Chapter 4
Structured evaluation framework comparing Courier against Braze, Iterable, Customer.io, Knock, and Novu. Covers why marketing platforms struggle with product-led journeys, the infrastructure layer advantage, ROI calculation frameworks, and migration strategies. Includes customer stories from Lattice, Twilio, LaunchDarkly, and Side.

The platform choice isn't build vs. buy. It's whether you adopt marketing automation treating developers as afterthoughts, developer tools leaving business users dependent on engineering, or infrastructure serving cross-functional teams equally.
Most teams already recognize that building custom marketing automation makes no more sense than building custom payment processing. The actual choice shapes how your organization ships features, who controls communication strategy, and whether cross-functional collaboration accelerates or creates friction.
Marketing automation with transactional capabilities positions campaigns as primary with product notifications secondary. These platforms excel at email marketing, audience segmentation, A/B testing, and analytics. They struggle with real-time product event processing and multi-channel orchestration beyond email.
Developer infrastructure with limited UI positions APIs and code as primary with visual tools as afterthoughts. These platforms provide comprehensive APIs, CLI workflows, and version control integration. They create friction for product managers who can't visualize workflows and marketers who can't update messaging without code deployments.
Cross-functional infrastructure serves engineers, product managers, and marketers as equal stakeholders through purpose-built interfaces for each persona.
Marketing automation platforms built their architecture around campaign orchestration. Product-led growth companies need something different: real-time behavioral triggers, complex conditional logic, and multi-channel orchestration including workplace communication and in-app messages.
Marketing platforms typically sync data overnight or hourly through batch processes. By the time product usage events arrive, the moment has passed. The user who needed onboarding help already churned.
Marketing campaigns generate manageable event volumes. Product event streams generate orders of magnitude more data. Platforms architected for campaign volumes hit rate limits or latency issues when consuming product telemetry at scale.
Marketing platforms optimize for "send this email three days after signup" sequences. Product-led journeys need "send this when the user activates three features but hasn't invited team members" logic.
Braze and Iterable charge $60,000-$200,000+ annually for plans including advanced segmentation, multi-channel beyond email, and API access. Customer.io positions at $20,000-$60,000 for mid-market but scales with volume.
Engineering-owned notification systems benefit from treating notifications as code. Transactional emails, alerts, and automated workflows triggered by product events work smoothly. Infrastructure qualities like reliability, performance, and debuggability receive priority.
Updating email copy requires creating branches, editing template files, committing changes, opening pull requests, waiting for code review, merging, and deploying. Marketing teams wanting to launch feature announcements need developer availability.
Highly technical organizations with engineer-led product development and limited marketing resources operate efficiently with developer platforms. Small teams where everyone understands code avoid coordination costs of visual tools.
Modern B2B SaaS companies organize around product-led growth with cross-functional pods. Each pod includes engineers building features, product managers defining requirements, and growth marketers optimizing conversion.
Engineers need APIs for programmatic control. Product managers need visual journey builders. Growth marketers need integrated template editors. One platform with unified interfaces eliminates context switching.
Courier's architecture reflects this:

Traditional approaches separate transactional notifications (engineering-owned, API-based) from lifecycle campaigns (marketing-owned, dashboard-based). Maintaining two systems doubles operational overhead. Debugging requires checking both platforms. Analytics fragment. User preferences aren't respected consistently.
Customer data platforms changed what's possible by unifying behavioral data from all touchpoints. Notification infrastructure that integrates natively with CDPs inherits this unified view without custom integration work.
Configure Courier as a Segment destination with your API key. Track events, identify events, and group events flow automatically. Journey triggers listen for events. Profile data populates for personalization.
Courier sends engagement events back to Segment. Analytics tools see notification engagement alongside product usage. Data warehouses include notification metrics in customer analytics.
When users activate features, product code calls analytics.track('feature_activated'). Segment forwards to Courier within seconds. Journeys trigger immediately while context is fresh.
For teams preferring open-source CDPs, the RudderStack integration mirrors Segment functionality.
| Capability | Courier | Braze | Iterable | Customer.io | Knock | Novu |
|---|---|---|---|---|---|---|
| Event Triggers | Real-time Segment/API | Batch sync | Batch sync | Near real-time | Real-time API | Real-time API |
| Visual Designer | Journeys (drag-and-drop) | Canvas | Journey builder | Visual workflows | Yes | Limited |
| Channels | Email, SMS, push, in-app, Slack, Teams, WhatsApp, Discord, webhooks | Email, SMS, push, in-app, WhatsApp | Email, SMS, push, in-app, web push | Email, SMS, push, in-app | Email, SMS, push, in-app, Slack, Teams, WhatsApp, Discord | Email, SMS, push, in-app, Slack, Teams |
| Provider Integrations | 50+ | Built-in sending | Built-in sending | Built-in sending | ~20 | ~15-20 |
| CDP Integration | Segment, RudderStack native | mParticle, Segment | Segment | Segment, RudderStack | Segment | Limited |
| Developer APIs | REST + 7 SDKs | REST API | REST API | REST API | Comprehensive | Open source |
| Throttle/Frequency | Native throttle nodes | Yes | Yes | Yes | Limited | No |
| Preference Mgmt | Hosted + API | Yes (advanced) | Yes | Yes | API only | API only |
| Analytics | Journey + channel + template | Advanced | Advanced | Good | Basic logs | Basic |
| Pricing Model | Per send* | Enterprise | Enterprise | Mid-market | Per channel | Open source |
*Courier charges per send, not per channel. A message delivered across email, SMS, push, and Slack counts as one send. Competitors typically charge per channel, so the same message would be four charges.
Treating notifications as infrastructure rather than marketing campaigns changes platform requirements. Infrastructure needs to be reliable, observable, and programmable. Campaigns need to be targetable, testable, and analyzable.
Stripe abstracted away payment complexity behind simple APIs. Courier abstracts notification complexity: channel-specific APIs, authentication management, template rendering, delivery tracking, preference enforcement.
Applications don't call SendGrid, Twilio, Firebase, Slack APIs directly. Call Courier's API specifying routing preferences. Courier handles provider selection, authentication, payload formatting, delivery tracking. Switch from SendGrid to Postmark by updating configuration rather than changing code.
This matters because marketing automation platforms (Braze, Iterable, Customer.io) use built-in sending infrastructure. You're locked into their delivery systems. Developer platforms like Knock support ~20 providers. Courier's 50+ provider integrations give you the most flexibility to choose best-in-class providers for each channel and swap them as needs change.

Courier integrates with 50+ providers across email, SMS, push, in-app, collaboration tools (Slack, Teams), and chat platforms (WhatsApp, Discord). Add new channels by enabling a provider rather than integrating new APIs.
Lattice chose Courier for multi-tenant support. Each customer company configures their own notification policies. The integrated template editing lets their product team iterate on messaging independently of engineering.
Twilio demonstrates the architectural approach: Twilio excels at reliable message delivery through dozens of channels globally. Courier excels at intelligent orchestration of multi-step workflows with conditional logic and cross-channel coordination.

LaunchDarkly chose Courier because their engineering-led organization values API-first design, but their growth team needed visual tools for iterating on trial messaging.
Side chose Courier for omnichannel orchestration. Agents receive Slack notifications, clients receive SMS for time-sensitive updates, coordinators receive batched email digests.
Quantifying return on investment requires modeling both revenue impact and cost avoidance specific to your business.
Calculate potential impact with this framework:
(Monthly trials) × (Conversion lift %) × (ACV) × 12 = Additional ARR
Behavior-driven journeys improve conversion by responding to what users actually do rather than following generic time-based sequences. The lift varies by product and implementation quality. Even modest improvements compound significantly at scale.
Early warning journeys that identify engagement drops and trigger intervention can prevent churn. Model the value:
(Customers saved from churn per month) × (Customer LTV) × 12 = Annual value
Better-timed feature education delivered when users encounter use cases (rather than generic announcements) increases adoption of advanced capabilities. Higher feature adoption correlates with retention.
Compare platform costs to building and maintaining custom notification infrastructure. Building production-quality notification infrastructure with journey orchestration, conditional logic, multi-channel support, preference management, and analytics requires significant engineering investment. Platform costs provide clear cost avoidance before calculating revenue impacts from better orchestration.
Journey orchestration monitoring seat utilization, feature usage, and team growth triggers expansion conversations at optimal moments. Model:
(Expansion opportunities identified) × (Conversion rate) × (Average expansion value) × 12 = Annual expansion revenue
Move from existing systems incrementally:
Before migration, measure: trial conversion rates, feature adoption, engagement metrics, churn rates, support volume.
After migration, track: journey completion rates, drop-off points, engagement with each message, delivery success rates.
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