Executing Genesys Cloud Predictive Engagement Campaigns via API with Java

What You Will Build

• A Java application that constructs and dispatches predictive outbound campaigns using target segments, contact filters, and dynamic offer directives.
• The solution uses the official Genesys Cloud CX Java SDK and REST endpoints for campaign lifecycle management, compliance validation, and analytics synchronization.
• The implementation covers OAuth authentication, schema validation, asynchronous dispatch with throttling, real-time performance monitoring, propensity-based offer selection, metric exports, audit logging, and a reusable campaign executor class.

Prerequisites

• Genesys Cloud CX OAuth Client Credentials application with scopes: campaign:write, outbound:write, analytics:read, engagement:write, auditlogs:read
• Genesys Cloud Java SDK version 2.x (com.genesiscloud.sdk:genesys-cloud-sdk)
• Java 17 or later with java.net.http.HttpClient and Jackson 2.15+
• Maven or Gradle build system
• Access to a Genesys Cloud organization with Outbound/Predictive Engagement enabled

Authentication Setup

The Client Credentials flow exchanges an API key and secret for an access token. Tokens expire after one hour. Production systems must cache tokens and refresh before expiration.

import com.genesiscloud.sdk.api.auth.AuthClient;
import com.genesiscloud.sdk.api.auth.OAuthClient;
import com.genesiscloud.sdk.model.OAuthClientCredentials;
import com.genesiscloud.sdk.model.OAuthTokenResponse;
import java.net.URI;
import java.util.concurrent.TimeUnit;

public class GenesysAuthManager {
    private static final String TOKEN_URL = "https://api.mypurecloud.com/oauth/token";
    private static final String API_KEY = "YOUR_API_KEY";
    private static final String API_SECRET = "YOUR_API_SECRET";
    private static final String SCOPE = "campaign:write outbound:write analytics:read engagement:write auditlogs:read";

    private OAuthTokenResponse cachedToken;
    private long tokenExpiryEpoch;

    public String getAccessToken() throws Exception {
        if (cachedToken != null && System.currentTimeMillis() < tokenExpiryEpoch) {
            return cachedToken.getAccessToken();
        }
        OAuthClientCredentials credentials = new OAuthClientCredentials();
        credentials.setClientSecret(API_SECRET);
        credentials.setGrantType("client_credentials");
        credentials.setScope(SCOPE);

        OAuthClient oauthClient = new OAuthClient();
        oauthClient.setAuthUrl(URI.create(TOKEN_URL));
        cachedToken = oauthClient.clientCredentialsGrant(API_KEY, credentials);
        tokenExpiryEpoch = System.currentTimeMillis() + (cachedToken.getExpiresIn() - 60) * 1000L;
        return cachedToken.getAccessToken();
    }
}

Implementation

Step 1: Construct Campaign Execution Payloads with Segment and Offer Directives

Campaign payloads require a contact list, rule set, offer configuration, and predictive dialing parameters. The Genesys Cloud API expects structured JSON conforming to Campaign schemas. Offer selection directives are passed via the offerId field and custom attributes.

import com.genesiscloud.sdk.api.outbound.CampaignApi;
import com.genesiscloud.sdk.model.Campaign;
import com.genesiscloud.sdk.model.CampaignContactList;
import com.genesiscloud.sdk.model.CampaignRuleSet;
import com.genesiscloud.sdk.model.CampaignOffer;
import com.genesiscloud.sdk.model.CampaignPredictive;
import com.genesiscloud.sdk.model.CampaignWrapUpCode;

public class CampaignPayloadBuilder {
    public Campaign buildPredictiveCampaign(String segmentId, String ruleSetId, String offerId, int maxDailyContacts) {
        Campaign campaign = new Campaign();
        campaign.setName("Predictive Outreach Campaign");
        campaign.setDescription("API-driven predictive engagement with dynamic offers");
        campaign.setStatus("paused");
        campaign.setContactList(new CampaignContactList().id(segmentId));
        campaign.setRuleSet(new CampaignRuleSet().id(ruleSetId));
        
        // Offer selection directive
        campaign.setOffer(new CampaignOffer().id(offerId));
        
        // Predictive dialing configuration
        CampaignPredictive predictive = new CampaignPredictive();
        predictive.setStrategy("predictive");
        predictive.setTargetAnswerRate(0.85);
        predictive.setAgentStickiness(15);
        predictive.setWrapUpCode(new CampaignWrapUpCode().id("default-wrapup"));
        campaign.setPredictive(predictive);
        
        // Compliance and throttling constraints
        campaign.setDailyContactLimit(maxDailyContacts);
        campaign.setCallRate(10); // Calls per minute per agent
        return campaign;
    }
}

Endpoint: POST /api/v2/outbound/campaigns
Required Scope: campaign:write
Response Structure: Returns the created campaign object with a unique id and initial status: paused.

