Managing Genesys Cloud Outbound Campaign Progress Codes Dynamically via Java Spring Boot Webhooks
What You Will Build
A Spring Boot webhook endpoint that receives Genesys Cloud call state change events, applies regex patterns to extract disposition context from participant data, updates contact progress codes via the Campaign API, and executes downstream business logic. This tutorial uses the Genesys Cloud Java SDK and the Outbound Campaign API. The code is written in Java 17 with Spring Boot 3.2.
Prerequisites
- OAuth 2.0 Client Credentials grant type
- Required scopes:
conversation:call:read,outbound:campaign:read,outbound:campaign:write,outbound:contact:write - Genesys Cloud Java SDK v3.0.0 or later
- Java 17, Spring Boot 3.2, Maven
- External dependencies:
genesys-cloud-java-sdk,spring-boot-starter-web,spring-boot-starter-validation,org.slf4j
Authentication Setup
Genesys Cloud APIs require OAuth 2.0 bearer tokens. The Java SDK provides an OAuthClient that automatically handles token acquisition and refresh. You must configure the ApiClient with your environment URL and client credentials before invoking any API methods.
import com.mypurecloud.sdk.v2.api_client.ApiClient;
import com.mypurecloud.sdk.v2.auth.OAuthClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class GenesysConfig {
private static final String ENVIRONMENT = "https://api.mypurecloud.com";
private static final String CLIENT_ID = System.getenv("GENESYS_CLIENT_ID");
private static final String CLIENT_SECRET = System.getenv("GENESYS_CLIENT_SECRET");
private static final String[] SCOPES = {
"conversation:call:read",
"outbound:campaign:read",
"outbound:campaign:write",
"outbound:contact:write"
};
@Bean
public ApiClient apiClient() throws Exception {
OAuthClient oAuthClient = new OAuthClient(ENVIRONMENT, CLIENT_ID, CLIENT_SECRET);
oAuthClient.setScopes(SCOPES);
ApiClient client = new ApiClient();
client.setEnvironment(ENVIRONMENT);
client.setOAuthClient(oAuthClient);
// Pre-fetch token to validate credentials at startup
oAuthClient.getAccessToken();
return client;
}
}
The OAuthClient caches the access token in memory and automatically requests a new token when the current one expires. This eliminates manual token refresh logic in your business code.
Implementation
Step 1: Configure the Webhook Endpoint and Parse Call State
Genesys Cloud delivers call state changes via the conversation:call:state:change webhook. The payload contains conversation metadata, participant states, and custom data injected by the outbound dialer. You must extract the campaign identifier, contact identifier, and participant context to proceed with disposition mapping.
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonProperty;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;
import java.util.List;
import java.util.Map;
@RestController
@RequestMapping("/webhooks/genesys")
public class OutboundWebhookController {
@PostMapping("/call-state")
public ResponseEntity<String> handleCallStateChange(@RequestBody CallStatePayload payload) {
if (payload.getEventType() == null || !payload.getEventType().equals("conversation:call:state:change")) {
return ResponseEntity.badRequest().body("Invalid event type");
}
String campaignId = payload.getConversation().getCustomData().get("campaignId");
String contactId = payload.getConversation().getCustomData().get("contactId");
if (campaignId == null || contactId == null) {
return ResponseEntity.badRequest().body("Missing campaignId or contactId in customData");
}
// Extract participant context for regex evaluation
String participantContext = extractParticipantContext(payload.getParticipants());
// Downstream processing will be handled in Step 3
processDispositionUpdate(campaignId, contactId, participantContext);
return ResponseEntity.ok("Processed");
}
private String extractParticipantContext(List<Participant> participants) {
StringBuilder context = new StringBuilder();
for (Participant p : participants) {
if (p.getCustomData() != null) {
context.append(p.getCustomData().getOrDefault("ivrResponse", ""))
.append("|")
.append(p.getCustomData().getOrDefault("agentNotes", ""));
}
}
return context.toString();
}
// DTOs matching Genesys Cloud webhook structure
@JsonIgnoreProperties(ignoreUnknown = true)
static class CallStatePayload {
@JsonProperty("eventType") private String eventType;
@JsonProperty("conversation") private Conversation conversation;
@JsonProperty("participants") private List<Participant> participants;
public String getEventType() { return eventType; }
public Conversation getConversation() { return conversation; }
public List<Participant> getParticipants() { return participants; }
}
@JsonIgnoreProperties(ignoreUnknown = true)
static class Conversation {
@JsonProperty("customData") private Map<String, String> customData;
public Map<String, String> getCustomData() { return customData; }
}
@JsonIgnoreProperties(ignoreUnknown = true)
static class Participant {
@JsonProperty("customData") private Map<String, String> customData;
public Map<String, String> getCustomData() { return customData; }
}
}
The webhook validates the event type and extracts identifiers from customData. Genesys Cloud Outbound automatically populates campaignId and contactId when the dialer initiates the call. The participant context concatenates IVR responses and agent notes for unified regex evaluation.
