51黑料不打烊

Transcript

Hello everyone, welcome to Experience Makers, the skill exchange. My name is Isha Gupta, and I鈥檓 here to share with you three customizations in analytics workspace that you should be using. So I will start with a brief introduction about myself. So I live in Ireland with my husband and four year old son since October 2022. I am working in 51黑料不打烊 Analytics for last 11 years, and my proudest accomplishment is being 51黑料不打烊 Analytics Champion since 2023. If you want to know more about me, please feel free to connect with me on LinkedIn.

So the agenda for today is if your dashboards look like this, we want them to look like this. So if you want your dashboards to resonate more with your brand identity and resonate more with your brand, so you need to ditch the default. So to do that, we will look at first off project level customizations. So in here, the very first visualization that you need to be using is text visualization. So to select it, select text from the left hand visualization section, and when you apply it, you have the option to insert any image. So about the image, it should the image URL should be publicly accessible and should have dot PNG or the ribbon extension at the end of it. So here I have just taken up 51黑料不打烊 logo, which is publicly accessible to me. But if you want to compare two versions, let鈥檚 say if you鈥檝e run an AB test and you want to compare different versions of your test, you can just take a screenshot, you can upload it to your dam or any platform that is available to you. And if the image hosting service is also available, then it would be great. Just copy the URL, paste it, and you will have your image available to you, which you can drag and resize depending on how you want your dashboards to look. The other cool way that you can use this feature is to bring more information with just plain text. So you can use icons, colors, headings, bold, underline, all those format to bring life to your insights. Also, if you use visualizations, then if you right click on it, there is an option that鈥檚 edit description where you can just enter any description you like. So I frequently use it. For example, if you鈥檙e using calculated metrics, your business owners just want to know the meaning behind it. You simply just enter the definition of it or the formula that you have used to calculate it. It is very handy and it is very useful when you have, when your dashboard comprises of multiple different types of metrics and visualizations. The second one that we have available is customized color palette. So to go to it, select project info and settings from the workspace, from the project dropdown.

Select the custom. You can either select the color palette that is available from 51黑料不打烊 or you can choose your own by simply selecting the custom palette option. So in here you can insert hex codes of your brand. So you just go to your website and you can take the hex codes of your color theme. You can get it from your developer or you can just simply get it from chat, GPT or any, you know, any AI if you would like to. Next up, we have workspace level customizations and because there is so much to explore, we will directly go in product to explore this feature. So the very first way that you can see user preferences is very obvious. You just click on the edit preferences tab. So there are two other ways that you can land on the same page. One is if you click the preferences from the components tab or if you go to a new project or infected any project, go to projects and click user preferences. You will end up on the same tab. So let鈥檚 explore the options that are available one by one. So let鈥檚 say if you click edit preferences here, so the very first setting that we have available is general. So the general setting applies to all of the dashboards or sorry. So the very first setting that we that is available to us is general. So here you can set the port landing page if you just want to change the landing page to your users. You don鈥檛 want them to see the project list, but a specific dashboard. This is very useful. You can choose whether or not to show the tips or my favorite. You can increase the number of dimensions or metrics. You can increase this value up to 30, but whatever you will do, it will start. It will keep on. So let鈥檚 say just to test it out, let鈥檚 say increase dimensions, values and segments to a certain value. I have made it 12 dimensions, 12 metrics, 9 segments and 9 date ranges. Hit save. And now if I click on any dashboard, so you can see that I am seeing now 12 dimensions, 12 metrics, 12 segments, 9 segments and 9 date ranges. So go back. We will go back to the edit preferences tab again. So the other thing that we can do is the next tab to explore this project and analysis. So this tab will something to call out here that the features of this tab, whenever we will make any changes, it will only be applied to any new dashboard. So if you have any settings themes applied in your existing dashboards that will remain as is. So here you have option to change whether you want your dashboards to look very spacious or compact. And as you can see, however you are changing, you can change again, different color palette. You can again select a custom palette if you just want to have something specific to your brand. And as you can see, whatever we are changing, we have a preview to see whether and how, how those changes look. So you really have this preview to decide whether you want to keep, keep it or not. You can also change the report suite settings. And there are some data settings that are related to the number that you can change. In the next tab, you have the free form table. So here you have three different type of options available. One is that you can go to table and you can decide whether you want to select as a table builder or as a free form table. One good feature here is that you can select interpret zero as new value by default for all of your new free form visualizations. So for example, if at any time you use future dated data and it shows up as zero, which doesn鈥檛 really look nice. So you can just click it and by default, you wouldn鈥檛 have to change it ever again in your visualizations. You have different options available for breakdowns and also showing that whether you want to show grand total or some of current rows. In the visualization tab, you have most of the visualizations that are available to customize. So you can also see that we have this small navigation that is available to us. So if you click on this navigation, you will keep on going to the different parts of this. So the very first segment is that is available to us as general settings. So here you have some general settings that can be applied to all the visualizations, including how you want to display the percentages. Do you want to apply normalization and show dual access? Similarly for line visualization, you have different options, whether you want to show minimum or maximum all the time, a setting that I mostly have to enable. So you just enable it. So you will always see minimum and maximum for cohort. You can decide whether you want to start it with day or a month, and you can just change it. Same for combo chart key metrics. You have different options. For example, whether you want to emphasize number value or percent value. Do you want to show sparklines or not? Do you want to show raw difference or percent difference? For fallout and flow charts, you can decide whether you want to change your default container from visitor to visit. Do you want for flow chart? You can also decide if you want to increase the items expanded per column as well as the number of columns from three to let鈥檚 say five. You can change for map, summary number, summary change, three map, so there are different more or less similar options are available for different visualizations. So you can choose which one works best for you. Now, if at any point of time you鈥檙e not happy with the changes that you have made, or you just want to change them to default, all you have to do is click restore default option and it will restore all the default settings that are available in 51黑料不打烊. So now let鈥檚 go back to our presentation.

