51黑料不打烊

Please welcome to your screens Ashika Ramji.

Hi all, thanks for joining. So my name is Ashika Ramji. I鈥檓 one of the solution consultants here at 51黑料不打烊 focusing on data and insights for the 51黑料不打烊 Experience Cloud solutions. So today, as you might have guessed, I鈥檒l be your host running the skill builder session to give you a flavour of the capabilities of analytics and targets for mobile applications. There is a chat box on the left hand side and I will go through the questions at the end of the session so we鈥檒l get some time to go through that. But before we start, the first thing I want to briefly touch upon and something you may already be aware of is actually how we bring in data from our different solutions to 51黑料不打烊 Analytics and targets. So what you鈥檒l see here on the left hand side is three ways in which you can bring data to your various applications. If you take a look, and I鈥檒l just hone on the client side sources, is that we utilise one SDK for mobile and one for web called AP Mobile SDK and AP Web SDK respectively. Now this is a single library for each client that can be easily deployed using launch or a tag management solution. Now once these tags have been deployed, that data can feed through to a single destination which is our edge network. From there, any of the Experience Cloud applications like target or analytics as well as external solutions can consume this data, whether that be for analysis or event driven personalisation, whatever the use case is. Now essentially, as you may imagine, this method optimises the performance for your applications as only a single stream of data needs to be fed from each client to be utilised across your various solutions, enhancing the management of your data. Now hopefully that gives you a brief understanding of how data is collected, so let鈥檚 now see how 51黑料不打烊 Analytics, the first solution, utilises this to provide actionable insight. To do so, I just want to set the scene and introduce you to Woodland Retreats. Now Woodland Retreats is a fictitious business who offers luxury cabins in various different woodland parks for families, couples, friends, just to get away from the busy lifestyle we experience in the city. And given the surge of people that use mobile apps today, Woodland Retreats have deployed their own app to give the flexibility that their users desire to engage with the brand. But what they want to do next is gain a clear insight of how it鈥檚 performing in terms of engagement and also areas to optimise the experience to drive retention and revenue in the end of the day. So let鈥檚 go ahead now and actually jump into 51黑料不打烊 Analytics and see how we can achieve this. So I鈥檒l move over to the solution and exit the presentation for now. So hopefully all of you can see my screen. So here I鈥檓 presenting the 51黑料不打烊 Analysis workspace. So this kind of hosts a number of different projects that I鈥檝e created and ones that might have been shared with yourselves by other team members. Now I will jump into one of these projects but I鈥檓 going to show you how quick and easy it is to create a project as well. So if I head over to this big blue button, what you鈥檒l see is that there will be a number of different templates that you can use from day one to help you with analysis of the mobile application. Now these templates include information such as the app usage or journeys that people go through on an application or also things around the performance of the app like whether it鈥檚 crashed, if there鈥檚 bugs and retention, so retention rates. Now these have some really nice visualisations and tables that you can use from day one just so that you have a strong foundation to look into the analysis of your mobile application. Now what you can also do is use some of these visualisations and tables which is great to actually build out your own project and your own workspace. So that鈥檚 what I鈥檝e actually done today as well for us. Now I鈥檓 just looking to the right hand side because I鈥檝e got a second screen. But here I鈥檝e created my own project to build out my own narrative as to what I would want to share with the business for woodland retreats or whatever you have internally as well. Now if we think about the first part of the journey when it comes to mobile application, it鈥檚 all about people actually installing the app. So I can see some key fundamental metrics up here telling me about how many people have installed the app over a period of time. Now this could be a week, this could be a month, it could be you know a longer duration, it depends on you. But more interestingly I can actually see from those people that have installed the app and launched it in that week, how many of them are coming from say an Apple iOS or an Google Android device. So I can actually hone into this to see what鈥檚 performing best. So I can see that trend for the Apple devices against what鈥檚 happening with your Android devices and how many of them are contributing to the number of launches. We can quite quickly and easily see now that there鈥檚 actually a dip in the number of people that have actually installed the app or actually launched the app on the 29th for example. So we can start to investigate that and see okay why was there such a dip there. Alongside that you know you鈥檝e got all the information about how many installs have occurred but you want to know about usage so how many people are actually using the app as well. So you can get some key fundamental metrics telling you the number of users that came onto the application last week. You could also trend this and see okay how has this kind of changed week on week for us and we can quite easily see big bold numbers that there鈥檚 been a growth week on week so it鈥檚 there for us to quickly absorb