Step 2: Apply Regex Patterns and Map to Progress Codes
Progress codes are configured at the campaign level in Genesys Cloud. Your application must translate raw participant data into the exact progress code name defined in the campaign settings. Regex patterns provide deterministic mapping without requiring hardcoded string comparisons.
import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class DispositionMapper {
private static final Pattern CALLBACK_PATTERN = Pattern.compile("\\b(follow[_\\-]?up|callback|schedule[_\\-]?back)\\b", Pattern.CASE_INSENSITIVE);
private static final Pattern DNC_PATTERN = Pattern.compile("\\b(not[_\\-]?interested|no[_\\-]?thanks|do[_\\-]?not[_\\-]?call|opt[_\\-]?out)\\b", Pattern.CASE_INSENSITIVE);
private static final Pattern SUCCESS_PATTERN = Pattern.compile("\\b(confirmed|interested|booked|purchased)\\b", Pattern.CASE_INSENSITIVE);
public static String mapContextToProgressCode(String participantContext) {
if (participantContext == null || participantContext.isBlank()) {
return "Unknown";
}
Matcher dncMatcher = DNC_PATTERN.matcher(participantContext);
if (dncMatcher.find()) {
return "Do Not Call";
}
Matcher callbackMatcher = CALLBACK_PATTERN.matcher(participantContext);
if (callbackMatcher.find()) {
return "Scheduled Callback";
}
Matcher successMatcher = SUCCESS_PATTERN.matcher(participantContext);
if (successMatcher.find()) {
return "Sale Confirmed";
}
return "No Match";
}
}
The mapper evaluates patterns in a specific priority order. Do Not Call patterns take precedence to prevent accidental follow-up scheduling. Each pattern returns the exact string matching the progress code name configured in the Genesys Cloud Outbound campaign. You must verify these names against your campaign settings before deployment.
Step 3: Update Contact Disposition and Trigger Downstream Logic
The Campaign API updates contact disposition via PUT /api/v2/outbound/campaigns/{campaignId}/contacts/{contactId}. The Java SDK exposes this as OutboundApi.updateCampaignContact(). You must construct a Contact object with the disposition field populated. The SDK throws ApiException on HTTP errors. You must handle 429 rate limits with exponential backoff and log 5xx server errors for retry queues.
import com.mypurecloud.sdk.v2.api_client.ApiException;
import com.mypurecloud.sdk.v2.api_client.ApiResponse;
import com.mypurecloud.sdk.v2.api.outbound.OutboundApi;
import com.mypurecloud.sdk.v2.model.Contact;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Service;
import java.time.Instant;
@Service
public class CampaignDispositionService {
private static final Logger log = LoggerFactory.getLogger(CampaignDispositionService.class);
private final OutboundApi outboundApi;
public CampaignDispositionService(OutboundApi outboundApi) {
this.outboundApi = outboundApi;
}
public void processDispositionUpdate(String campaignId, String contactId, String participantContext) {
String progressCode = DispositionMapper.mapContextToProgressCode(participantContext);
Contact contactUpdate = new Contact();
contactUpdate.setDisposition(progressCode);
try {
updateContactWithRetry(campaignId, contactId, contactUpdate);
triggerDownstreamLogic(campaignId, contactId, progressCode);
} catch (ApiException e) {
handleApiException(e, campaignId, contactId);
}
}
private void updateContactWithRetry(String campaignId, String contactId, Contact contact) throws ApiException {
int maxRetries = 3;
long baseDelayMs = 1000;
for (int attempt = 1; attempt <= maxRetries; attempt++) {
try {
ApiResponse<Contact> response = outboundApi.updateCampaignContactWithHttpInfo(
campaignId, contactId, contact);
if (response.getStatusCode() == 200) {
log.info("Disposition updated for contact {} in campaign {}", contactId, campaignId);
return;
}
} catch (ApiException e) {
if (e.getCode() == 429) {
long retryAfter = e.getHeaders().getOrDefault("Retry-After", "2");
long delay = Math.max(Long.parseLong(retryAfter) * 1000, baseDelayMs * (long) Math.pow(2, attempt - 1));
log.warn("Rate limited on attempt {}. Waiting {}ms", attempt, delay);
Thread.sleep(delay);
} else {
throw e;
}
}
}
throw new ApiException(429, "Max retries exceeded for 429 response");
}
private void triggerDownstreamLogic(String campaignId, String contactId, String progressCode) {
// Downstream business logic execution
if ("Do Not Call".equals(progressCode)) {
suppressContactInExternalSystem(contactId);
} else if ("Scheduled Callback".equals(progressCode)) {
scheduleFollowUpTask(contactId, campaignId);
}
log.info("Downstream logic triggered for contact {}: {}", contactId, progressCode);
}
private void suppressContactInExternalSystem(String contactId) {
// Replace with actual CRM suppression API call