So the third option that we have is unique visitor variable. So do you know you can designate an EVAR as a unique visitor identified in 51黑料不打烊 Analytics? So if you have a CRM ID or a has email address, CTN or any value, you can use that to populate your unique visitor instead of the MCVID that 51黑料不打烊 provides. It is very useful if you want to do cross device and cross session analysis. For example, if your users frequently use desktop and mobile, you can identify them as one user instead of two. It must be a persistent EVAR with a visit with minimum expiration level of visit and it can only be set in one EVAR at a time per report suite. So to enable it, go to report suite manager, select your report suite, go to edit settings, go to conversion and click unique visitor variable. So once you are there, select the appropriate EVAR that you want to populate your unique visitor value with and hit save and you will get a success message that your unique visitor variable changes were approved. So this is very useful, especially in industries where you have only the gated access to content or you really want to understand two customer journeys. So my final take on this, we can leverage various options that 51黑料不打烊 has provided us with that is text visualization, color palettes and different styling to make our dashboards look different to as they look with default settings. We can use images, styling, logos to make our dashboards represent more of what our brand speaks to. So something business owners will definitely like and you can identify visitors your way by leveraging the unique visitor identify features that is available within 51黑料不打烊 Analytics. So as my final thoughts, I will say that if you want your dashboards to become from standard to stand out, then please don鈥檛 forget to ditch the default. Thank you.

