evaluate the priority and quality of each record. Based on this evaluation, the records are also segmented accordingly.
3. The Country field value is used to identify and append the correct country code to the phone number.
4. The processed records are updated back into Zoho CRM using Bulk Write API.

All operations are executed using pre-configured Catalyst resources provided by the CodeLib. You can explore the Bulk Data Flow in Catalyst help page to understand how each resource participates in the processing pipeline.

Prerequisites

Before you begin, ensure the following:

1. Log into your Zoho CRM and navigate to Setup > Customization > Modules and Fields > Leads.

Create the following custom Single Line fields to map existing record data in Zoho CRM. 

1. Last Activity Days
2. Web Engagement Score

Refer to the Working with Custom Fields help page for detailed guide. 

2. Create the following custom Single Line fields to store the calculated values during bulk processing:

1. Lead Score Value
2. Lead Segment
3. Sales Priority
4. Data Quality Status
   

3. Go to Setup > Developer Hub > Catalyst Solutions > Zoho CRM Bulk Data Processor. 

4. Click Go to Catalyst and create a Catalyst account if required.

Step 1: Create a Cron Job

1. Provide a Name and Description for the cron job. 
2. Select Function and choose BulkJobScheduler from the dropdown in the Target Function field.
3. Enter the following parameters and values:
   
   MODULES -> Leads
   FIELDS_TO_BE_PROCESSED -> Last_Name, Company, Mobile, Country, Designation, No_of_Employees, Web_Engagement_Score, Lead_Score_Value, Lead_Segment, Sales_Priority, Data_Quality_Status
   
   Use GET Modules Metadata API and GET Fields Metadata API to get the API names of the required module and fields.
    
4. Choose the Schedule Type as One Time for our use case.
   

Step 2: Configure Zoho CRM API Credentials 

1. ZohoFiles.files.ALL
2. ZohoCRM.bulk.ALL
3. ZohoCRM.modules.ALL
4. ZohoCRM.settings.ALL
5. ZohoCRM.org.ALL
   

These environment variables are used by Catalyst Connectors to create access tokens for establishing secure connection between Zoho CRM and Catalyst.

Step 3: Add Business Logic

1. Country Names (India, Unites States, United Kingdom)
2. Abbreviations (Ind, IN, USA, US, UK)
3. Calling Codes (+91, +1, +44)
   

Lead Priority and Segmentation

Write Back to Records:

1. Mobile: Formatted phone numbers.
2. Lead Score: Total score calculated from all applicable fields.
3. Lead Segment: Segment derived from the lead score.
4. Sales Priority: Priority assigned based on the lead segment.
5. Data Quality Status: Overall quality of the Lead record.
   

if (normalizedMobile.isPresent()) { data.put("Mobile", normalizedMobile.get()); } data.put("Lead_Score", leadScore); data.put("Lead_Segment", leadSegment); data.put("Sales_Priority", salesPriority); data.put("Data_Quality_Status", dataQualityStatus); }

Step 4: Deploy to Development

Run the following command to deploy your local customizations to the Development Environment of Catalyst.

catalyst deploy

You can find the complete code sample on GitHub for reference.

Try it Out!