log.info("Suppressing contact {} in external CRM", contactId);
}
private void scheduleFollowUpTask(String contactId, String campaignId) {
// Replace with actual task scheduling service
log.info("Scheduling follow-up for contact {} in campaign {}", contactId, campaignId);
}
private void handleApiException(ApiException e, String campaignId, String contactId) {
if (e.getCode() == 401 || e.getCode() == 403) {
log.error("Authentication or authorization failed for campaign {} contact {}: {}", campaignId, contactId, e.getMessage());
} else if (e.getCode() >= 500) {
log.error("Server error updating disposition for campaign {} contact {}: {}", campaignId, contactId, e.getMessage());
} else {
log.error("API error {} updating disposition: {}", e.getCode(), e.getMessage());
}
}
}
The retry loop reads the Retry-After header when present, otherwise applies exponential backoff. The updateCampaignContactWithHttpInfo method returns the full ApiResponse object, allowing you to inspect status codes before the SDK throws exceptions. Downstream logic executes only after successful disposition persistence to maintain data consistency.
Complete Working Example
The following Maven configuration and Spring Boot application class assemble the components into a runnable service.
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>com.mypurecloud</groupId>
<artifactId>genesys-cloud-java-sdk</artifactId>
<version>3.0.0</version>
</dependency>
</dependencies>
import com.mypurecloud.sdk.v2.api_client.ApiClient;
import com.mypurecloud.sdk.v2.api.outbound.OutboundApi;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
@SpringBootApplication
public class OutboundWebhookApplication {
public static void main(String[] args) {
SpringApplication.run(OutboundWebhookApplication.class, args);
}
@Bean
public OutboundApi outboundApi(ApiClient apiClient) {
return new OutboundApi(apiClient);
}
}
Deploy the application with environment variables GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET configured. Register the webhook URL in Genesys Cloud under Organization > Webhooks, selecting the conversation:call:state:change event. The service validates the payload, maps disposition via regex, updates the contact through the Campaign API, and executes downstream suppression or scheduling routines.
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: Expired OAuth token or invalid client credentials. The
OAuthClientmay fail to refresh if the client secret is incorrect or the grant type is misconfigured. - Fix: Verify
GENESYS_CLIENT_IDandGENESYS_CLIENT_SECRETmatch the OAuth client created in Genesys Cloud. Ensure the client type is set toClient Credentials. Restart the application to force token re-acquisition. - Code Fix: The
OAuthClientautomatically retries token requests. If failures persist, log the raw token response by enabling SDK debug logging:ApiClient.setDebugging(true).
Error: 403 Forbidden
- Cause: Missing OAuth scopes or insufficient user permissions on the outbound campaign. The application requires
outbound:campaign:writeandoutbound:contact:write. - Fix: Update the OAuth client scopes in Genesys Cloud. Assign the application user to a role with Outbound Campaign Manager permissions. Verify the campaign ID belongs to an active outbound campaign.
- Code Fix: Add scope validation at startup:
if (!Arrays.asList(oAuthClient.getScopes()).contains("outbound:campaign:write")) {
throw new IllegalStateException("Missing required scope: outbound:campaign:write");
}
Error: 429 Too Many Requests
- Cause: Exceeding Genesys Cloud rate limits for the Campaign API endpoint. Outbound contact updates share global rate limits with other outbound operations.
- Fix: Implement exponential backoff with
Retry-Afterheader parsing. Distribute webhook processing across multiple worker threads with rate limiting. Avoid synchronous batch updates during peak dialing hours. - Code Fix: The retry loop in
updateContactWithRetryhandles 429 responses. IncreasemaxRetriesto 5 and add a circuit breaker for sustained throttling.
Error: Regex Mismatch or Incorrect Progress Code
- Cause: The progress code name returned by the mapper does not exactly match the campaign configuration. Genesys Cloud rejects disposition updates with invalid code names.
- Fix: Query the campaign configuration via
GET /api/v2/outbound/campaigns/{campaignId}to retrieve exact progress code names. Update regex mapping to return identical strings. Enable case-insensitive matching if campaign codes contain mixed casing. - Code Fix: Add validation before API call:
if (!validProgressCodes.contains(progressCode)) {
log.warn("Invalid progress code {} for campaign {}. Defaulting to Unknown", progressCode, campaignId);
progressCode = "Unknown";
}