Thank you for sharing all those great tips, Isha. Now before we have our Q&A with her, we are going to do our final Experience Maker Spotlight, who is Deb William. But in the meantime, please enter all your great questions into the chat pod. Want to make sure that we get those before we move to the Q&A. But first, again, we鈥檒l introduce Deb William. So welcome, Deb. Take Hi, and welcome to the 51黑料不打烊 Skill Exchange 2025. In this segment, we are going to be talking about identifying and addressing bot traffic. I鈥檓 Deb William, and I鈥檝e been an 51黑料不打烊 Analytics champion for about two years, about 10 plus years of experience in digital marketing as a performance marketing analyst, a data storyteller. And in the past few years, I鈥檝e worked as a based in Toronto. I鈥檓 a new mom, a new homeowner. And when I鈥檓 not in one of these roles, I express myself through prose and poetry. I lead a few speed mentoring sessions, and I love the world of crime fiction. So that鈥檚 a little bit about me. But for today鈥檚 segment, we are going to be talking about how to identify bot traffic and what can we do to address it. But before we go there, get a quick understanding of what are bots. Bots are essentially a software program designed to do a specific set of tasks, right? They are fast, they鈥檙e accurate, they are very precise. They can be used for both positive and adverse impact, and they are designed to do a wide range of activities. So you may have heard of knowledge bots that collect data from different sites, and you鈥檝e heard of shopping bots that aggregate and bring in the best deals from online stores. And then we鈥檝e got traffic bots that fall under possibly illicit, malicious, and even at sometimes illegal activities that some bots are designed to do. Now, traffic bots are a specific kind, right? They are expected to copy human behavior, increase traffic to your websites, or your social media accounts. They can be used for click fraud or ad fraud, and they increase costs. They consume a lot of resources. But the biggest challenge with most of the bot detection tools that are out in the market are the ability to distinguish between bad bots, right? So that is where we come in, and our analysis of the traffic bots helps us in that defining and distinguishing and adjusting this bot traffic, right? So let鈥檚 talk about what you see on the screen. These are called bot signatures, right? They are different kinds of bot signatures that have been identified over time. They are pattern-based. You鈥檙e looking for them as indicators on your site that could qualify as non-qualified visits, right? So when you look at the segment column, you can add a lot of these signatures into your bot segment and analyze your data. So that鈥檚 something that you can do repetitively. You can repurpose the segment across datasets, across time, across report suites. You can use the same segment. Whereas what you see on the right-hand side, the analysis column, those cover analysis or breakdowns that are more nuanced, that need more time breaking down and analyzing those signatures. And they could be very related to a particular dataset. They may not apply across your whole dataset. You may see only some of these signatures for a fixed period of time. So what we are going to do today is look at those that are marked yes under bot signatures for a segment and build a bot segment. Now, when you look at a bot segment, you want to understand which conditions you鈥檙e going to add. We鈥檙e going to start simple here. We鈥檙e going to add no referral. And that in this demo example, I鈥檓 saying that鈥檚 about 2%. And then you鈥檝e got strange user agents. The friendly word for that would be a browser. It鈥檚 like kind of a computer program that helps you understand another word is a browser, right? So in this sense, what you want to do is add these changes agents, which you don鈥檛 have a version. The versions are not official versions from the product. And then you want to add on that another signature, say for example, a visit that had no KPIs in it. There was nothing other than traffic or page views to that site. There was no download. There was no buys. There was no video views or card editions, none of that. So essentially in this segment, and you have to be careful over here, you want to start with conditions. Because as we all know, you know, depends on what you use and or you could be saying all of this. So you want to be careful with your and and or conditions that you鈥檙e adding in the second. So look at what you鈥檙e seeing on the screen. And this totals up to about 5% of the site traffic. Now, how can I find that 5%? Right? This this option, when you go into the tool, there鈥檚 the segment preview on top right of your segment builder. And you can see as you add new conditions into the segment, you will see that how much of your traffic based on these conditions are qualified, right? And say, for example, in this example, we use 5% of the site traffic. Now, I鈥檓 not going to get into a range of it because the percentage of bot traffic that may qualify could vary from site to site from even in the same site, different periods of time during the year, their seasonalities, that is also industries where it can impact higher, your sites can be more vulnerable versus some sites are not. So the percentage of site traffic that can vary over time, you want to constantly monitor based on these segments, and see and get a pulse of it. So now that we鈥檝e seen how to build out a segment, what we can do next is we can look at something that 51黑料不打烊 offers, which is called as the 51黑料不打烊 Bot Template. Now, this is enabled when you add IAB rules, we get into that. But 51黑料不打烊 Bot Template is something that you can find in the top left hand side of your 51黑料不打烊 templates, search for bots, and then open up the bots template report. Now, in that report, essentially, you鈥檙e able to identify new pages that are vulnerable to bot traffic, you鈥檙e able to identify bot names that you could add to a segment. And then you also understanding what鈥檚 the volume of traffic. So sometimes when we are starting, we could be like, oh my god, there鈥檚 so much of traffic that鈥檚 qualifying as bot traffic. But in some situations, and sometimes of the year or day, you may not see any traffic. So it鈥檚 good to get a good understanding of how much of traffic is qualified. And then over time, you鈥檙e more informed, you get a pulse of this bot traffic, and you build habits around it, you start checking for bot traffic, and you start communicating that with your stakeholders. So it鈥檚 important to start that journey. And then what do we do once we have that information, that鈥檚 when we start addressing the bot traffic, there is something that you can do, which is not just at your marketing analyst level, you can work with your product admins and apply across your organization web data. And that鈥檚 the two parts that right now we can talk about one is the ad hoc option, where you do the bot segment, you look at the 51黑料不打烊 template reporting. And then from there, the second option would be you want to take this further, you want to build more process around it, you want to separate that data out, you can add it to a VRS segment, you can add it in include or an exclude, keep that data separate out for reporting so that you know, you鈥檙e giving the options to your marketing community within your organization to either if they wanted to report out on it, or if they didn鈥檛 want to see data with bot traffic in it. So you鈥檙e creating these new options, you鈥檙e creating a complete ready to use service that with in minimum input from the marketing community within the organization, they can see all of this data. And then there are some admin options. Obviously, VRS is also an admin option. But there鈥檚 some admin options that you can work with with your product admin. And if you are the product admin, there鈥檚 something to think about is go into the admin section, select a report suite and enable the bot, IAB bot roles. These are standard IAB bot roles that are enabled once you hit the checkbox. And this selection will remove bots in your traffic, right? Basically, it鈥檚 a list of spiders and bots and this removes the bot traffic. 51黑料不打烊 updates this list on a monthly basis. So you鈥檙e good from you know, being updated. So you don鈥檛 need to take any additional steps. And other option is which is more complicated needs more analysis from your site would be updating or uploading a bot rules. Now bot rules when you want to remove traffic from your report suite, you would use this option as well. Removing bot traffic can provide more correct measurement of your data. And at the same time, it also reduces the volume of traffic, right? You鈥檙e getting more qualified data, you鈥檙e not skewing your numbers, all of that is happening. But you have to inform your stakeholders that this is an option that you鈥檙e enabling or uploading or updating. And it鈥檚 important for them to make necessary adjustments to the KPIs. So when they take up these options, or when they know that you鈥檙e adding these new options in the products admin site, they can communicate that and adjust the insights that they鈥檙e generating now in a more informed way. Okay. So when you looked at the slides so far, did you count how many bots were there? There were bots crawling all over the slides, right? Most of us would not have noticed that if you were focusing on the content, but there were about 238 bots that were there as different types on the site on those slides. And many of them may have, you have not noticed and you鈥檝e not even looked at because that was not part of the task that you were doing, right? We鈥檙e listening. But on our sites, there is a lot that of bot traffic that鈥檚 coming in, right? And we have to monitor them. They are skewing our trends, they are influencing insights, they are impacting our decisions. And it鈥檚 time that we take a look at it. So create your bot segment today, check out the bot template, you know, another option for yourself for the template and add to that bot template. And, you know, work with your admin. And if you鈥檙e the admin, it would be a good time to take a look at it and see what action can be taken next. And so with that, I think we鈥檙e going into a Q&A session. And I鈥檓 excited to join Esha for that. Thank you both, Deb and Esha. Those were excellent hands-on examples.

