Anshid Babu

Yeah. Hi. Myself, I working as a, senior SEO and web analytics strategist at, Webtoon Technologies. So I have around, 5.8 years of experience in the same domain, especially in SEO and the analytics. So I got an opportunity to work with various companies including multinational company. So, yeah, mostly, I found I have a good expertise in, you know, tools like, Google Analytics, Google Tag Manager, and AB testing tools and visualization tools like Lucas Studio and, mostly, you know, that analysis tool like, big BigQuery as well. Yeah.

Yeah. Mostly, I do follow a lot of blogs, especially, Simo Hawaha's blogs and, which I think is the pioneer of, digital analytics and digital marketing. And, so I follow, Julius analytics mania for, you know, updating my skill sets and, other blogs like, measure school by Julius. And yeah. So these are the main blogs and blogs I'm following for updating my, detail analytics skills. But also to understand the other things like, Google SEO, I mostly, follow, search engine land and, search engine journal. Mostly, I follow those blogs for, latest Google's update and Google app core update and latest news about the Google algorithm update, everything. Yeah.

Yeah. So, we have to analyze, data from multi sources to understand the, you know, trends and we all know that, no data is 100% accurate. So sometime we have to analyze. For example, if you ask me, I would say, if I have 2 analytics tools, like, for example, Amplitude or Google Analytics. So, what I want to do means I know both tools are performing well, but, to make sure, I have to track website data using both tools. So, then we understand the discrepancy, then we can later analyze why it is happening and what is the reason behind that. So yeah. so mostly, we have to analyze data from multiple sources. So, mostly, I use tools like, Fluker Studio So we can connect various multiple data sources, and we can even blend the data, and we can analyze how it is performing. You know, for example, in if you ask me about organic level of marketing, then, we can connect Google Search Console to the local studio. And at the same time, we can connect Google Analytics. And we can, we can analyze how data is performing. I mean, what are the, number of users or sessions we are getting, through, you know, we can analyze through both platforms, and we can blend the bat and we can analyze. So yeah. So mostly, you can use, Lucas Studio for that. And along with Lucas Studio, if we if we if we have a deep analysis, dependence of raw data, we can use, BigQuery as well. Yeah.

To understand, audience insights, like I said, mostly, we are using we can use, Google Analytics to measure and track the performant to track the performance of the users. And, along with, along with, the Google Analytics, we can we have to use, you know, tag management tool like TDM or Google Tag Manager so we can track all the interactions and the journey of the users, and we can send data to the DFO Oracle Analytics. And after that, we can we can, we can do a visualization using tools like, Fluker Studio or Power BI. And once we once we understand the, pattern or understand the journey or behavior of the user, we can create, various audiences audience group based around this, based around their interaction, and we can later use it for retargeting or remarketing for campaigns through social media or, you know, paid campaigns. And, also, the most, useful insights, I would say, if we if we found, you know, good insights about the users and their interest on our product or service. And based on their interaction, we can we can create, you know, customized banners or customized headings using AB testing tools. So later on, we can target them, based around these personalized messages, like, personalized, once they are coming to our, web page, and they can see personalized heading, a personalized call to action, compared to regular users. So yeah. So these are the main tools we can use to get, audience insights.

Yeah. The so the main segmentation approach is, like, the general segmentation approach. We can do, segmentation segmented users maybe, like, by default, tools like Google Analytics for are automatically segmenting users, like organic, social, paid, etcetera. But, also, we can, for example, if it is a ecommerce website, I would say we can, we can segment each journey of the users as separate segments. For example, if a user have viewed the list of items, we can create a segment for that. And if a user interacted with a particular item, we can create a segment based on that. And once a user has added that at I mean, item to the cart, we can, we can create the segment, how many users have added, items to the cart, and also, say, we can we can create how many users have removed from the cart, how many people have added the billing information. So, yeah, we can we can create a separate segments based on the user journey. these are example for ecommerce. And later on, we can, we can, we can target these segments, for retargeting purpose. So, AB testing purpose. Like I said, we can show the personalized message to these segmented users. So yeah. So, mostly, I would segment users in, I'll create a separate audiences. So that's the main, segmentation approach I'm creating. Also, I would, create separate, reports in Google Analytics for Explorer. So, yeah, we can understand the, you know, behavior of the users based on these segments. So these are the main strategy.

so here, the term market analysis is so broad. So, I don't think I can I can answer very quickly because market analysis is a broad term? So we can defend it in various ways. So, yeah. Okay. I would define in 1 way. So market analysis basically includes, a lot of things, mainly, competition analysis. So suppose in, before we starting any before we are launching any project, what we do means we are, analyzing and, to understand what the latest trends they are using, how updated how they are updated compared to us, settings. So, that is 1 approach in a if it is a SEO or so. So we have to do market analysis, like, competitive analysis, how, and understand the gap, of how website compare to the competitors. So and we can we can identify our, keyword gap, content gap, backlink gap, lot of things, in terms of SEO. And other thing is, like, SWOT analysis. We can do a SWOT analysis, and we can understand the strength, weakness, and, other thing, opportunity task, everything compared to the common details. So that is, that's another approach SWOT analysis. So yeah. so these are the main approaches.