that information. Likewise in the analysis workspace and new projects you can look further down that funnel to look at revenue for example and you can see how鈥檚 that trending week on week as well or month on month. So that鈥檚 some really key metrics for us to understand the health of the business right now through this specific channel. But our question might then be actually how do we increase this engagement and how do we increase this revenue and that might be because you have a number you need to hit that鈥檚 on your head for this quarter or this month. So much like using the projects for websites you can do the similar activities for your mobile apps. So here I鈥檓 using one of the visualizations one of the kind of bar charts here and I鈥檓 looking at how many people have launched the app across a month and how many currencies there are for that. So what we see here in this graph is that actually the majority of people over that month are only actually opening up the app once and that鈥檚 a bit of a cause of concern for us we鈥檙e thinking okay well we want to increase the number of users and the revenue. So this already gives us the information we need to say actually if we increased the incurrences that could increase the number of users week on week and potentially the revenue as well. So from there using that information we then decide okay actually let鈥檚 see how we can do that. Now this is where you could use other visualizations so here I鈥檓 using a tree map and what it鈥檚 actually looking for is specific user base so we鈥檙e looking at new users at the moment coming onto the app and what they鈥檙e searching for. So what we can see is that the majority of people are looking at information they鈥檙e not booking things they鈥檙e looking to get directions, activities, child care and what they need to bring so they鈥檙e planning what they need to do before they book anything. So that鈥檚 some great information for us to absorb to say actually for our new user base we should probably tailor the experience to be more informative about planning the trip rather than booking accommodation straight away and that would be more catered for them and increase their usage. You could do the same for other audiences so here I鈥檓 looking at customers that are already part of the app so they鈥檙e not new they鈥檝e been booking and what we can see is their interests so the majority of them are looking at my account but also they鈥檙e looking at booking so they鈥檙e looking for booking accommodation. So this is the user base what we should be doing is maybe tailoring the experience to bring up booking and accommodation so maybe on their home screen we could say you know book accommodation now or a pop-up saying why not book an accommodation and this is a better experience maybe for them so that they don鈥檛 have to go through the application and find what they want to look for to book something you can bring that information relatively quickly for them based on your insights and designing the experience that way. Now the way that you can start to build this up is a simple table and then you can change this into a visualization so for example you can bring in some metrics and dimensions so I鈥檓 looking at pages and I鈥檓 also going to be looking at page views just to replicate what鈥檚 in here. Now all you simply have to do is bring the metric and the dimension so this could also be search terms and also the the number of times or occurrences and then you鈥檒l highlight the columns right click press visualize and you can translate this into any type of visualization to make it more informative such as the donut graph and there you go that same visualizations up there for you. But let鈥檚 say we鈥檝e now started to understand you know how we can start to optimize the experience and we鈥檝e got people coming to the park for example. Well next we might be interested in okay actually retaining these people so here we can use a number of different types of tools as well. In this case we鈥檙e using the map graph so the map graph is one of these visualizations that you鈥檒l see here. Now what we can do in this case is we鈥檙e looking at the number of people that are giving us feedback in the actual park compared to the number of people that are giving us feedback outside of the park once they鈥檝e had their stay. Now quite quickly with this type of map we can see that the majority of people are giving us feedback when they鈥檙e actually inside the park and the way that we can start to actually get this information is through a variable called point of interest name. So you can bring a variable for the actual longitude and latitude of your park your store whatever kind of physical kind of brick and mortar stores you have you can kind of bring that in so we can know the location of it and from there if people are actually using the app and they鈥檝e accepted to be tracked as well we can start using geofencing so we can see how far they are from that specific location. This way we can get some real vital information so here if we know that majority of people are giving us feedback when they鈥檙e actually in the actual park that鈥檚 a great opportunity for us to say actually maybe at that point in time to retain these people let鈥檚 kind of give them an offer whilst they鈥檙e also giving us feedback we鈥檝e got their attention so this can start giving you opportunities to look at retention to bring people back coming to your parks your stores your brick and mortars as well so it doesn鈥檛 just have to be the application itself. Now this story can apply for many others as well it doesn鈥檛 just have to be for the actual park like woodland retreats it could be for a retail company as well so here you can see the number of launches where those launches are coming from using that map