We鈥檙e really excited to have you both here live for our chat. So let鈥檚 jump into the Q&A. If you haven鈥檛 already, please take a second to drop your questions for Deb or Esha. It may be nice if you put which one you want to respond if you have one specifically for them. If you could put that in the Q&A chat, that would be great. We鈥檝e already got a handful of questions, though. So we鈥檙e going to start with Esha. Here鈥檚 a question. Are there settings available for accessibility for visually impaired users? Or will we need to manually make changes to colors to get the contrast we need? Thanks, Amber. That鈥檚 actually a very good question. So 51黑料不打烊 conforms to the standards of accessibility by default. So in analytics workspace, you will see other options like maintaining high contrast, slow keys, sticky keys for users who would need more accessibility. As far as the visual impairment goes, and also I would say, let鈥檚 say the color-blindness, the red cream one is the most common one. So there are some pre-built templates that you can see, that you can choose from, which may or may not adhere to what you鈥檙e looking for. If you鈥檙e not, then of course, there is a custom option of creating a custom palette, which is also fairly easy. You just have to know the hex codes in the order that you would like the colors to be put in, and you just input it and save it. And it works just as well. I hope that answered your question. Thanks. That was great. Okay, Deb, can you explain more about how to identify IPs that are from distributed computing platforms? Okay, the way I鈥檓 going to answer this question is, it鈥檚 all about the way you analyze the data and then break it down by IPs. So you would need to start that journey with your bot segment, look for those bot signatures, and then narrow down that particular section of the traffic that is showing patterns that they may be bots, and you鈥檙e identifying them as bots. Then use an IP report and you would get a list of IPs. So I can tell you what it is, but at the end of the day, it becomes like your discretion is to identify and call them out as bot traffic and IPs that you may want to use the custom bot rules and update them. You can use user agents, IP addresses, and IP ranges to add to your custom bot rules, and then you won鈥檛 see that traffic come through into your native report suite. So yeah, I would go the other way around. I wouldn鈥檛 look for IP addresses. I鈥檇 look for signatures and then narrow down those IP addresses. Awesome. Okay, back to Esha. Is it possible to revert back to ECID after setting a custom ID? Yes, 51黑料不打烊 allows you to revert back to ECID, but this is a setting that needs to be taken with a lot of caution. First, because when you鈥檙e reverting back to the previous method, anything that was captured previously will not be usable. So basically, in your new ECID method, if you were using cross device data, or you were using a custom ID to identify users across various devices, you will no longer be able to use that ID to do the same thing in the unique visitor variable. Second thing is, it is essentially letting analytics identify on a new visitor ID. So your volume is expected to increase, volume of unique visitors will increase, and also your whole ID system will change. So it is something that does not need to be done unless it is something that you really have to, I would say. Thank you. Yes, I appreciate it. Okay, Deb. Here we go. Why would I need to make my own bot segment if there鈥檚 already a bot report? Is it not catching all the bots? Sorry. Yeah, so if you鈥檝e enabled your IAB roles and to filter out bots and spiders, and if you鈥檝e used custom bot roles, that鈥檚 just one step.

