Metric Definition
Automated flow conversion
Track from
Event-triggered flow performance
Event-triggered flow performance measures how effectively an automated message flow turns a triggering event into the outcome it was built to drive. It captures the whole journey from trigger to conversion, not just whether a message was sent. It tells you whether your automations are earning their place or quietly leaking value.
8 min read
What is event-triggered flow performance?
Event-triggered flow performance is the rate at which people who enter an automated flow go on to complete the outcome the flow was designed to drive. A triggering event, such as an abandoned basket, a sign-up, or a trial expiry, starts the flow, a sequence of messages runs, and a share of entrants convert. If 1,000 people enter an abandoned-basket flow and 130 complete a purchase, the flow performance is 13%.
The metric matters because event-triggered flows are usually the highest-intent automation a business runs. The trigger fires at a moment of genuine signal, so the flow has a real chance to influence behaviour. A flow that converts well is compounding value automatically. A flow that converts poorly is sending messages, consuming send reputation, and producing very little, often without anyone noticing because it still looks busy.
Flow performance is more than open rate or click rate. Those are intermediate steps. Performance is the end-to-end conversion from the moment the event triggered entry to the moment the desired outcome happened. A flow can have strong opens and weak performance if the message persuades people to look but never to act.
Measure outcomes, not sends
Event-triggered flow performance should be tied to the outcome the flow exists to drive, such as a completed purchase or an activated account, not to message-level metrics like delivered or opened. A flow can show healthy sends and opens while converting almost nobody. Anchor the denominator on entries and the numerator on the real outcome, attributed within a defined window.
How to calculate event-triggered flow performance
Flow performance is the number of conversions attributed to the flow divided by the number of people who entered it after the triggering event, expressed as a percentage. The care is in the attribution window and the entry definition, not the arithmetic.
For example, if a trial-expiry flow has 2,500 entrants in a month and 425 of them upgrade within the seven-day attribution window, performance is 17%. Hold the attribution window steady whenever you compare flows or periods, because a longer window mechanically lifts the number without the flow improving.
- 1
Define the triggering event and entry
State the exact event that admits someone into the flow and any conditions that exclude them, so entry counts are consistent over time.
- 2
Define the target outcome
Choose the single outcome the flow exists to drive, such as a purchase or an upgrade, and the event that records it.
- 3
Set an attribution window
Decide how long after entry an outcome still counts as flow-driven, and apply the same window to every comparison.
- 4
Divide conversions by entries
Count conversions within the window, divide by entries, multiply by 100, then segment by flow, audience, and entry reason to see what is really working.
Event-triggered flow performance in a metric tree
Flow performance is a chain, and a chain is only as strong as its weakest link. A metric tree decomposes the headline conversion into the sequential stages every entrant passes through, so a weak flow points to a specific stage rather than to the flow as a whole.
The first branch is reach: whether the message is delivered and seen at all, which depends on send reputation and timing relative to the trigger. The second is engagement: whether the content earns an open and a click. The third is the conversion step: whether the landing experience and offer turn that click into the outcome. The fourth is targeting quality: whether the right people entered the flow in the first place, since a precise trigger converts far better than a broad one.
Metric tree insight
A 4 point drop in flow performance is usually one branch, not the whole flow. KPI Tree lets you connect each branch to the team that owns it, deliverability with lifecycle marketing, the landing experience with the web team, so the engagement branch and the conversion branch do not get confused. When the headline rate moves, the accountable owner for the branch that caused it is the one notified, and the verified impact loop checks whether their change actually recovered the number.
Event-triggered flow performance benchmarks
Benchmarks vary widely by flow type, because the strength of the triggering intent differs. An abandoned-basket trigger fires on someone already mid-purchase, so it converts far harder than a top-of-funnel welcome. Judge each flow against peers of the same type, using the ranges below as a starting point.
| Flow type | Weak | Solid | Strong |
|---|---|---|---|
| Abandoned basket | Below 5% | 5 to 12% | 12% or above |
| Trial expiry to paid | Below 8% | 8 to 18% | 18% or above |
| Welcome to first purchase | Below 2% | 2 to 6% | 6% or above |
| Win-back lapsed customer | Below 1% | 1 to 4% | 4% or above |
How to improve event-triggered flow performance
Improving a flow means finding the weakest stage in its tree and fixing that, rather than rewriting the whole sequence. Read the branch with the largest fall-off, change one thing, and confirm the headline rate moved before touching the next.
Tighten time-to-send
Fire the first message while intent is still warm. A basket message sent within the hour outperforms the same message sent a day later, because the moment of intent has passed.
Sharpen the trigger
A narrower, higher-intent entry condition converts better than a broad one. Excluding low-intent entrants lifts performance even though it lowers raw volume.
Test the conversion step, not just the copy
When clicks are healthy but conversion is weak, the problem is usually the landing experience or the offer, so test those rather than rewriting the email again.
Prune steps that lose people
Each extra message is a chance to unsubscribe or disengage. Cut steps that add sends without adding conversions, and let the strong steps carry the flow.
Common mistakes when tracking event-triggered flow performance
- 1
Judging on opens and clicks
Strong engagement with weak conversion still means the flow is failing. Always measure through to the real outcome, not the intermediate steps.
- 2
Letting the attribution window drift
A longer window inflates performance without the flow improving. Hold the window constant across every comparison.
- 3
Comparing different flow types
A welcome flow and an abandoned-basket flow convert on completely different intent. Benchmark each against its own type, never against each other.
- 4
Optimising the message before the audience
Rewriting copy cannot fix a flow that admits the wrong people. Check trigger precision before reaching for new creative.
Related metrics
Email open rate
Marketing Metrics
Metric Definition
Open Rate = (Emails Opened / Emails Delivered) × 100
Email open rate measures the percentage of delivered emails that are opened by recipients. It is one of the most widely tracked email marketing metrics, though recent privacy changes have made it less reliable as a standalone indicator of engagement.
Conversion rate
CVR
Marketing Metrics
Metric Definition
Conversion Rate = (Number of Conversions / Total Visitors or Leads) × 100
Conversion rate measures the percentage of visitors, users, or leads who take a desired action, such as making a purchase, signing up for a trial, or submitting a form. It is the fundamental metric for evaluating the effectiveness of any acquisition funnel, landing page, or marketing campaign.
Cart abandonment rate
Checkout drop-off
Operations MetricsMetric Definition
Cart Abandonment Rate = (1 − Completed Purchases / Carts Created) × 100
Cart abandonment rate measures the percentage of online shopping carts that are created but not converted into completed purchases. It is one of the most impactful e-commerce metrics because it represents revenue that was within reach but lost at the final stage of the buying journey.
Click-through rate
CTR
Marketing MetricsMetric Definition
CTR = (Clicks / Impressions) × 100
Click-through rate measures the percentage of people who click on a link, ad, or call-to-action after seeing it. It is one of the most fundamental engagement metrics in digital marketing, connecting impressions to action and serving as an early indicator of campaign relevance and audience targeting quality.
Conversion rate: a metric tree decomposition
Metric Definition
Event-triggered flow performance is fundamentally a conversion metric, so decomposing conversion rate into its drivers shows you which steps of the automated flow to improve.
Metric trees for marketing teams
Metric Definition
This guide places automated flow conversion within a wider marketing metric tree so you can see how flow performance rolls up into pipeline and revenue.
Find the branch your flow is leaking from
Build event-triggered flow performance as a metric tree in KPI Tree, with reach, engagement, conversion, and targeting as branches that each have an accountable owner. When a flow underperforms, the owner of the failing stage is notified, and the verified impact loop confirms whether their change recovered the rate.