To determine which channel are most effective on for a client campaign. So, we can, we can, analyze it based on the key events, so number of conversion. So once we set up a goals before launching any campaign, and, we can track the conversion. And based on the conversion, we can understand, and these campaigns are performing well. So first of all, we have to set a number of goals, important goals that we want to, you know, target from any campaign, whether it's paid campaign or organic campaign. And, after the after once we launch the campaign, then we after 30 days or 45 days, we have to analyze the results. So, basically, based on this number, based on number of, conversion, We can understand, which channel, performing well, and we can do even comparison how they are performing over to month, over year, like that. So and, also, if it is a paid campaign, we can, we can analyze the pricing and all in 1 we have to connect it with the GFO. So we can, we can understand which keywords are performing well, which keywords are generating more revenue, and which campaigns are, you know, losing money and not performing well. All these data, we can analyze in a GFO. So, yeah, mostly, based on the conversion, we can understand which campaign are performing well. And if it is an ecommerce website, based on driving, we can understand based on the return on investment. We can understand, which can be not performable and where we have to, you know, where we have to invest, more money in, or more budget in coming or coming quarter or something based on that. So mostly, I determine all these, handlers, all these, using GA4 reports. Yeah.

Yeah. So, yeah, so mostly, the main challenging digital campaign that we are facing is, sometimes the tools are not, brilliant enough to track or identify, you know, or, attribute the credit. Basically, they are not most of the tools are not intelligent enough to attribute the credit of conversion, even, GA4 also. So I would say 1 example. So we have a lot of, we have different attribution model for campaigns. So based on that, we are, the tool are giving the credit, to the, you know, user. For example, if it is a if we have set it set up, it's a, last click or first click, attribution model setup, Then, once a user came to came to our website through campaign. So based on the last click, the here for our any other tool understand, the users, the user is coming from a particular channel. For example, if it is a paid channel, the user coming from paid channel, the tool will give you know, attribute the credit to the paid channel campaign because the user is coming from paid scan campaign. But, also, there's a chance if user had came to our website initially through organic search, and after 2 days, the user came using, you know, paid campaigns. So still the credit is given to the, if you have set it up by last week, still the credit is has given to the, last, interactive channel. So that is 1 thing. In the on the other hand, if it is a we if we set it up on the first click attribution model, you know, so no matter from where the user have converted, always the credit will given to the, 1st channel. I mean, the very first channel the user interacted with the website. So, yeah, so there are different, attribution models out there. So even Google recommended, that driven attribution model. So it uses its AI intelligence to give the credit based around user interaction. So still, for example, if a user has initially interacted with our website through our, you know, social media page, but, later on, the user has came to the website through any paid campaign or organic met organic channel and, made up first days. So we give conversion to either, you know, paid campaign or can't matter. But the user actually interacted with our website or user came to know about our website through our social media page. So, yeah, as of now, we don't have enough, feature to pack that. So yeah. Yeah. I think that's the main challenge.

multi territory digital index project. A multiterritory digital interest project. I don't understand the question. So multi directory digitization project names. Oh, I'm sorry. I didn't I didn't get that this way.

So yeah. So we have a lot of traditional data sources to gain consumer insight like, UTM parameters we have, and we have various, tracking tools like, Google Tag Google Analytics, Adobe Analytics, Pro and all. So if you ask me, non traditional data source or JAR also we have, but it is a traditional data source. So, nontraditional data source, what I have used to gain consumer insight, If it is more, if it is a more, you know, SaaS based project or website, I would say Mixpanel. So I use Mixpanel. It is it has a lot of wide feature to analyze, you know, user behavior compared to the, Google Analytics or Payvig Pro. So that is a good option for SaaS. And, also, I would say Amplitude. Amplitude is a good option. It also, deliver a lot of data, a lot of insights. I will come back to the regular tools. So, yeah, I would say miss panel and amplitude.