Optimize Your Business with Powerful Product Funnel Analysis

How to create outlook signature

hi everyone I'm going to walk you through funnel analysis by mohenge so the funnel module of Monkish analytics helps you to understand user behavior for different platforms and also it gives you an Insight on how your users interact with your application through various stages of the customer Journey it's equally important for marketers for campaign analytics and also for product managers for product analysis and it helps you to Define how your users are coming to your product interacting with the various stages of the customer journey and at the end uh achieving the conversion event similarly it also helps you to understand the effectiveness of the campaign and what exactly is the conversion with respect to the campaign look like uh let's look at the funnel analysis and we will get started with a very simple two-step funnel where we'll be seeing uh how many users are actually opening the application and following to uh you know order successful we offer multiple different types of funnel analysis and we will be trying to see from the first analysis type that is the funnel for Unique users so this will give you a detail around what is the number of users who are opening the application and who are the users uh converting so we can see that the total number of app opens are 33 169 out of those I am trying to see here is the conversion as 27.62 that goes around 9161 users and also a drop off of 24 0008 users similarly this particular uh conversion could be analyzed by the line chart as well if you are looking to see how exactly the conversion on a daily basis look like you will be able to see that as well and you can just check the granularity based on the daily weekly monthly level uh and also like in into the absolute mode or the percentage mode now looking at the further analysis a very important part that is offered in mowing case is actionable analytics whether you want to Deep dive into the converted user or maybe the drop of user you can save these users as a segment and you can also create a specific campaign for these users and maybe reach out to them so let's say that I am trying to see users who have not converted and I'm trying to send them a one-time push campaigns with some specific users uh specific offers now for them to uh convert and maybe this will give my users one more chance to Avail that personalized offers for them and getting converted now let's look at the other funnel options we have also uh the other final option called funnel all occurrences so funnel all occurrences is one of the favorite analysis for the marketers and also the product managers because it helps you to analyze each and every instances of the interactions by your users on your platform and it tells you that how many times actually users came to your uh open the application each and every time this will give you a total count of those and also it gives you like how many times they got converted and how many times they got or they dropped off from the uh funnel similar to this let's talk about even more details around it now let's build a different funnel whether I'm trying to analyze let's say the users who have uh received a notification uh on Android about some promotional offer or maybe I can club club it with the users who have received a notification on iOS as well after that the second uh event could be users making opening the application and maybe the conversion event that I'm trying to take here uh could be order or successful now let's say that I can also exclude some of the specific events from funnel now let's say that there have been some of the specific uh promotional campaigns that have been run already so I can maybe select those uh specific event and I can exclude those from any specific step from funnels okay and I can similar to the Behavior Uh I can also filter these users based on the user property Behavior Affinity or I can do this particular analysis for any specific custom segment as well right so now let's say that I'm trying to see this analysis for all the users and I'm trying to see what exactly has been the conversion look like for the users who have been opening my uh receiving the notification and following it uh to opening the application and maybe uh being converted at the end so if you see the conversion of this whole funnel looks to be uh 8.45 percent now uh there are multiple options into funnel analysis whether you can also see a whole uh time to convert or for these users like how much time these users are actually taking to convert and what has been the conver uh you know conversion distribution look like and it will tell you that what at all for the specific funnel steps what exactly has been the conversion time for my 10 percentile of users and what has been the conversion time for my 50 percentile of user and similarly what has been the conversion percentile for my 90th or 99th percentile of user and this this also helps you to uh optimize your conversion Time by creation of uh different levels of campaigns for these specific users you can also uh you know use the options of funnel split whether for any specific event uh step or all if steps or up to any specific step you can split your funnel analysis based on the event attributes right or even time attributes so let's say that I'm trying to split this whole analysis for campaign uh IDs or maybe the app versions and I can also hold any specific attribute into all steps or maybe until uh you know any specific step as well whether these attributes could be all my event attributes event time or acquisition attribute as well apart from this you can also select or customize your funnel window so funnel window is something that determines that to complete these uh selected funnel steps right how much uh in how much time all these three steps have been completed uh so let's say that here my funnel window is one day so that means that the step one two and three have taken uh you know um should be between uh equal to or less than one day or maybe I can probably increase it to uh or decrease it to hours or minutes as well so if you see there are uh multiple e-commerce websites who want to see the effectiveness of their promotional offers or the checkout process so they are trying to drill down these funnel Windows to uh one minute or two minutes or three minutes and they want to see how quickly their users are trying to make these decisions similarly you can also use the normal funnel or a strict order funnel so let's say that a normal funnel will provide you the number of users who have performed the steps in the funnel in the provided sequence so maybe let's say that your funnel steps are a b and c and we'll count users who have performed either a b c together or maybe a c b and again C since uh in the in the four steps the users have been performing uh the funnel is counting all the Three Steps step A and B and C so it will be counting uh uh these user interactions into the funnel but when you are changing your order into strict this means this funnel will provide the number of users who have performed all the steps in the funnel in the provided order without performing any of the steps out of the order so maybe let's say that you have ABC as an event uh sequence right and if your user have performed a c b and again C then the user is actually breaking the funnel sequence so in that particular case he want or she won't be added into the uh funnel uh order when the order is strict but if the user have been performing any of the other step apart from the selected events so let's say that my user have my steps are a b and c and my user has performed a then user have performed the step called X and the user is performing B and again C since the user is performing uh an event which is out of my selected events then in that particular case the funnel uh strict order will be counting all the steps as uh uh into funnel and it will be giving you uh the results similarly uh since we are looking at the time to convert you can also check the time uh that has been the user has been taking from uh step one to two or maybe your user is taking between step two to three you can check the times between any of the steps you can also get a automatic distribution as well and also you can create your own Custom Distribution with an interval so that you want to see that how Within These intervals how exactly have my users uh converting and how much time within these specified interval uh how much how many users have been converted among these specified interval times now looking at the other uh funnel types we also have time to uh frequency of of funnel and this is this analysis is also performed for both uh unique users and all occurrences so this even frequency will provide you the distribution of number of times each occurrence or an event has been performed Before The Next Step so let's say that uh I am trying to see the frequency type for all occurrences that is uh going to give me even more details count and here what I'll Be Seeing is the distribution of the event that uh that needs to be uh you know occurred before its uh next event and here uh if you see I have the even frequency of uh one percentile as one and until like uh 86 percentile it is one but by 87 percentile I'm seeing an increment into it it is happening twice and similarly I'm seeing on 99 percentile it is happening uh three times and also on hundred percentile this has been happening 26 times so this gives marketeers an insight about to understand that actually how many times user is trying to do the previous events and so that they can make a decision in terms of uh getting converted or maybe going ahead and Performing to the next event so this will also be uh as a marketer or as a product manager this will give you an Insight uh to understand the users uh I can say a behavioral pattern that uh what exactly is triggering my users in terms of making a decision and at what time or after how many occurrences my user is uh performing the goal event or the conversion event so these are the different types of analysis that are offered in uh mow engage and all these analysis of funnels uh unique users and all occurrences gives you uh how exactly your conversion pattern and conversion uh and the drop-off pattern look like and also time to convert and uh gives you the details of how exactly how much exactly time your users are taking in terms of uh converting and also frequency it gives you the details of uh the users who who are completing uh you know the conversion event and how many times uh they have to perform the previous events uh and after that how much time it like how many times it takes those users to perform the previous events to decide or perform the end event and uh these are the all types of analysis offered in funnels and this actually helps you to measure your effectiveness of your process and campaigns and also analyze how exactly your onboarding flow looks like and how many users are actually following the own automoting flow and converting at the end thank you