Abhishek Rathod

Hi, my name is Abhishek Rathore, and I'm from Hyderabad. Overall, I have around eight years of experience in the digital world. So I started working as an associate with Wipro for the client Google. So I used to handle Google clients according to Google's policy guidelines. I would approve and discipline those ads, which is a kind of trust and safety process. I spent about one year there. Then I got into Meta through Accenture. I worked for Meta's location in Hyderabad as a client surveyor. My work involved working on three different products of Meta. I started working as a business product specialist, where I would handle clients onboarding new to Meta and provide insights about campaign implementation, budget allocation, and everything. Then I got into pixel implementation as a measurement analyst, where I would hand over clients to if they wanted to implement their measurement analysis and pixel implementation, as well as GA4 analysis to their websites, including Shopify websites and WooCommerce websites. After that, I became a quality analyst for the same role, where I would quality-check all the tag implementations I'd done through pixel and all. And, I also worked with Lucas Fluid, which provides GA4 analysis, and I would just check and quality-check from my end. After that, I became a knowledge management specialist, where I would create knowledge-based articles on how to implement measurement attribution for Shopify, Meta ads, and third-party implementation, which could be helpful to clients. So, yeah, I have worked with Meta's clients. After that, I got into Google Operations Center as a full-time employee of Google, where I would handle platinum and gold clients. I would implement their technical support, including GTM and GA4 analysis to the clients. If they wanted to onboard Google products, I would assist with that, creation of their custom websites, building variables, new tags, and everything, as well as analyzing their website performance and everything I would support to the client. So, that's about my experience in Google, and I got laid off within one year. And after that, I got an opportunity again with the client Google through Cognizant, where I became a subject matter expert and technical specialist. I would handle complex data for the clients, and under me, there were 23 associates who couldn't do it from there. I would assist them and also handle higher-budget clients. They would want to know the data and needs of their website performance and ads campaigns. So, yeah, that's about my experience with Cognizant. Then I got an opportunity with a software solution in Hyderabad. So, there, I worked as a corporate basis for six months, where I worked with a US client, AKIA. I, along with one of my colleagues, implemented the tag implementation of each event tag for the client's websites and provided GA4 analysis for the website, as well as custom websites. And, I have got more than 20 plus websites for my clients. And, yeah, recently it got completed in the 12th of January. I'm now looking for a new opportunity.

How would I troubleshoot discrepancy between GA 4 data and reported conversion in Google Ads? So, I would basically, do more into, what we'll call, first, I'll just implement on how the tracking is set up to that website and ensure the ads conversion tracking tag is implemented correctly and the proper placements of the tags to all the pages has been correctly implemented. Then, for the conversion actions, reviewing conversion settings in the Google Ads, like counting to ensure the correct counting method is selected. For example, per click, per conversion, something like that. And then attribution, checking attribution model, how the attribution has been set to the clicks and all. After that, data discrepancy checks are more into how the definition of conversion across all the platforms, how the Google Ads and the website is implemented, discrepancies, and how the conversions can lead to the significant load. Firstly, data matching, checking for any discrepancies in how the customer's ID and other unique identifiers matching can prevent accurate cross-platform attribution. And for the data source, I can say that in investigation of potential data source will go into using up-to-date data feeds or any data quality issues, something like missing data, incorrect data. Those are the things, and thirdly, I can say that identify potential sources of this discrepancy, like conversion lag time between clicks and conversions and cross-device conversion. If there are users doing ads on one device and converting on another, this can be a potential issue. Also, browser and device issues from users and third-party tools for conversion tracking or data integration can be potential discrepancies.

How would you use structured data to manage complex ecommerce flow? For example, to understand what structured data is, I would go to enhancement search and enhance search visibility, like rich snippets and structured data flows, which allow search engines to understand more content better. And, this template can include product images or any other making of the website, which can be helpful for that. And, then I can say that improved search ranking, which also makes the ecommerce look better, which can be a clear ranking factor providing clear and accurate information to search engines and enhanced user experience, which also gives a flow of 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 from my end.

Client reports that our 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 clients, Shopify client reporting GA for purchase events aren't matching. So in that case, like, this report analysis, the performance of Shopify, such as campaigns or investigations. So first, the campaign performance over here, what are the KPIs, clicks, impressions, and all the things we can gather. And, in the Shopify, I can see that conversion data relocation, which also helps describe the issues, like the process to compare Google Ads conversion with website data. And what I can say more on that, reporting reports there. These are the main things I've already mentioned in sales, but there would be some lag between when we implement any third-party tools in Shopify inside it, so it might also cause discrepancies with the GA 4. So if we implement direct GA 4 to the shop website, it should give proper data, but there might be some discrepancies in sales, not much discrepancy. We can segregate between both things.

How would you integrate a paid media platform with an ecommerce platform like Shopify or WordPress? Okay. So, on the integration part of this paid media, most of the things, such as search engines or any social media platform, to set clear campaign goals, like what's the KPI for increased website traffic or boost any brand or sales. Anything integration tracking and for Google, installing conversion tracking pixels, which also might integrate into the paid media, and into ecommerce, connect with our ecommerce platform, Shopify, WooCommerce, or Magento, etcetera, with our chosen paid media. This allows automated product feeds and also dynamic retargeting shows ads to users who have previously visited our website. Like, it's also creating compelling ads with strong visibility, which makes these things. And optimization also gives much into the paid media. And integration of ecommerce in Shopify is very good for the ecommerce site. But I have worked with connected paid media. Like, we can connect all products in one place in Google Ads as well as in Shopify. But I would like to implement both things by adding new plugins to the Shopify website for Google platform products or also Facebook platform products. Yeah. Those are both.