visualization you could also see the top screens people are looking at when they鈥檙e on the application to see okay what鈥檚 really drawing people鈥檚 attention and also more granular stuff like what are their top actions in the app now this is a little bit light because it is so many data but you can see that the top action here in this case is people adding something to the product now that鈥檚 all well and good for us we鈥檙e thinking great but we also want to know further down that funnel so they鈥檙e adding things to the cart but are they actually purchasing stuff so this is where you can use something like the flow visualization now you might be already familiar with this but the flow visualization allows you to nicely see how people are naturally pathing through your app to understand their journeys and behavior so all you have to do here is you can bring in one of the flow visualizations you drag and drop it and then say you know exactly the page that you鈥檙e interested in so in this case we鈥檒l look at the initial part of that purchasing step and see if people follow those purchasing step and actually buy something so i鈥檓 going to use the app person so people journeying from that point of screen now if i expand this out just a little what you鈥檒l see immediately is that people from purchase step one there鈥檚 a large drop off a large majority of people are falling off that screen and that鈥檚 having a knock-on effect to those moving over to the purchase step two and then also the confirmation of a purchase so actually making a purchase so immediately we also see even on the application where the bottleneck lies which is in this screen again we can use the flow visualization to see what are the top screens or the top pages people are on before they exit now this is a top-down approach and again what we see is the screen that people are most on before they exit the app is actually on that purchase step one so again it鈥檚 reconfirming that there鈥檚 a problem on that purchase step one so it鈥檚 telling you where your bottlenecks could lie now what you might do then next is say well we want to look at this further under the microscope so this is where you can use another visualization that focuses on journey called the fallout now the fallout allows you to start to put in steps and see if people actually go through those steps and as you would expect them to so in this case we鈥檙e building up the screen so it doesn鈥檛 just have to be pages it could be actually the fields on that specific screen so that purchase step one screen so what we see here is all the visitors coming onto that screen and then them filling out the delivery dress so how many fill out the delivery dress and then actually fill out the delivery options as well but what we immediately see is that on delivery options that field a lot of people are dropping off again and that鈥檚 having a knock-on effect on those that are filling in the promotion codes and pressing the next step button as well so now we鈥檙e able to actually identify the actual bottleneck the part that鈥檚 causing a friction in the user experience which is that delivery options what you might do next is actually give it to say the ux team and say to them can you add some qualitative information to this and they may find that actually for the delivery options if you added the free delivery options higher up on the drop down menu or at the top of the drop down menu that could potentially start to increase those that fill in those details and then follow on to the next steps and start to have that knock-on effect to the revenue as well to drive that number up but that sort of find and that sort of investigation it鈥檚 instigated from the data that you鈥檙e gathering in adobe analytics now that鈥檚 a really well good way of actually identifying how we can optimize the experience but what you might also be interested in is retention rate so a cohort graph is a great way to see retention rates so what it will do is it will allow you to look at churn and it will also allow you to look at retentions so in here i鈥檝e put in first launches and then from those first launches how many people launch the app there on after for a period of a month and a bit at a weekly granularity and i鈥檝e done retention as you can see here so what we can quite quickly and easily see is those people that have launched the app and then those that come in again week one two three four all the ways to week seven and eight and here what we can now easily see is the people that are actually showing a sense of loyalty so they鈥檙e coming back weeks seven and eight and this is really important for us because actually a recent study showed that 71 percent of people in the first 90 days of downloading the app actually churned so in the mobile channel although it鈥檚 very dynamic and it鈥檚 one that a lot of people choose to use we need to retain a lot of people so here finding those audiences that are showing a sense of loyalty gives us an opportunity to learn from it so what we can do here is actually right click and say let鈥檚 create those people that have come back even further on seven weeks seven and eight and create them as an audience to investigate so we can create them as a segment and here what we鈥檒l do is we鈥檒l give it a title and you can call it engaged users and a description and all that logic about them coming in weeks one two and three to seven and eight is already added in here for us so what you鈥檒l see is on yours how many people are actually associated to this group and once you鈥檝e given it a name and a title it will come up here on this components list within these segments so what you can do next to learn from it is actually use segment iq so this is a segment comparison so here i鈥檓 going to compare two segments the