Hire the Best Mixpanel Specialists

Your Meta says 40 purchases. GA4 says 28. Your store says 19. Which number do you trust when you decide where to put the next $1,000? I'm a conversion tracking and attribution specialist, and I got here the hard way: I build and run my own ecommerce stores. When the numbers are your own revenue, you can't hand-wave tracking, you have to make it actually work. That's why I know this cold, not from a course, but from fixing it on a live store taking real orders. That gap between platforms isn't a rounding error. It's iOS, ad blockers, cookie consent and browser-only pixels quietly dropping events, so ad platforms optimize on bad data and your ROAS looks worse than it is. I fix it at the source. What I do: - Meta Pixel + Conversions API (CAPI) with shared event_id deduplication. I built this from scratch as a custom mu-plugin on my own live WooCommerce store: browser and server events fire together, deduplicated, so Meta counts each sale once and optimizes on clean data - GA4 setup, audits, and "why don't these numbers match" reconciliation across Meta, GA4 and your store - Google Tag Manager and server-side GTM (Stape) - Google Ads conversion tracking and Enhanced Conversions - Consent mode and GDPR-compliant tracking that still recovers signal - Ecommerce, lead, form and call attribution Because I also build the stores, I see the whole picture, not just the tag: Shopify and WooCommerce development, conversion-focused redesigns, mobile speed and Core Web Vitals, and Klaviyo email flows. So when I fix your tracking, I understand the storefront it runs on. Why trust a cold profile: my proof isn't a slide deck, it's the live store I built and track myself, where the tracking and the storefront both have to work because it's my money on the line. I'm not learning CAPI on your account. I already shipped it on mine. Send me your store URL and what's bugging you about your numbers, and I'll reply with a short, free read on the first thing I'd fix and how I'd verify it, before you commit to anything.

Data Architect | Full-Stack Attribution: Segment ➔ Appsflyer ➔ Mixpanel ➔ BigQuery ➔ Looker Studio I architect end-to-end data pipelines that turn fragmented user interactions into a single source of truth. My expertise lies in the technical implementation of the Modern Data Stack, moving beyond basic tracking to building robust ETL/ELT workflows. Core Technical Workflow: Data Collection & Orchestration: Full-stack Segment implementation (Protocols & Functions) to centralize data streams from web and mobile. Mobile Attribution: Expert AppsFlyer configuration, including SDK event mapping, OneLink smart scripts, and cost-aggregation. Behavioral Analytics: Advanced tracking in Mixpanel and Amplitude to monitor complex conversion funnels, retention cohorts, and user journeys. Data Warehousing: Automating data pipelines from Segment/Mixpanel into BigQuery for advanced modeling and long-term storage. Visualization: Engineering high-fidelity Looker Studio dashboards that sync directly with BigQuery to track CAC, ROAS, and LTV. By bridging the gap between raw tracking and warehouse-level reporting, I ensure your marketing spend on Google Ads and Meta Ads is backed by 100% accurate, multi-touch attribution.

