Syntonyl Telemetry
Answers instead of raw data. An event pipeline and dashboards that show how your product is used, what converts, what breaks, and what your AI features cost.
Most teams collect plenty of data and still cannot answer basic questions. Which step of onboarding loses people? Did last month's change help? Why did the AI bill double? The problem is usually the absence of a deliberate event design, not a shortage of tools.
Syntonyl Telemetry starts with an event schema and pipeline designed around the questions you need answered. Funnels and cohorts quantify conversion and retention, attribution connects outcomes to campaigns, and experiment toggles measure the effect of changes so decisions are not guesswork.
For products with AI features, model usage is tracked alongside cost, so you can budget accurately and choose the right model for each task. Error and performance tracing shows where the product is slow or failing, dashboards answer common questions at a glance, and raw events can be exported to your warehouse for deeper analysis.
What’s included
- Event schema and pipeline design
- Funnels, cohorts, and retention analysis
- Attribution and campaign tracking
- Experiment toggles and measurement
- LLM usage and cost insights
- Product and operations dashboards
- Error and performance tracing
- Warehouse exports
A good fit when
- You ship product changes and cannot tell whether they worked.
- You run AI features and need to track usage and cost.
- Different teams quote different numbers for the same metric.
- You want raw data available in your own warehouse.
How we deliver it
Questions first
We list the decisions you want data to support and design events backwards from them.
Instrument
Events are added to the product with consistent naming, properties, and privacy-conscious defaults.
Build the views
Dashboards, funnels, and alerts are configured around the agreed questions.
Hand off and refine
We document the schema and train your team to add events without breaking reporting.
Syntonyl Telemetry by industry
Audience and campaign analytics for media
Consistent event tracking, funnels, and attribution so publishers and agencies can see which content and campaigns actually drive results.
See the industry fit →Data & AnalyticsProduct and customer event data
Design and implement event tracking that produces clean, consistent behavioral data for analysis, experiments, and AI.
See the industry fit →Retail & E-commerceRetail analytics and telemetry
Measure what sells, which campaigns convert, and where shoppers drop off with event tracking, funnels, and attribution built for retailers.
See the industry fit →Frequently asked questions
Do you replace our analytics tool?
Not necessarily. We design the event layer and connect it to the tools and warehouse that fit your stack.
Can you track what our AI features cost?
Yes. LLM usage and cost are tracked per feature, so you can budget and compare models.
How do you handle privacy?
We collect only the events needed for agreed questions and avoid sending sensitive personal data to analytics systems.
Related
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A production SaaS foundation with multi-tenant isolation, billing, roles, admin, analytics, APIs, and an AI agent scaffold, so you build the product, not the plumbing.
Read more →DATAData & Database Engineering
Schemas, migrations, historical imports, validation, reporting pipelines, and performance work, so your data stays an asset as the business grows.
Read more →AISyntonyl Agents
A governed agent runtime with a tool registry, memory, guardrails, human approval, evaluations, and cost and latency budgets for AI that does real work.
Read more →Bring the goal. We’ll shape the technical path.
Tell us what needs to work better. We reply within one business day with a clear next step.