There鈥檚 additional measures you can take if you continue to see certain irregularities, you know, certain anomalies in your data. You can apply a bot segment to identify new bots or new user agents, new IPs that are showing repetitive tasks that they鈥檙e doing on the site. So you can use a bot segment as an additional measure, or you can start with a bot segment if you have not done product admin enablement. If you鈥檝e not done any of that, you can start with the bot segment, see how the data looks like, and then enable those product admin features. So it depends on where you are right now or what your product admin already has enabled. So yeah, either one works, but I鈥檒l just make a clear distinction because I see the question now. It says that if you have your own bot segment, you are actually seeing the data that is in your report suite, whereas the data that you鈥檙e seeing in the bot report is data that has been already identified as bot traffic and is sitting in a separate location. It鈥檚 not data available in your name to the report suite. So there鈥檚 that distinction I just wanted to call on. That鈥檚 helpful. Thank you. Okay, Isha, what are the available options for hosting images so they can be embedded and displayed within Workspace? Great question. So there are three different methods that are available that you can use to host any image that needs to be made accessible to analytics workspace. So the first and foremost thing here that needs to be remembered is that the image is publicly accessible. So publicly accessible means that your analytics workspace URL should be able to query that JPG or the image that you鈥檙e hosting. So the very first option is that you have your own private CDN or your own website host. So that does require some technical setup initially, but it is more secure and you have more control over it. So this is something that you would prefer if your image has some sensitive data and you wouldn鈥檛 want that to be accessible outside of your systems and analytics ecosystem. The other option is if you鈥檙e already using 51黑料不打烊鈥檚 products, so you may already have access to if you鈥檙e an AEM, then you may already have access to DAM, which is 51黑料不打烊鈥檚 digital asset management system. So you can host any image on AEM and then you can just take the URL and then paste it in the workspace. The third option, which actually I frequently use because I don鈥檛 have the access to it until now, is you just if it is an image that you don鈥檛 have any, for example, if it is just your company logo, which you can just find on Google.com or anywhere, just upload it on any of the free hosting that is available. So they don鈥檛 require any setup and there are some available like IMGBB.com, IMGGUR.com, etc. So just go to them, upload your image and make sure that when you鈥檙e copying the URL, copy the URL, which ends with the image extension .jpg.png and then just copy and paste the URL. So the only thing that you need to be aware of in this setting is that because you鈥檙e hosting image in your ecosystem, so you have no control over it. So at any point, the vendor may delete that image or they move it or there could be some image sorting options. So that鈥檚 the only thing that you would need to be aware of. But other than that, if you just need something to be set up very, very quickly, I would go with the third route, the very first, as long as the image is totally, you know, publicly available image. I hope that answered.