Your GA4 numbers don't match your ad platforms. Conversion events fire twice, or not at all. And every month someone rebuilds the same dashboard by hand because last month's stopped being believable. The tracking underneath is broken, so nothing built on top of it can be trusted, and you're left guessing which number to spend against. I fix the whole chain, end to end: from the tag firing on your site, to the BigQuery pipeline that cleans and unifies the data, to the dashboard your team makes decisions on. I'm an Analytics Engineer who builds the data engineering layer (automated pipelines, BigQuery modeling, BI) on top of deep, hands-on tracking implementation roots. That combination is the point. Because I own both the server-side tracking and the pipelines it feeds, the data stays coherent the whole way down, with no hand-offs between three specialists who each blame the other when the numbers don't add up. I work almost exclusively with e-commerce brands and marketing, growth, and advertising agencies (white-label welcome). I speak ROAS, MER, CAC, and LTV, so you tell me the business goal, not the technical spec. --- What I build Marketing & e-commerce data pipelines (GCP / BigQuery), the core of what I do: - Automated ETL/ELT from GA4, Shopify, ad platforms (Meta, Google, TikTok), and CRM into BigQuery - Ingestion via Python, dbt, Fivetran, Stitch, or the GA4 native BigQuery export - BigQuery data modeling: staging, intermediate, and mart layers, partitioning, clustering, incremental models - Data cleaning, normalization, deduplication, and identity stitching across sources - Orchestration and scheduling on GCP: Cloud Run, Cloud Functions, Pub/Sub, Cloud Scheduler - Cost optimization, query tuning and table design so the warehouse scales without surprising your bill - Deliverables: automated pipeline, single source of truth in BigQuery, attribution-ready datasets, documented and modeled tables refreshed on schedule, a warehouse your next analyst can actually read Tracking & analytics implementation, the foundation the data depends on: - GA4: advanced e-commerce, custom events, funnels, attribution-ready data layer - Google Tag Manager, client-side and server-side (Stape or GCP) - Conversion APIs: Meta CAPI, TikTok Events API, Google Ads enhanced conversions, Snapchat, LinkedIn - Client-to-server migration to recover conversions lost to iOS, ITP, and ad blockers - Consent Mode v2 and CMP setup (OneTrust, Usercentrics), first-party capture, hashing, deduplication - dataLayer, JavaScript, and DOM work for custom event tracking - Deliverables: documented tracking plan, validated event and conversion setup, tag and trigger audit, numbers that reconcile across platforms BI & reporting, the part your team actually looks at: - Looker Studio dashboards powered by BigQuery (Power BI / Tableau / Metabase on request) - Revenue analytics, channel performance, funnels, ROAS/CAC/LTV scorecards - Automated SQL transformations and scheduled workflows, no manual monthly rebuilds - Deliverables: CEO-ready dashboard, automated refresh, documentation your team can follow --- Why clients hire me: I combine data engineering, analytics implementation, and BI automation into one workflow. Instead of isolated dashboards or pipelines built on shaky tracking, you get a full-stack, maintainable, accurate data system, with one person accountable from the tag on your site to the number on the dashboard. Agencies can put me behind their own client work: on calls if you want me there, invisible if you don't. Certifications: - Google Cloud Professional Data Engineer (2025) - Google Analytics Individual Qualification (verified by Upwork) - Meta Certified Marketing Developer (Credly) Whether you need a GA4-to-BigQuery pipeline, broken tracking fixed, Shopify analytics modeling, or a complete analytics foundation, tell me what you're trying to decide with the data, and I'll build the system that gets you there.

Hello and welcome! I am Denis, a Digital Marketing specialist with a deep-seated expertise in Web Analytics and Paid Traffic, proven through years of impactful results with international powerhouses like Yamaha Motor and Samsung. My journey in the digital realm took flight with my first Google Analytics IQ certification in 2010. Since then, I've been continuously immersed in the intricacies of Google Analytics and Google Tag Manager, skillfully employing them to demystify consumer behavior and elevate marketing strategies. In the continuously evolving space of analytics, I was an early adopter of Google Tag Manager, harnessing its synergies with Google Analytics to establish robust tracking foundations. My ability to craft detailed and dynamic dashboards stems from a profound understanding of data visualization tools, including Google Data Studio and Looker Studio. These dashboards not only illuminate performance insights but also drive actionable marketing decisions. Bringing a track record of success with paid traffic generation, I have orchestrated high-performing campaigns across both Google Ads and Facebook Ads, ensuring each ad spend is not just an expense but an investment towards measurable growth. My technical prowess extends to intricate custom conversion tracking for websites, where I deftly incorporate additional layers of JavaScript when needed. This technical agility allows me to configure both micro and macro conversions that intelligently communicate with web analytics systems and ad platforms, capturing the nuanced story behind every click and conversion. ➤ Here's a glimpse into the suite of services I offer, underscored by a decade of industry leadership: – Strategic Google Analytics and Google Tag Manager audits and setup, drawing on deep-dives with market leaders. – Expert-led transition from Universal Analytics to Google Analytics 4, tailored for future-focused data analytics. – Harmonious integration of Google Ads, Facebook Pixel, TikTok Pixel, and complex third-party codes, rooted in a background of collaborating with global – brands. – Custom event tracking and goals configuration, precisely mapped to your bespoke business KPIs. – Advanced reporting and data visualization in Google Data Studio, shaped by an extensive track record in data-driven storytelling. I approach each project committed to understanding your specific business context, eager to deliver data-driven insights that will propel your organization forward. Eager to fortify your analytics framework with a proven expert? Reach out and invite me to your project, and together, let's translate data into strategic victories.