Step 2: Validate Execution Schemas Against Compliance and Suppression Rules

Regulatory compliance requires checking DNC lists, contact attributes, and daily limits before dispatch. The Outbound API provides DNC and contact validation endpoints. We validate the segment against suppression lists and enforce daily contact caps.

import com.genesiscloud.sdk.api.outbound.OutboundApi;
import com.genesiscloud.sdk.model.DncListEntryQueryResponse;
import com.genesiscloud.sdk.model.ContactListResponse;
import java.util.List;

public class ComplianceValidator {
    private final OutboundApi outboundApi;
    private static final int MAX_DAILY_CONTACTS = 500;

    public ComplianceValidator(OutboundApi outboundApi) {
        this.outboundApi = outboundApi;
    }

    public void validateSegmentAndLimits(String segmentId, String dncListId) throws Exception {
        // Verify contact list exists and retrieve record count
        ContactListResponse contactList = outboundApi.postOutboundContactlistsQuery(segmentId);
        long totalContacts = contactList.getTotal();
        
        if (totalContacts > MAX_DAILY_CONTACTS) {
            throw new IllegalArgumentException("Segment exceeds daily contact limit. Max: " + MAX_DAILY_CONTACTS);
        }

        // Query DNC list for suppression overlap
        DncListEntryQueryResponse dncResponse = outboundApi.postOutboundDnclistentriesQuery(dncListId);
        List<String> suppressedNumbers = dncResponse.getEntries().stream()
                .map(e -> e.getPhoneNumber())
                .toList();
        
        if (!suppressedNumbers.isEmpty()) {
            System.out.println("Warning: " + suppressedNumbers.size() + " contacts overlap with DNC list. Filter applied automatically by platform.");
        }

        // Schema validation is handled by the SDK, but we enforce business rules here
        System.out.println("Compliance validation passed. Segment: " + segmentId + ", Records: " + totalContacts);
    }
}

Endpoint: POST /api/v2/outbound/contactlists/query, POST /api/v2/outbound/dnclistentries/query
Required Scope: outbound:write
Error Handling: Throws IllegalArgumentException if daily limits are breached. The platform automatically filters DNC overlaps, but explicit validation prevents accidental dispatch.

Step 3: Dispatch Campaigns with Async Polling, Throttling, and Performance Hooks

Campaigns dispatch asynchronously. We implement exponential backoff retry logic for rate limits, poll campaign status, and pause the campaign when real-time metrics breach conversion thresholds.

import com.genesiscloud.sdk.api.outbound.CampaignApi;
import com.genesiscloud.sdk.model.Campaign;
import com.genesiscloud.sdk.model.AnalyticsOutboundDetailsQuery;
import com.genesiscloud.sdk.model.AnalyticsOutboundDetailsResponse;
import java.time.Duration;
import java.util.concurrent.TimeUnit;

public class CampaignDispatcher {
    private final CampaignApi campaignApi;
    private final AnalyticsApi analyticsApi;

    public CampaignDispatcher(CampaignApi campaignApi, AnalyticsApi analyticsApi) {
        this.campaignApi = campaignApi;
        this.analyticsApi = analyticsApi;
    }

    public String dispatchCampaign(Campaign campaign) throws Exception {
        Campaign created = campaignApi.postOutboundCampaigns(campaign);
        System.out.println("Campaign created: " + created.getId() + " Status: " + created.getStatus());
        return created.getId();
    }

    public void monitorAndThrottle(String campaignId, double maxFailureRate) throws Exception {
        int consecutiveRateLimitRetries = 0;
        while (true) {
            try {
                Campaign current = campaignApi.getOutboundCampaign(campaignId);
                if ("completed".equals(current.getStatus()) || "failed".equals(current.getStatus())) {
                    break;
                }

                // Query real-time outbound analytics
                AnalyticsOutboundDetailsQuery query = new AnalyticsOutboundDetailsQuery();
                query.setStartDate(java.time.Instant.now().minus(Duration.ofMinutes(5)).toString());
                query.setEndDate(java.time.Instant.now().toString());
                query.setGroupBy(List.of("status"));
                
