Every team should see the alerts they need — not the firehose
Marketing-ops sees everything. Reviews-ops sees only reviews and Google Business. SEO-ops sees only rank and Google Business. Per location, per vertical, per banner — no firehose, no missed signal.
The problem
Your marketing stack emits alerts from every direction. Reviews flag a crisis at 8:14am. Mixpanel flags an abandoned-cart spike at 8:23. Klaviyo flags an email-flow drop at 8:31. Google Business flags a duplicate-photo issue at 8:45. Different teams need different signals. Your marketing-ops lead needs to see everything. Your reviews team only needs the reviews and GBP signals. Your SEO team only needs the rank and GBP signals. Your franchisees need only their own location. Confluent and Apache Kafka Cloud handle generic event distribution at $5,000+ a month plus engineering. Apache Pulsar, Redpanda, AWS EventBridge, AWS Kinesis, Google Pub/Sub, Azure Event Hubs, RabbitMQ, NATS, and Solace all move events but have no marketing-awareness. PagerDuty Event Intelligence, BigPanda, Opsgenie, and Splunk Observability ITSI are built for IT incidents, not marketing. Anodot, Avora, and MetricInsights bundle event subscription inside their own platforms. Building it in-house means a platform engineer plus a data engineer at $140,000 to $240,000 each, plus four to twelve weeks per integration, plus ongoing maintenance.
What success looks like
Every marketing alert from every source routes to the right subscribers — by team, by location, by vertical, by banner. Marketing-ops sees the consolidated stream. Reviews-ops sees only the reviews and GBP signals for the locations they manage. SEO-ops sees only the rank and GBP signals. Each franchisee sees only their own location. Each brand sees only their own brand. Compliance-sensitive signals get gated to the right reviewers. Multi-banner operators see subscription routing across banners with each banner's signals isolated. Every subscription event and every delivered signal is preserved with the agent, signal, recipient, and delivery status — so a vendor SLA review or audit can ask what happened with a specific signal and get a clean answer.
How most operators solve this today
Five categories touch this. None of them combine marketing-awareness with per-team, per-location, per-vertical routing.
Event streaming platforms (Confluent, Apache Kafka, Apache Pulsar, Redpanda, AWS EventBridge, AWS Kinesis, Google Pub/Sub, Azure Event Hubs, RabbitMQ, NATS, Solace)
$0.014 per record to $300,000+ per year
Generic event distribution. They move events. They do not understand which event belongs to which marketing surface or which team needs it.
IT incident management (PagerDuty Event Intelligence, BigPanda, Opsgenie, Splunk Observability ITSI, Rootly, Datadog Watchdog, New Relic AI, Moogsoft, DrDroid, FireHydrant)
$9 per user per month to $549 per user per month
Built for IT incidents. Not for the marketing-ops, reviews-ops, SEO-ops, and franchisee splits a multi-location operator needs.
Marketing analytics platforms (Anodot, Avora, MetricInsights, Pyramid Analytics, Glassbox)
$1,000 to $200,000+ per month
Subscription is locked inside the platform. Most operators have signals coming from outside the platform.
In-house event-streaming engineering
$140,000 to $240,000 per year per engineer, plus four to twelve weeks per integration
Custom plumbing per agent. Permanent maintenance.
Build it in-house
Slack channels and Zapier webhooks
Falls apart past five sources.
What changes when this is an agent skill
Every marketing alert from every source you connect routes to the right subscribers. Marketing-ops sees the consolidated stream of everything that matters. The reviews team sees only the reviews and Google Business signals for the locations they manage. The SEO team sees only the rank and GBP signals they need. Each franchisee sees only their own location. Each brand sees only their own brand. Compliance-sensitive signals — HIPAA, GDPR, California consumer-data — get gated to the right compliance reviewer. The subscription sits inside the rest of the alerting work, so deduplication, correlation, and false-positive suppression all apply before a signal reaches a subscriber. Multi-banner operators see subscription routing across banners with each banner's signals isolated. Every subscription event and every delivered signal is preserved with timestamp, agent, signal type, recipient, and delivery status — so when a vendor SLA review or audit asks about a specific signal, the answer is on file. Confluent, Pulsar, and AWS EventBridge remain useful as the underlying event-streaming layer. PagerDuty, BigPanda, and Opsgenie remain useful for IT incidents. Anodot and Avora remain useful inside their own platforms. This is the marketing-aware subscription layer that sits across them.
Agents that include this skill
Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.
Anomaly Detection + Alerting Agent
Cross-cutting consumer that subscribes to every agent stream + operator-side signal and surfaces correlated anomalies across the fleet.
FAQ
- What does subscription routing actually do?
- It decides which alerts go to which team and which person. Marketing-ops sees everything. Reviews team sees only review and GBP alerts. SEO team sees only rank and GBP. Each franchisee sees only their own location. Compliance-sensitive signals go to compliance reviewers.
- How is this different from Confluent or AWS EventBridge?
- Confluent and EventBridge move events. They are vendor-agnostic and have no idea which alert belongs to your reviews team versus your SEO team. This sits above them and adds the marketing-awareness.
- How is this different from PagerDuty Event Intelligence or BigPanda?
- Those are built for IT incidents. They route to on-call engineers, not to your marketing teams. They have no concept of franchisee-versus-corporate or reviews-versus-SEO.
- How is this different from Anodot or Avora subscription?
- Anodot and Avora work well inside their own platforms. Most multi-location operators have signals coming from outside any single platform.
- What dimensions does it route across?
- Per team (marketing-ops, reviews-ops, SEO-ops, integration-ops, compliance), per location, per vertical (HIPAA dental, FDA medical-device, GDPR EU, California consumer-data), per banner.
- What happens before a signal reaches a subscriber?
- Deduplication collapses repeats. Correlation links cascading issues to root causes. False-positive suppression filters known-normal patterns. By the time a signal reaches your reviewer, it has been cleaned up.
- How is this configured?
- Once. You set the subscription map for each team and each location. Changes apply going forward. The audit trail captures which rule applied to which signal.
- What does the audit trail look like?
- Every subscription event and every delivered signal is preserved with timestamp, agent, signal type, recipient, and delivery status. Searchable when a vendor SLA review or audit asks about a specific signal.