engaged users and another audience called the ios user so anybody that has an ios device and once you press build you鈥檒l see all the differences between those two audiences in terms of dimensions metrics and segments so quite quickly and easily what we can see is that the number of engaged users are actually part of an ios device so immediately gives us information that there鈥檚 a huge opportunity for those that are on an android device because they鈥檙e not part of this engaged users or very little of them are so that鈥檚 one area that you can tap into another thing to really learn is the metrics that really differentiate these two audiences that we can learn from so for engaged users we can see that the number of units bought or revenue or content viewed is a lot higher than those that are from the generic ios that aren鈥檛 engaged and that鈥檚 no surprise because they鈥檙e more engaged but what we can take away from this is that those engaged users more those visitors are actually upgrading to a newer version compared to those generic ios users that aren鈥檛 as engaged so that鈥檚 already given us a key information to say actually if we maybe push more people to actually upgrade their version that can give them a better experience and potentially get them more engaged because these engaged users seem to do upgrades and seem to be showing more retention with our brand so that鈥檚 a key takeaway that you can start to look at using segment iq another thing is looking at dimensions as well so in this case it鈥檚 dummy data so it鈥檚 a mobile audio support but we could say this might be an activity in target so an experience targeting activity for a summer kind of creative that鈥檚 a bit more personalized and if you see that activity listed here you what you will see is that these engaged users are more associated to it so they鈥檝e been viewing this specific personalized content that you鈥檝e deployed out through target whilst your generic ios users haven鈥檛 actually visited that or seen that so they haven鈥檛 been exposed to it so it鈥檚 giving you again some vital information to say actually if we push out this activity to a wider audience or more people this might get them more engaged since our engaged users are actually showing an interest in this and actually seeing this experience that we鈥檝e designed and target so this is just one way that you can start to look at analytics to look at mobile applications like i said there鈥檚 a lot more that you can utilize and looking at crashes and bugs and seeing how we can improve performance but this gives you some vital insights to start looking at how we can test and target and optimize the experience which actually leads me to the targeting side so we鈥檒l pop back into the presentation now and start looking at the next slides perfect and here we go so the flip side of the coin is really looking at adobe targets and findings in adobe analytics and this will help you optimize those end user experiences it essentially gives marketers the flexibility to do what they want whilst it gives the mobile developers the freedom to do it how they want but how exactly is this working from an overarching perspective well we talked about this a little earlier in the first slide but just to reiterate using adobe mobile sdk a specific request is made that automatically includes much of the customer content such as location mobile app and attributes and customer data and this information is basically received and used by the adobe target servers where it decides what experiences should be returned to the mobile application the return experience then takes the form of a texturing and just remember that because i鈥檒l show you this a little later on and this texturing could be short and simple or something more sophisticated when the response is then received by the application which is number three here the experience is then provided to the app user so let鈥檚 look at a simple example let鈥檚 say we want to optimize the home hero image target can provide the hero image url that could be used on that home screen to adjust it now other simple examples could include changing text button color or the screen flow now let鈥檚 look at more sophisticated example here we have a build your own sandwich app if you will so if you look under the headline within this json response i have black frost ham and you can see where this is being rendered in the app on the right hand side i have a number of image resolutions as well for ios and android and whatever is appropriate for the specific device it will show that image here and we have different call to actions like the buttons named add to bar add to bag sorry and also customize including here we also have a description which has different ingredients for text and also a list of images so this is how you can start to build up the experience a little bit more now other advanced use cases could be page layout business logic or even feature flagging so let鈥檚 again set the stage for the walkthrough for target and this time i want to introduce you to luma an active lifestyle e-retailer focusing on products and content that resonates with those who want to be and look passionately fit so historically luma has exclusively catered to active women however recently they have expanded to include active men therefore luma would like to better understand what content and messaging best resonates with men whilst not alienating the women customer base since first impressions are important luma wants to focus on how the home screen content is presented to their men customers to answer this challenge we鈥檒l use adobe targets ab testing capabilities in particular we鈥檒l run two tests in the hero area that includes images text and a call to action button as you can see experience a is a