                AnalyticsOutboundDetailsResponse metrics = analyticsApi.postAnalyticsOutboundDetailsQuery(query);
                double failureRate = calculateFailureRate(metrics);
                
                if (failureRate > maxFailureRate) {
                    System.out.println("High failure rate detected: " + failureRate + ". Pausing campaign.");
                    Campaign pauseCmd = new Campaign().status("paused");
                    campaignApi.putOutboundCampaign(campaignId, pauseCmd);
                    Thread.sleep(300000); // Cooldown period
                }
                
                Thread.sleep(30000); // Poll interval
                consecutiveRateLimitRetries = 0;
            } catch (com.genesiscloud.sdk.exception.ApiException e) {
                if (e.getCode() == 429) {
                    long backoff = Math.min(60000, 1000 * Math.pow(2, consecutiveRateLimitRetries));
                    System.out.println("Rate limited. Retrying in " + backoff + "ms");
                    Thread.sleep(backoff);
                    consecutiveRateLimitRetries++;
                } else {
                    throw e;
                }
            }
        }
    }

    private double calculateFailureRate(AnalyticsOutboundDetailsResponse metrics) {
        long total = metrics.getGroups().stream().mapToLong(g -> g.getCount()).sum();
        if (total == 0) return 0.0;
        long failures = metrics.getGroups().stream()
                .filter(g -> "no-answer".equals(g.getGroupName()) || "busy".equals(g.getGroupName()))
                .mapToLong(g -> g.getCount()).sum();
        return (double) failures / total;
    }
}

Endpoint: POST /api/v2/outbound/campaigns, PUT /api/v2/outbound/campaigns/{id}, POST /api/v2/analytics/outbound/details/query
Required Scope: campaign:write, analytics:read
Throttling Strategy: Exponential backoff caps at 60 seconds. Automatic pause triggers when failure rate exceeds the threshold. Pagination is handled by the SDK’s query response object.

Step 4: Synchronize Metrics and Generate Audit Logs

We export campaign progress to an external marketing automation platform and generate compliance audit logs. The Java HttpClient handles external POST requests, while local audit records are structured for regulatory verification.

import com.fasterxml.jackson.databind.ObjectMapper;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Instant;
import java.util.Map;

public class MetricsAndAuditSync {
    private final HttpClient httpClient = HttpClient.newHttpClient();
    private final ObjectMapper mapper = new ObjectMapper();
    private final String externalEndpoint = "https://marketing-platform.example.com/api/v1/sync/genesys-campaigns";

    public void syncMetrics(String campaignId, Map<String, Object> metrics) throws Exception {
        String jsonPayload = mapper.writeValueAsString(Map.of(
                "campaignId", campaignId,
                "timestamp", Instant.now().toString(),
                "metrics", metrics,
                "source", "genesys-cloud-api"
        ));

        HttpRequest request = HttpRequest.newBuilder()
                .uri(java.net.URI.create(externalEndpoint))
                .header("Content-Type", "application/json")
                .header("Authorization", "Bearer EXTERNAL_API_KEY")
                .POST(HttpRequest.BodyPublishers.ofString(jsonPayload))
                .build();

        HttpResponse<String> response = httpClient.send(request, HttpResponse.BodyHandlers.ofString());
        if (response.statusCode() >= 400) {
            throw new RuntimeException("Metrics sync failed: " + response.statusCode() + " " + response.body());
        }
    }

    public void generateAuditLog(String campaignId, String action, String operator, Map<String, Object> context) throws Exception {
        String auditJson = mapper.writeValueAsString(Map.of(
                "auditId", java.util.UUID.randomUUID().toString(),
                "campaignId", campaignId,
                "action", action,
                "operator", operator,
                "timestamp", Instant.now().toString(),
                "context", context,
                "complianceCheck", true
        ));

        // Store locally or push to compliance system
        System.out.println("AUDIT LOG: " + auditJson);
    }
}

Endpoint: External sync endpoint (custom), internal audit generation (local/DB)
Required Scope: auditlogs:read (for platform-side verification)
Error Handling: Throws RuntimeException on HTTP 4xx/5xx responses. Audit logs are immutable and timestamped for regulatory compliance.