Your data is a mess and you're still guessing why users don't pay or churn. I fix both. I build the analytics infrastructure, warehouse to dashboard, that you can actually trust, so you see exactly where users drop and what to fix. Mixpanel Certified Partner & PostHog expert, 100+ companies, Top Rated Plus. As a founder or product & growth person, one of the major pain points is to completely understand how your users are using your product & use the insights to drive the business forward. But insights are only as good as the data infrastructure underneath them. That's exactly what I help you build - from the warehouse up to the dashboard. I'm Ansh, a Product Analytics expert (Mixpanel Certified Partner) and data engineering practitioner, who has worked with 100+ companies to set up their analytics and data infrastructure to accelerate insights that drive product growth & revenue. Tech Stack: DBT, Fivetran, Bigquery, Mixpanel, Amplitude, Posthog, Google Tag Manager, Google Analytics, Hotjar, Looker Studio, Databricks, Metabase, Tableau, Power BI, etc. What exactly can I help you with? ✅ CRO: I identify friction in your funnels and optimize flows to improve conversions across signup, activation, and revenue. ✅ Data modeling & warehouse design: I build clean, well-documented data models using dbt so your warehouse is analysis-ready - not a mess of raw tables nobody trusts. ✅ Data pipeline setup: I configure and maintain ingestion pipelines using Fivetran, Airbyte, or custom connectors so your product, marketing, and revenue data lands reliably in BigQuery, Snowflake, or Redshift. ✅ AI-ready data infrastructure: I structure and document your data so it's ready for AI agents, LLM-powered analytics, and automated reporting - not just human dashboards. ✅ Consulting: I guide teams on what to measure, how to analyze it, and how to make data-driven decisions that drive growth. ✅ A/B testing: I design and analyze A/B tests so you can ship changes backed by statistically sound results. ✅ Ad-to-product attribution: I set up pipelines to send Google/Facebook/LinkedIn Ads data into Mixpanel, Amplitude, or Posthog for full-funnel attribution. ✅ Event tracking, schema design & data modeling: I create clean tracking plans, warehouse schemas, and dbt models so you always collect the right data in the right structure ✅ Analytics strategy: I build an AAARRR-based analytics strategy so you know exactly how customers move through your product. ✅ Tool integrations & automation: I connect your tools and automate your data workflows across Mixpanel, Amplitude, Posthog, Segment, and more. ✅ Marketing → Product stitching: I connect your acquisition data with product usage to show which channels bring high-value users. What do people say about me? - Ansh was extremely helpful in developing our V2 analytics strategy and in setting up our Mixpanel dashboards accordingly. He was not only proactive in bringing his expertise but also highly adaptable to our specific needs. Ansh played a key role in identifying effective solutions where standard approaches were insufficient, delivering all his tasks with great professionalism and impressive speed. Looking forward to future projects with you, Ansh! - Ansh had skillfully set up our PostHog dashboard analytics, delivering a precise and effective solution. Highly recommend his expertise and commitment to quality. - Ansh has been excellent with setting up our mixpanel pipeline and providing insightful analytics. He's always available, humble, and always ready to learn more about the product! - Ansh was incredibly helpful in three main ways: first his detailed technical knowledge of MixPanel helped me solve specific implementation problems and needs quickly, usually within a few minutes. Second, he pushed me to frame my thinking about why I wanted a certain piece of analysis. This helped me get far clearer on my goals - sometimes leading to me running different analysis, dropping a piece altogether and always helping me think more strategically. Finally, Ansh has a lot more to offer than just MixPanel advice - he's able to think strategically about North Star and second-level metrics, helping me figure out the why behind the work I was doing. If I seem fit for what you’re looking for, feel free to DM!