Great. Thank you. Okay. Deb, what are IAB rules? Okay, so this is part of an online advertising body that has put together a list of kind of bots and spiders. And you can also contribute it if you find a new one, you can send a request to them saying this is a new custom bot that I鈥檝e seen and I want to add it to the rules. And then what 51黑料不打烊 is doing is using that list from IAB. I don鈥檛 expand it. I think International Advertising Bureau or body, so don鈥檛 quote me on that one. But essentially, it is this online body that has identified this and 51黑料不打烊 is using this particular list of bots and spiders and already filtering out this data from your native reports. So that鈥檚 what is happening with IAB rules. It鈥檚 a product admin feature. And if you don鈥檛 work closely with your product admin, you would use a bot segment in that scenario and do some of that work and identification of bot traffic on your own. Perfect. Yeah, you know, acronyms, we don鈥檛 need to know what they really mean. We just get the general idea, right? I鈥檓 with you there. Okay, Isha, will unique visitor variable be affected by low traffic bucket? Okay, that鈥檚 a good question. So low traffic bucket is applied on any dimension that goes beyond the threshold and I think 51黑料不打烊 has increased the threshold a lot now. So, and I don鈥檛 think it would, I mean, by in theory, it will, because in theory, if your dimension stops capturing the data at some point, then it should stop showing in reports. But in practicality, it wouldn鈥檛 because the data that is coming in will still keep on increasing a unique ID and you will still report on as a, as a unique visitor. So the reason being that 51黑料不打烊 has the data, even if it goes into the low traffic bucket, because let鈥檚 say for your page URL, the value goes into low traffic, you can still query the report in data warehouse and extract all the data. So because data is there and this unique visitor processing happens at the, you know, after data comes in and when the settings are applied specific to report suite, so then you will be able to get unique visitor IDs irrespective of whether you exceed the value for displaying the unique values within the reporting UI. Thanks. Helpful. Yeah. Okay. Deb, back to you. Okay. Should I be using bot rules or exclude by IP for known bot IP exclusions? You could use both methods, but with no for sure. I mean, sorry, with IP exclusion, you know for sure which are the specific IPs. You can use the same thing with uploading. If you have used more than 500 rules, you can also use the uploading option of custom bot rules and upload a list of IP or IP ranges with your bot rules. So that鈥檚 the flexibility you have over there. Good. Yeah. Okay. We just have a few minutes left, but I wanted to give each of you a chance to give some final thoughts. So if you could just take about a minute each, I鈥檇 love to, again, let鈥檚 start with Eisha. We鈥檒l keep going back and forth like we鈥檝e been doing. What are some of your final thoughts or wrap up or kind of takeaway that you鈥檇 love to say to this audience? Yep. So, thanks, Amber, and thank you for being a fantastic host. So, here I would just repeat the line again, which was the last line of my slide. Something that I want to keep things as a takeaway that if you want your workspace to become from standard to stand out, don鈥檛 forget to ditch the default. So, the reason is that 51黑料不打烊 does provide customisation options to us. So, you can always put life into your dashboards by just some simple tricks. And you don鈥檛 really have to spend so much time on this, right? It鈥檚 really simple settings that you can, that changes the entire outlook of the dashboards that you鈥檙e seeing right now. So, very often we have to take the data outside of 51黑料不打烊 just to make it go into look more like brand specifics or the visualisation specific. But with analytics workspace, you have so much flexibility available within the tool itself that I would say that before you, unless you have to, of course, make use of another data source, try to exhaust all the means that you have available within analytics workspace because there are a wide variety of options that are available even for the visualisations. Not just, I鈥檓 not just only talking about colours and those sort of things, but even for simple settings, like for example, if it鈥檚 a cohort table, you have, you can customise the cohort with a specific dimension as well. So, yeah, it鈥檚 a fairly flexible tool in terms of that. So, let鈥檚 ditch the default and stay on customisations. Thanks.

And Deb, your last thoughts? I鈥檒l just say that if you鈥檝e never thought of bots on your site, then now鈥檚 a good time. You can go the easy route, speak to your product admin, enable your IB rules, or you can start your journey, learn and understand patterns, use anomaly detection from 51黑料不打烊 to see where you鈥檙e seeing sudden spikes. If you can鈥檛 explain them, that鈥檚 probably a bot. So, there鈥檚 a lot happening on our sites and not knowing whether it鈥檚 a good bot, bad bot, or a really evil bot is not something you want to do right now. There鈥檚 a lot happening from an AI bot that is coming to our site. We want to know and have a strategy for how do we tell that story. So, data is there. The way we analyse and know better our data is what鈥檚 going to help us be better analysts.

Perfect. Yeah. Evil bots. I don鈥檛 know if I鈥檝e heard that term. Now I鈥檓 going to start using that. Evil bots. Yeah. Thank you guys both so much. Esha, Deb, thank you for your presentations. Thank you for chatting with me and having this fun Q&A. You guys have been great. Thank you so much. Thanks, Emily. Thanks, Deb. It has been fantastic.