When a new feature launches or a marketing campaign goes live, the first question product and marketing teams ask is often: “Is it working?” Monitoring is the answer. Well-configured monitoring checks catch outages, performance regressions, data problems, and broken user journeys before they cost revenue or reputation.
This post walks through the 10 essential monitoring checks every product or marketing team should set up first, why each matters, how to approach thresholds and alerts, and practical tips to avoid alert fatigue. Whether you’re building product telemetry from scratch or auditing an existing stack, these checks form a pragmatic baseline that protects user experience and business KPIs.
Why monitoring matters for product and marketing teams
Protect revenue and user experience
Product outages, slow pages, and broken checkout flows directly impact conversions and retention. Monitoring gives teams early warning so they can fix issues before users abandon the site or campaign.
Validate experiments and campaigns
Marketing campaigns and product experiments depend on accurate data and consistent user journeys. Monitoring ensures tracking is firing correctly and that campaign landing pages perform under load.
Enable data-driven incident response
Good checks reduce time-to-detection and provide context for incidents. That leads to faster remediation and clearer post-mortems—critical for continuous improvement.
10 monitoring checks to set up first
1. Uptime and availability (site and APIs)
Monitor whether your website and key APIs are reachable from multiple locations. Uptime checks detect full outages and regional failures.
- How to set up: Schedule HTTP(S) checks hitting your root URL, health endpoints, and core APIs from multiple geographic regions.
- Alert guidance: Alert on consecutive failures from multiple locations or high error rates (example threshold: 3 failed checks in 5 minutes).
2. Page load performance and Core Web Vitals
Page speed impacts conversions and SEO. Track metrics like Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS).
- How to set up: Use real user monitoring (RUM) and synthetic tests for representative pages (landing page, product page, checkout).
- Alert guidance: Alert on sustained degradations vs. transient spikes (e.g., median LCP increases by X% over baseline for 30 minutes).
3. Synthetic user journeys (checkout, signup, lead form)
Simulate critical user flows end-to-end to catch functional regressions: signup, add-to-cart, checkout, and form submissions.
- How to set up: Create scripted synthetic tests that fill forms, click through flows, and validate success responses or confirmation pages.
- Alert guidance: Failures in critical flows should trigger immediate alerts with screenshots and timestamps.
4. API latency and error rate
APIs are the backbone of product experiences. Track p95/p99 latency and error rates per endpoint to detect performance issues and cascading failures.
- How to set up: Instrument services to emit latency histograms and error counters. Monitor top endpoints and third-party integrations.
- Alert guidance: Use relative thresholds (e.g., latency > 2x baseline, or error rate spike > 5% absolute increase).
5. Error and exception tracking (application logs)
Capture uncaught exceptions and high-frequency errors to prevent noisy crashes and poor UX. Group similar errors to prioritize fixes.
- How to set up: Integrate an error tracking tool that aggregates stack traces and tags errors by release, host, and user impact.
- Alert guidance: Alert on new error groups, regression of previously resolved errors, or high-volume error spikes.
6. Conversion funnel and KPI anomaly detection
Monitor funnel conversion rates (landing → product → checkout) and key marketing KPIs (CTR, CPA, lead form completion). Detect unexpected drops or spikes.
- How to set up: Instrument events in analytics (server and client) and add anomaly detection on daily/weekly baselines.
- Alert guidance: Configure alerts for statistically significant deviations versus historical trends, not every small fluctuation.
7. Tracking and analytics integrity (tagging, data pipelines)
If analytics events are missing or duplicated, decisions based on that data will be wrong. Monitor event volume, schema conformity, and ingestion success.
- How to set up: Add monitors for expected event counts, schema validation, and downstream pipeline health.
- Alert guidance: Alert on sudden drops in event volume, schema errors, or pipeline backpressure.
8. SSL/TLS certificate and DNS checks
Expired certificates or DNS misconfigurations cause immediate site inaccessibility. Automated checks avoid these preventable outages.
- How to set up: Monitor certificate expiry and DNS resolution from multiple locations.
- Alert guidance: Notify teams 30/14/7 days before certificate expiry and on any unexpected DNS changes.
9. Third-party dependency monitoring
Payment gateways, CDNs, authentication providers, and ad networks can affect your product or campaign. Track their availability and error rates.
- How to set up: Monitor third-party endpoints your product relies on and instrument fallbacks for degraded behavior.
- Alert guidance: Alert on degraded performance or increased error rates impacting critical flows.
10. Infrastructure and resource utilization
Monitor CPU, memory, disk I/O, and queue lengths for services. Resource saturation often precedes failures and latency spikes.
- How to set up: Collect host and container metrics and set thresholds for capacity planning and autoscaling triggers.
- Alert guidance: Alert on sustained high utilization (e.g., CPU > 80% for 10+ minutes) or growing backlog metrics.
How to prioritize these checks
Not every team can instrument everything at once. Prioritize by business impact and user experience:
- Start with availability and the top user journeys (signup/checkout).
- Add performance and error tracking once availability checks are stable.
- Layer in analytics integrity and third-party monitoring to protect decision-making and revenue.
Best practices for alerting and maintenance
- Aim for signal over noise: Use aggregation and burn-in periods to avoid alerting on transient blips.
- Define ownership: Each check should map to an on-call owner and a documented runbook for triage.
- Use escalation policies: Automate escalation paths so critical issues reach the right people quickly.
- Test your alerts: Run drill incidents to ensure alerts contain enough context to act on.
- Review and retire checks: Periodically audit monitors to remove redundant or obsolete checks.
Tip: Start simple—one critical synthetic check, basic uptime, and error tracking—and iterate. Early wins build trust in monitoring across teams.
Common pitfalls to avoid
- Alert fatigue from low-signal thresholds or duplicate alerts.
- Monitoring only at the infrastructure layer and ignoring user-facing experiences.
- Failing to monitor analytics and data pipelines, leading to blind spots in measurement.
- No ownership or runbooks, which slows triage and resolution.
Conclusion
Setting up these 10 monitoring checks creates a strong foundation for product reliability, campaign performance, and data integrity. Start with the highest-impact checks for your business and evolve the coverage as your product and marketing needs grow. Good monitoring reduces downtime, improves conversion, and gives teams confidence to iterate faster.
Our monitoring platform is designed to make these checks straightforward to configure and maintain, with integrations for synthetic testing, error tracking, and analytics validation—so your team can focus on delivering value instead of firefighting.
Ready to get started? Sign up for free today and build the monitoring baseline that protects your users and your business.