Complete Working Example

The following class orchestrates authentication, payload construction, compliance validation, dispatch, monitoring, metrics synchronization, and audit logging. Replace placeholder credentials before execution.

import com.genesiscloud.sdk.api.auth.AuthClient;
import com.genesiscloud.sdk.api.outbound.CampaignApi;
import com.genesiscloud.sdk.api.outbound.OutboundApi;
import com.genesiscloud.sdk.api.analytics.AnalyticsApi;
import com.genesiscloud.sdk.model.Campaign;
import java.util.Map;

public class PredictiveCampaignExecutor {
    public static void main(String[] args) {
        try {
            // 1. Initialize SDK
            AuthClient authClient = new AuthClient();
            authClient.setAuthUrl("https://api.mypurecloud.com/oauth/token");
            authClient.loginWithApiKey("YOUR_API_KEY", "YOUR_API_SECRET");
            
            CampaignApi campaignApi = new CampaignApi();
            OutboundApi outboundApi = new OutboundApi();
            AnalyticsApi analyticsApi = new AnalyticsApi();
            
            // 2. Build Payload
            CampaignPayloadBuilder builder = new CampaignPayloadBuilder();
            Campaign campaign = builder.buildPredictiveCampaign("segment-id-123", "ruleset-id-456", "offer-id-789", 400);
            
            // 3. Validate Compliance
            ComplianceValidator validator = new ComplianceValidator(outboundApi);
            validator.validateSegmentAndLimits("segment-id-123", "dnc-list-id-000");
            
            // 4. Dispatch
            CampaignDispatcher dispatcher = new CampaignDispatcher(campaignApi, analyticsApi);
            String campaignId = dispatcher.dispatchCampaign(campaign);
            
            // 5. Resume Campaign
            Campaign resumeCmd = new Campaign().status("running");
            campaignApi.putOutboundCampaign(campaignId, resumeCmd);
            
            // 6. Monitor with Throttling and Pause Hooks
            Thread monitorThread = new Thread(() -> {
                try {
                    dispatcher.monitorAndThrottle(campaignId, 0.35);
                } catch (Exception e) {
                    e.printStackTrace();
                }
            });
            monitorThread.start();
            
            // 7. Sync Metrics & Audit
            MetricsAndAuditSync sync = new MetricsAndAuditSync();
            sync.generateAuditLog(campaignId, "CAMPAIGN_DISPATCHED", "system-api", Map.of("maxDailyLimit", 400));
            
            // Wait for monitoring to complete
            monitorThread.join();
            
            sync.syncMetrics(campaignId, Map.of(
                    "status", "completed",
                    "totalContacts", 400,
                    "conversionRate", 0.12
            ));
            
            sync.generateAuditLog(campaignId, "CAMPAIGN_COMPLETED", "system-api", Map.of("finalStatus", "completed"));
            
        } catch (Exception e) {
            System.err.println("Campaign execution failed: " + e.getMessage());
            e.printStackTrace();
        }
    }
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Expired access token or incorrect API key/secret.
• Fix: Refresh the token using the GenesysAuthManager pattern. Ensure the OAuth client has the campaign:write and analytics:read scopes assigned in the Genesys Cloud admin console.
• Code Fix: Implement token caching with a 60-second buffer before expiration as shown in the Authentication Setup section.

Error: 403 Forbidden

• Cause: Missing required OAuth scopes or insufficient user permissions on the Outbound/Campaign resource.
• Fix: Verify the API key is attached to a user with Campaign Manager and Outbound Administrator roles. Add missing scopes to the client_credentials grant request.

Error: 429 Too Many Requests

• Cause: Exceeding Genesys Cloud API rate limits during polling or bulk validation.
• Fix: Implement exponential backoff with jitter. The CampaignDispatcher.monitorAndThrottle method demonstrates this pattern. Reduce polling frequency to 30 seconds minimum for analytics endpoints.

Error: 400 Bad Request (Schema Validation)

• Cause: Mismatched segment IDs, invalid offer references, or missing required campaign fields.
• Fix: Validate all IDs against existing resources before payload construction. Use outboundApi.getOutboundContactlist(segmentId) to verify existence. Ensure predictiveStrategy is set to predictive when using predictive dialing parameters.

Official References

• Genesys Cloud Outbound Campaigns API Documentation
• Genesys Cloud Java SDK Reference
• OAuth 2.0 Client Credentials Flow
• Analytics Outbound Details Query API
• Compliance and DNC Management API