Markin + Amplitude
Behavioural signal in, hypotheses out.
Product analytics is very good at showing that something is wrong and silent about what to do next. Markin reads the same events and produces a ranked, sized queue of actions instead of a chart.
Read onlyAttribute write-back
What Markin reads
- Event streams and cohort definitions
- Funnel and retention curves
What Markin writes back
- Cohort membership reflecting Markin decisions, for your own analysis
How the connection works
| Pattern | What it means here |
|---|---|
| Read only | Markin reads signal from this system. Nothing is written back and no schema is changed. |
| Attribute write-back | Markin writes the decision onto the customer profile; your existing journeys read it as an entry condition. Latency is the platform's sync interval. |
Amplitude questions
- How does Markin connect to Amplitude?
- Read only, Attribute write-back. Markin reads signal from this system. Nothing is written back and no schema is changed.
- What does Markin read from Amplitude?
- Event streams and cohort definitions; Funnel and retention curves.
- What does Markin write back into Amplitude?
- Cohort membership reflecting Markin decisions, for your own analysis
- Do we have to move our data to Markin?
- No. Markin reads from your warehouse, product events and operational systems in place, on your compute, under the access rules your data team already set. Nothing is copied into a separate customer base and there is no vendor-side profile store to migrate off later.
- Does Markin replace our engagement platform or CDP?
- No, and it should not. Your engagement platform keeps the channel, the templates, the deliverability and the governance. Your CDP keeps identity and consent. Markin adds the layer neither has: deciding which action deserves to exist for each customer, and proving it against a holdout.
- What if the system we use is not listed?
- The four activation patterns cover almost everything: attribute write-back, triggered event, decision API and direct surface rendering. Any system that exposes an API, accepts a table, or can read a warehouse column can receive decisions. New connectors are built during deployment, typically in days.