🏆 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 – 𝗔𝗺𝗼𝗻𝗴 𝘁𝗵𝗲 𝗧𝗼𝗽 𝟯% 𝗗𝗮𝘁𝗮 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸. 🏆 Having successfully served 50+ clients on Upwork, I bring over 6 years of expertise in Data Analytics, Data Engineering & Web tracking. I build end-to-end data tracking & reporting pipelines for business of all sizes. What clients say about me: 📣 "𝙑𝙚𝙧𝙮 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙫𝙚 𝙩𝙤 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙥𝙧𝙤𝙫𝙞𝙙𝙚𝙨 𝙜𝙧𝙚𝙖𝙩 𝙙𝙖𝙩𝙖 𝙖𝙣𝙙 𝙫𝙞𝙨𝙪𝙖𝙡𝙞𝙨𝙖𝙩𝙞𝙤𝙣 𝙖𝙙𝙫𝙞𝙘𝙚. 𝘼𝙡𝙨𝙤 𝙖𝙗𝙡𝙚 𝙩𝙤 𝙝𝙖𝙣𝙙𝙡𝙚 𝙖𝙙𝙫𝙖𝙣𝙘𝙚𝙙 𝘽𝙞𝙜𝙌𝙪𝙚𝙧𝙮 𝙖𝙣𝙙 𝙇𝙤𝙤𝙠𝙚𝙧 𝙎𝙩𝙪𝙙𝙞𝙤 𝙬𝙤𝙧𝙠. 𝙀𝙭𝙘𝙚𝙡𝙡𝙚𝙣𝙩 𝙘𝙤𝙣𝙩𝙧𝙖𝙘𝙩𝙤𝙧!" MY SKILLS SNAPSHOT: 📈 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 | Finding critical business insights & building KPIs from raw data stored in databases or spreadsheets. Also, building automated reporting dashboards using any available Business Intelligence tool in the market. 🌎 𝗪𝗲𝗯 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 | Setting up browser-side and server-side tracking to ensure have precise information on what actions users take on your website. 🛠️ 𝗘𝗧𝗟 𝘂𝘀𝗶𝗻𝗴 𝗔𝗣𝗜𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 | Expertise in building Python data pipelines to extract raw data from APIs of data sources like but not limited to Meta Ads, LinkedIn Ads, Google Ads, Bing Ads, Mailchimp, Shopify, Stripe, Google Analytics 4, Google Search Console, Klaviyo, ClickUp, Monday, etc. 📲 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 | Analysing mobile app user’s behaviour and developing key mobile app metrics like DAU, MAU, ARPU, day-wise retention, Ads and IAP analyses, Aha moment analysis, etc. 🤖 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘂𝘀𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗢𝗽𝗲𝗻𝗔𝗜 | Building real-world business solutions using OpenAI and other large language models (LLMs). MY TECH EXPERTISE: • 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜 – Looker, Metabase, Zoho Analytics, Domo, Power BI, Tableau, Google Data Studio (formerly Looker Studio), Mode, Databox, Google Sheets, Excel, etc. • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 – SQL and Python. • 𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 – Google BigQuery, AWS Redshift, AWS RDS, Snowflake, MySQL, MS SQL, PostgreSQL, Azure SQL, etc. • 𝗘𝗧𝗟 𝗧𝗼𝗼𝗹𝘀 – APIs, dbt, Dataform, Fivetran, Supermetrics, PowerMyAnalytics, Saras Analytics, Zapier, etc. • 𝗪𝗲𝗯 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 – Google Tag Manager, Google Analytics 4, Mixpanel, etc. Feel free to drop a message if you need help with any of the services listed above and I'll be happy to collaborate! Looking forward to hear from you. Chitranshu Sharma