Flow Controls enables marketers to control the user movement inside the Flow. Following are the flow controls:
MoEngage system waits for the configured time before taking the next action.
POINTS TO REMEMBER
To configure wait time, do the following:
- Click the plus icon
- Click Wait For
- Click the pen icon to edit.
- Type or use the up and down arrows to set the wait time
- Select from the drop-down minutes, hours, or days.
Send your users to any existing stage in the same Flow using Go To.
- Click the plus icon
- Click Go To
- Click the pen icon to edit
- On the Go To page, search and select the desition stage.
- Click Done to add the action or click Cancel to cancel the action.
A/B Split allows you to test up to 5 variations of flow paths to determine which is the best performing option. You can experiment with different channels, different messages on the same channel, and different message frequencies across these flow paths.
You can set up the experiment and after analyzing the performance of each branch on publishing the flow, change the user distribution in favor of the winning branch. This will enable the majority of the users entering the flow to go forward with the best-performing branch.
Opt for intelligence
You can let MoEngage Flows automatically adjust the user attribution in favor of the best-performing branch as more and more users enter the flow.
Add A/B Split at any part of your flow from the control category of flow stages.
- Add the number of branches you want to experiment with. You can add up to 5 branches in one A/B split stage.
- Configure the user distribution split for each branch. The variation percentage can be anything between 0-100 for each branch.
- Make sure that sum of all the branch variation percentages is 100.
You can use the A/B split at any stage in a flow and add up to 5 A/B splits in one flow.
Please make sure to add different display names of each branch to distinguish between the branches on canvas.
Understanding the Performance
As users keep entering the flow, each branch's performance keeps updating on the canvas
- Email (50%) denotes the display name of the branch and the configured user distribution for the branch which is 50 in this example.
- 4 Done is the actual number of flow trips that have gone forward through this branch.
- Converted trips are the number of branch trips that resulted in at least one conversion. 75% is the Conversion rate for the branch in the example above.
- The engagement score is a derived metric reflecting the engagement of the branch. Higher the number better the engagement. Read more about how engagement score is calculated here.
What is a branch?
Finding a winner
To analyze and compare the performances of all the branches, you can check out the report for your Split node.
You can either click on the report option that appears on hovering over the stage on canvas or go to the split node stats section in the flow's detailed stats page and filter on a particular split node from the dropdown.
After analyzing the branch performance, you can choose to edit the configured user distribution so that most of the users entering the flow next will go forward through the best-performing branch.
Intelligent path optimizer
Intelligent Path optimizer allows you to A/B test up to 5 branches where Sherpa automatically keeps adjusting the user distribution towards to best performing path. You can focus on experimenting on which channel to use or what should be the messaging frequency in each branch and let sherpa optimize the user distribution.
While deputizing Sherpa to optimize the user distribution, you must also configure the metric you are expecting to maximize in your flow. This can be one out of Engagement, Conversion, or both.
If you wish to handle the user distribution manually, you can opt for A/B Split. Read more about it here.
You can Add an Intelligent Path optimizer at any part of your flow, where you want to experiment with some worthy alternative options. You can find the option to add this in the Control section of Flow stages.
Make sure you name each branch distinctly to identify them on the canvas. At every stage, you can experiment with up to 5 flow paths and in each flow, you add up 5 such stages.
Maximized metric selection
MoEngage Flows are used to solve a variety of use cases which can be generalized into two main categories.
- For increasing user engagement
- For increasing user conversions
So while optimizing a flow, we depend on your selection of metrics to be maximized in order to align the optimization to the Flow Goals.
How does this work?
Initially, the users get uniformly distributed, and as we start getting more and more performance results, sherpa keeps adjusting the user distribution towards the best-performing branch. Based on which metric is configured to be maximized we track different performance stats of each branch involved in the experiment.
- Maximizing Conversions
For each branch, we aim to maximize the ratio of converted branch trips/total trip of the branch. This can be loosely termed as the Branch CVR as well.
Things to notice
MoEngage refrain from using total branch conversions as the maximized metric as that would give preference to users doing multiple conversions on a branch and would also favor a branch having more action campaigns. Both necessarily would not mean that the branch that eventually wins is the most optimized one.
We believe that our approach relies on finding the optimized branch based on the most common user behavior leading to conversion.
- Maximizing Engagement
Similar to the conversion calculation, for each branch we aim to optimize the total engaged trips instead of total engagement. To do this we give an engagement score to each branch and try to maximize that score instead of total click or email opens of the branch.
Engagement score for the branch is the number of branch trips that have fetched a click from at least one of the action campaigns(BTC) + one-tenth the number of branch trips that have only fetched email opens(BTO).
Engagement Score = (BTC+ 1/10(BTO))/Total Branch Trips
The engagement score allows us to optimize for the best-performing branch which might not necessarily be the branch with the most clicks or most email open.
If this approach does not suit your use case or expectation, please reach out to us at firstname.lastname@example.org
- Maximizing the combination of Engagement and Conversion
For each branch, we combine Branch CVR and Engagement score with emphasis on branch CVR as we believe fetching conversions is more important than generating engagement. So the Maximized metric, in this case, becomes Branch CVR + 1/10( Engagement Score)
Sherpa will distribute maximum users toward the best-performing branch at the time of user reaching the path optimizer stage.
Sherpa will not stop distributing users towards low-performing branches even when a branch is identified to be performing better as the best-performing branch may keep changing from time to time as more and more users go through the flow.
Each flow branch's performance keeps updating on the flow canvas as more and more users go through it.
- A branch can be identified by its branch name. Email is the branch name in the above example.
- 4 done is the number of branch trips in the above example and these 4 trips constitute 66.67% of the total trips reaching the intelligent path optimizer stage.
- Convertrip trip count is the number of branch trips that lead to at least one conversion from one of the action campaigns in the branch.
- The engagement score of the branch is also shown for each branch irrespective of which metric is maximized for the branch.
What is in a branch?
To analyze and compare the performances of all the branches, you can check out the report for your Split node. You can either click on the report option that appears on hovering over the stage on canvas or go to the split node stats section in the flow's detailed stats page and filter on a particular split node from the dropdown.