Abhishek Rathod

Hi. Uh, my name is Abhishek Rathore. I'm from Hyderabad. Uh, overall, I'm having around, like, 8 years of experience into digital world. So I started working as an associate with the Wipro, uh, for the client Google. So I used to handle Google clients as per the policy guidelines of Google. I will be approving and, uh, discipline those ads. It's a kind of trust and safety process. I spent around, like, 1 year. Uh, then I got into Meta through Accenture. I used to work for Meta location in Hyderabad as a client survey. So my work is, like, uh, I work for, like, 3 different products of Meta, uh, products of Meta. Like, I started working as a business product specialist where I used to, uh, handle clients on, uh, onboard new to the, uh, meta and provide insights about the campaign implementation, budget allocation, everything. Uh, then I got into, uh, pixel implementation as a measurement analyst where I used to hand in the clients later to if they want to, uh, implement their measurement analysis and pixel implementation and also g a four analysis to their websites and everything, Shopify websites and WooCommerce website. Uh, after that, I became quality analyst for the same rule where I used to, uh, quality check all the tag implementation, which I've done, uh, through pixel and all. And, uh, the, uh, Lucas Fluid, which have, uh, GA4 analysis and Lucas Fluid, they have provided. I'll just check and quality, uh, quality check from my end. After that, I became knowledge management specialist where I used to create knowledge based articles, uh, for how to implement, uh, this measurement attribution for Shopify, uh, meta ads, and third party implementation, which can be helpful to the clients. So, yeah, I have, uh, worked with those clients, uh, of Meta. Uh, after that, I got into Google Operations Center as a full time employee of Google, uh, where I used to handle platinum and gold clients where I used to implement their, uh, technical support as an, uh, GTM and GA 4 analysis to the clients. Uh, if they want to come to onboard the Google products, I'll be assisting on, uh, those things, uh, creation of their custom websites and uh, like, building variables, new tags, everything, and also, uh, like, a GFR analyzed to their website performance, everything I'll be supporting to the client. So that's about my experience in Google, and I got laid off within 1 year. And after that, I, uh, got opportunity again with the client Google through Cognizant, where I became an subject matter expert and a technical specialist where I used to, uh, handle complex data of the clients, And under me, there are, like, 22, 22, 22, 22, 23, uh, associates works under me. They are unable to do it from there. I'll be assisting to them and also and handle the higher budget clients. They have they want to know the data and needs of their website performance and ads campaign. So, yeah, that's about my experience with Cognizant. Then I after that, I got opportunity with the, uh, software solution as in it is in Hyderabad. So there, I work as an corporate basis for 6 months, uh, where I, uh, work with a client, a US client, AKIA. Uh, I, like, I and one of my, uh, colleague has implemented from scratch the tag implementation of the each event tags for the requirement of the websites and the GA four analysis for the website and also provided with the custom websites. And, um, I have got more than 20 plus websites, uh, to my clients. And, uh, yeah, recently it got completed, uh, in the month of this, uh, this month, 12th Jan. Yeah. I'm now I'm looking for a new opportunity.

Okay. How would how would you troubleshoot discrepancy between GA 4 data and reported conversion in Google Ads? Okay. So, uh, for that, may basically, I used to, uh, uh, do I used to do, like, more into, like, what we'll call, uh, like, uh, like, first, I'll just implement on how the, uh, tracking is, uh, uh, like, set up to that website and, uh, uh, what we call that, uh, ensure the ads conversion tracking, uh, tag is implemented correctly and the proper placements of the tags to all the pages has been correctly implemented. Then, uh, for the conversion actions, uh, reviewing, uh, like, conversion setting in the Google Ads, like, uh, what you call it, counting to ensure the correct counting method is selected. For example, 1, uh, per click, 1 per conversion, something like that. And then attribution, uh, checking attribution model, how the attribution has been set to the clicks and all. And, uh, after that, like, data, uh, discrepancy checks is more into, like, how the what we call that, uh, definition, like, conversion across all the platforms, how the Google Ads and, uh, how the, uh, website is implemented, discrepancies, and how the conversions can lead to the significant load. Firstly, data matching, like, uh, checking for any discrepancies in how the customer's, uh, ID and other unique, uh, what we call that, identifiers matching can, uh, prevent accurate, uh, cross platform attribution. And, uh, for the data source, I can say that in, like, investigation of potential data source will go into, like, using up to date data feeds or any, uh, data quality issues, something like missing data, incorrect data. Those are the and, uh, and third thing is, uh, I can say that, uh, identify potential source of this distancing, like conversion lag, uh, like, lag time between clicks and conversions and, uh, cross device conversion. Like, if there are some users are doing ads or device on converting, uh, with another, uh, device, uh, this can be sometimes a lead at, you know, like, this would be the, 1 of the things and, uh, browsers and the devices issue from the users. And also for the third party, like, if anyone using third party, uh, like, uh, like, we are using any third party tools for conversion tracking or data integration. Like, those would be the 1 of the, uh, potential, uh, uh, like, uh, discrepancies we can find it. And, uh, yeah, those are the things, uh, which I can, uh, provide on that discrepancy between GA 4 and data.