bit more text heavy whereas experience b tests the less is more approach so we鈥檒l actually create both of these in in today鈥檚 session so let鈥檚 go ahead and jump into target and actually demo this out so again hopefully everybody can see my screen and i鈥檓 going to jump into adobe target now so this is our workspace and what we鈥檒l do is we鈥檒l come up here to create activity and select the ab test now because we鈥檙e using a mobile app we鈥檒l select the mobile app channel and we鈥檒l come in here and select no property restrictions and select next now the first thing that you will do is you鈥檒l actually put in an identifier or a name that both the adobe target servers and your mobile application refer to to be in lockstep with each other so that you can alter the content so you can choose a referenceable identifier i鈥檝e got one called hero screen so i鈥檒l bring that in and you just basically will type that in so make sure it鈥檚 referenceable so you can understand it you then also create an experience b because remember we鈥檙e creating two experiences and we鈥檙e adjusting the same area the same identifier so we鈥檙e gonna adjust that hero screen in experience b as well now once we have that in place we want to then create the content so in here this is where we鈥檒l use that text string remember so we start adding in that content and we鈥檒l use adjacent offer so adjacent object now just to kind of reiterate and just give you a little reminder what we鈥檙e actually going to be creating is this second experience and first experience here so we鈥檙e looking at experience a where it says make it real find gear to get going and shop now with a man that鈥檚 running in the background so we鈥檙e going to go ahead and build that and just for ease of use today i鈥檝e actually built out how that screen looks already so you would have this internally with your development team now there鈥檚 a number of different things you can change on that screen specifically but we鈥檙e mostly interested in that hero screen so you鈥檒l see here that i鈥檝e got that actual specific content and the details around changing that so we鈥檝e got make it real the title shop now label and we鈥檝e also got an image here of that man running so if i just copy that and bring that into another page you鈥檒l see that man running so that鈥檚 how we鈥檝e designed it now essentially you can build this out and change what you will to build that hypothesis in there and a test you want to deploy out for the business so all we have to do is basically copy that and we鈥檒l come back into this activity and go ahead and paste it in experience a now we鈥檒l move to experience b so again we鈥檒l bring in another text string adjacent offer and in this case if we remember what we want to do is take the less is more approach so in experience b we鈥檝e got just a shop call to action button no real text and just a background of somebody that is rock climbing or bouldering um as you can tell i don鈥檛 do either but that鈥檚 the image that we鈥檙e going to be utilizing to build that experience so again it鈥檚 using the same format but what we鈥檙e doing here is we鈥檙e changing certain elements to fit that design so in this case we haven鈥檛 got shop now but shop and we haven鈥檛 really got any other titles and we鈥檝e also changed the image here to have that person that is rock climbing um so if i take that again one second and put it in here you鈥檒l see how the image is changed so you can just test it out that way and see how it would all look like so essentially once we鈥檝e designed that again all we have to do is take this copy it and then we鈥檒l bring that in as an object into our experience base and now we鈥檝e created those two experiences now once that鈥檚 done we can move into the next step which is to do with targeting now by default your audience would be for all visitors but you can replace this and change this out so i can come up here to replace audience now when i replace the audience i鈥檝e already created one which we鈥檒l use but you can get audiences from analytics so if you鈥檝e found a profitable audience in analytics you can share that with target and use them in your activity it could also be from other experience cloud products so if you had something like real-time customer data platform where you鈥檙e creating segments again that can be shared with target as well to utilize and you鈥檒l see that the source will be named experience cloud if you鈥檙e creating audiences in target then of course this also be adobe target and you鈥檇 be using the interactions that people engage with and also other attributes you could also feed attributes from other external solutions like a crm for example and that can get fed to build up more segments in our case i鈥檝e created a segment for those that have an interest in the male category and to show one of those two hero screens and my logic behind this was if they鈥檝e clicked on a product category that is male related three times or more in the last 24 hours then they鈥檒l be part of this category called lima men鈥檚 category interest now you can create whatever logic you want it could be category affinity like mine or you can change it up to fit your hypothesis and the reason i did this is so that i don鈥檛 alienate the women鈥檚 category so although we鈥檒l push out the experience to the men at the same time we don鈥檛 want to show that experience for people that haven鈥檛 shown an interest in those products so for example the females who haven鈥檛 been clicking on the males category they鈥檒l get shown the default experience so once you鈥檝e got that you鈥檇 go ahead and assign that audience to this activity and then you鈥檒l move into the traffic allocation so how we allocate the traffic to these audiences that are coming into this activity can be done in three ways the first one could be manual so you