How would, uh, use structured data, like, to manage complex ecommerce flow? For it's okay. So for, uh, understanding what is, like, structured data, like, uh, 1st, I'll go to, like, enhancement search, enhance the search visibility, like, uh, rich, um, snippets, structured data flows, allows search engines to understand more content better. And, uh, like, uh, uh, this templates can include product images or, uh, any making of the website, which can be helpful for that, uh, things. And, uh, then I can say that, uh, improved search ranking, which all which also, uh, makes the ecommerce look better, which can be, like, clear ranking, uh, factor providing clear and accurate information to search engines and enhanced user experience, which also gives a, uh, flow of the, uh, data, uh, data to manage on ecommerce. And, also, yeah, those are the main things I can specify and offer to highlight. Yeah. Those are the things I can highlight on from my end.

Client reports that j four performance conversion aren't matching their website or Shopify sales data. Describe the exact steps you'd be taking to identify the problem. Okay. So, uh, like, clients, uh, Shopify client reporting GA for purchase events aren't matching. So in that case, like, uh, this report analysis, uh, performance of Shopify, such as, like, for campaigns or investigation. So first, the campaign performance over here, like, what are the KPIs clicks, uh, impressions, uh, and all the things we can be gathered. And, uh, in the Shopify, I can see that conversion data relocation, which also help for Metro, uh, describing the, uh, issues, like the the process to compare Google Ads conversion with the data website. And, um, what, like, what I can say more on that, uh, reporting reports there. Um, These are the mainly things which I already mentioned in the sales, but there would be some lagging in between when we implement any third party, uh, tools in Shopify, uh, inside it. So it might also cause the discrepancy, uh, with the GA 4. So if we implement direct GA 4 to the shop website, it it should also give the, uh, proper, um, data, but it might be there will be some, uh, discrepancies in the sales, not much discrepancy. We can segregate in between in between both both the things.

How would, uh, you integrate a paid media platform with ecommerce platform like Shopify or WordPress? Share all possibilities. Okay. So, uh, on integration part on integration part of this paid media, most of the things like search engine or any social media platform and any and, like, to set clear, uh, campaign goals, like, what's, uh, what's the KPI for increased website traffic or boost any brand or any, uh, sales, anything integration tracking and, uh, like, for Google, uh, installing conversion tracking pixels, which also might give the, uh, like, integrate, uh, like, use up, uh, like, into the paid media, what we call it in Google or Facebook, and, uh, into ecommerce, like, connect with our ecommerce platform, Shopify, Google, Ocommerce, or Magneto, etcetera, with our chosen, uh, like, paid media. This allows, like, automated product fit easily and also dynamic retargeting shows the ads to the users who have already previously visited or visited to our website. Like, uh, it's also create, uh, uh, compelling ads, like, a strong visibility, which also makes, uh, then then then these are the things. And optimization also gives, uh, very much into the this thing of, uh, paid media. And, uh, integration of ecommerce, uh, in Shopify is very good for the ecommerce site. But, uh, I I like I have worked with connected, uh, connecting this, uh, paid media. Uh, like, we can, uh, connect all the products in at one place in Google Ads as well as in Shopify. But, uh, I would I like, uh, we can, uh, implement both both the things, uh, by adding any new plug ins to the, uh, Shopify website for Google, uh, platform products or also, uh, Facebook platform products. Yeah. Those those are both.