could do a 50 50 split between experience a and b for all those people that are coming into this activity so fit this specific criteria you could also use ai machine learning so the first one that uses ai machine learning is called auto allocates now auto allocates identifies the best performing experience at that point in time and it will push it to any of the new users coming into this activity so for example if experience b is doing really well any new users coming in will be shown experience b now that will do two things for you firstly it will kill two birds with one stone because you鈥檒l be exposing the the best performing experience so you鈥檙e optimizing the conversions or whatever your goal may be and the second thing is you鈥檒l get to statistical confidence a lot quicker so you鈥檒l be able to see which activity or which experience sorry is performing best quickly because the best performing one is being exposed more often as well so it shortens the length of the actual test as well for you the third way to actually allocate traffic is then using auto target now auto target is very powerful in its own right and what it will do is it will actually push the experience that is best for each individual coming in to this activity so it gets very individualistic now it鈥檚 not just about a group of people now the way it does that is because in the back end of adobe target it鈥檚 creating visitor profiles and these visitor profiles are listening to a number of different things it could be interactions for example so what they鈥檙e clicking on what鈥檚 their category affinity it could be their location it could be their age things that they鈥檙e passing through when they sign up it could also be things that you might be feeding again from external systems so if you have a crm you might be feeding those visitor profiles with more attributes that you might be gathering from that solution as well so this gives us an enriched view of that visitor now based on that what will occur is say we have bob here and bob comes in he comes into this activity because he鈥檚 been clicking on three products of in the male category and he actually converts with experience b and your conversion can be whatever you set it up to be whether that be engagement a click or whether that be revenue so let鈥檚 say it鈥檚 a revenue now let鈥檚 say sam he also comes in and he鈥檚 been you know clicking on these three products or so in the last 24 hours so he comes into this activity as well and he shows similar attributes to friends and you can see similar attributes to each other so what this will do is it will use that ai machine learning capabilities and knowing that there鈥檚 similarities it will actually expose experience b to sam as well because bob who was similar to him converted with experience b so that鈥檚 how it starts to build up that individualistic type of nature to get more personalized to each person so there鈥檚 a number of different ways that you go about traffic allocation and that鈥檚 one that you can start to utilize here now once you鈥檝e decided which one you鈥檒l go for you then will move into goals and settings now i won鈥檛 actually state or type out the whole objective because it鈥檒l take a bit of time but essentially in this objective you鈥檒l write your hypothesis so ours is to see which experience is best resonated with the male category in terms of driving revenue for example now once you鈥檝e written that objective you can then also set your priority and your priority is how this activity takes priority against many other activities that you might have created as well in adobe target and this is really vital for example say if you鈥檙e you have two activities that are running on the same screen in the same location at the same time for the same audience there is a potential for those to collide so which one would be served to the audience then so in this case you can set a priority level and say this activity takes higher priority than the other activity and that we鈥檙e deploying that seems to be for the same audience in the same location as well so that can start to avoid those collisions as well for you you then can also set some other basic stuff up such as your duration so when do you want to activate this test and when do you want to deactivate this test you can also set this up for a specific date and time so you can just let automation do its work and say we want this to get set up on this time on this date and that just helps with a bit more organization within the business once you鈥檝e done that you would then set your reporting settings so if you鈥檙e solely solely using adobe target then you would select adobe target as your reporting source but if you are using say adobe analytics as well you can actually push the results back into adobe analytics for you and look at those results now once you鈥檝e done that you would then move into your goals and metrics which is probably the important thing what is it that we鈥檙e actually measuring here if you鈥檙e using target you have three different options you can choose conversion revenue and engagement if you鈥檙e using analytics you can use all the metrics that you have in analytics to analyze the performance of the activity so since we鈥檙e using target just for now i might select revenue and i might be interested in revenue per visit and they would have to have selected a certain inbox so my marketing box might be any box or it could be that specific hero screen that we just created so somebody鈥檚 clicked on that and then how much revenue is generated there on after so that鈥檚 the settings of it now once you鈥檝e actually put that all into place and you鈥檙e happy with it you can go ahead and give it a title so we can call it whatever it may be a b test we could go ahead and save it and close that now once you鈥檝e done that what will happen is the activity will sync up for a moment and once it鈥檚 synced you can then go ahead and push this live now you can do previews as well of any of your tests before you push anything live so and there are some links to that i share with you and once you鈥檙e happy go ahead and activate this and that will get deployed onto your mobile application so let鈥檚 actually take a look at this on our mobile app and see what that could look like as well so i鈥檓 just going to bring this up very quickly this is my mobile app and what we鈥檙e going to do is we鈥檙e going to go and start to select some various mail categories so we select this and the product selects a few and then it should come into the mail category if not one second let me just run this activity very quickly and what we should see when we go through this process is the demonstration of those three activities that we鈥檝e done so if we select the mail category three times then it should come up for us as well so i鈥檒l bring this up for us and what you鈥檒l see here is that that category has now changed so what we deployed one of the a or b experiences have been shown to us and this is because we selected three of those products that has changed that specific screen then and if we just look here on the left hand side and come into segments what you鈥檒l see is that that luma men category affinity has shown up so they鈥檝e been part of that segment because somebody has clicked on a product three or more times in the last 24 hours so they become part of that audience and then they get part of that activity we just created in that a b test and one of those experiences whether it鈥檚 the man running with a bit more text or the one that鈥檚 a little bit more simplistic will get shown to us since we did a 50 50 split um i got 50 chance that i鈥檒l see this um maybe somebody else would see the other less and text heavy experience as well so that was actually what i wanted to go through today um just to give you a little bit of insight into how we can start creating these activities in adobe target and also how we can start getting that analysis within adobe analytics as well so based on that i think we鈥檙e good to kind of go back to the actual presentation and we鈥檒l start to look at some questions that might have come up on the chat thanks ashika we just have one question um and it鈥檚 from michael and it says um with custom events are you covering all ui elements in your app so for example screens and actions or are you highlighting the most important and just covering them yeah so it鈥檚 just highlighting the most important ones and actually covering them is there anything specific that michael that you wanted to look at or i鈥檒l just give a moment from that that鈥檚 right so in the meantime what i could also do is just send some information as well around you know even the mobile preview links that you might be interested in when you鈥檙e doing target activities um for the mobile application so i鈥檓 just going to pop that in the chat as well don鈥檛 know if there was any other questions that we might have had harriella yeah just one that鈥檚 come through from nina um said thank you when you were changing the json object do you bring all the parameters or just the ones that you want to change in target yeah i brought all the parameters in that case yeah and it just included the um the areas that i just wanted to change and so i brought the whole thing in in that case perfect and michael just responded and said no nothing and nothing specific and thank you um we鈥檝e got svetlar that has said could you recommend learning videos for ab testing so i think we could probably send those over um afterwards yeah definitely we can share some with you um around that there鈥檚 a heap of videos on how to actually create it for mobile applications not just for mobile um also for website but not just for ab testing but also recommendations of the activities you might want to start to utilize as well perfect and that鈥檚 all we have for the moment um so i can send that over to you i鈥檒l take a little look and give that to the rest of the team to share out amongst you all and i鈥檓 just seeing if there鈥檚 any other types of detail that you might be interested in seeing as well um another thing i just kind of probably could point out to you is when it comes to reporting i briefly touched upon it that you can do it in target but you can also do it within adobe analytics as well so this is where you can use the a4t panel specifically and start to look at those activities that you鈥檝e created and if you鈥檙e doing it in analytics what it will allow you to do is it will allow you to start looking at more granular stuff as well so you can use different activities as well so you can use different types of metrics so it doesn鈥檛 just have to be revenue and conversion like clicks and engagement you could use all the metrics that you鈥檙e gathering in analytics to analyze the performance of the activity so you get a little bit more deeper and you can choose a number of different metrics as well to analyze the performance so for example it could be revenue and add to cart and form fields whatever it may be that you鈥檙e interested in in that experience specifically so yeah it can help you quite a bit to dive a bit deeper i guess there might not be any more questions um if there is anything and do feel free to kind of share them out to us as well and i can send you the relevant links to maybe try this out yourself as well and kind of test it out in target or analytics and look at those results thanks to shika we haven鈥檛 got any more questions no worries at all okay well it was lovely um to share this with you and hopefully you all have a great rest of the day as well take care