Himanshu Srivastava

ShareChat is a social media platform that allows users to share their opinions, document their lives, and make new friends in their native language.

• Sole PM owner of ShareChat Ads Platform Tech Integration for self-serve & managed-serve ads leading to driving 3 Cr+ revenue/month.
• Spearheaded from conception to end-end development of Sharechat Event Manager (Sharechat Pixel & MMPs/Postback implementation) which led to +86% retention for conversion campaign advertisers in the activation funnel & 97% product adoption.
• Spearheaded end-to-end Dynamic Audience manager for all advertisers where they can create & manage their custom & Lookalike audiences for all Shopping & Non-shopping ads, leading to the creation of 50 L+ revenue/month.
• Created Product roadmap, led GTM strategy & design discussions with UI/Ux teams to build user/advertiser's trust and stakeholder relationships across teams.
• Demonstrated live demos, webinars, or masterclasses for the introduction of our product, Event Manager, on LinkedIn and YouTube to educate advertisers about our product: YouTube (http://surl.li/tupsrl), (http://surl.li/dbnpzm), and LinkedIn (http://surl.li/bcdkub).
• Built Location Targeting from scratch to enable advertisers to target ads based on geography, which led to custom targeting of users on the platforms ShareChat and MOJ, and a 7.5% increase in ROI for advertisers, resulting in an additional revenue of 50 L/month for the company.
• Improved ad platform efficiency by identifying blockers and launching features on several fronts: ad specs, bulk targeting of cities, pin-code removal, and s2s integration for Moj splash ad—led to 12 L/month platform revenue.
• Owned and executed Dynamic Shopping Ads integration for Shopsy and Meesho into ShareChat ads, leading to 14 L/month in revenue.
• Introduced and executed end-to-end implementation of AdMob as a fallback network for Network Revenue Charter, leading to an increase in revenue of $5,000 per day, 9% of overall network revenue.
• Performed A/B experimentation to elevate and prove that we were getting throttled on GAM based on infinite requests for inventory, reduced requests, and increased revenue by 3x ($7,000/day) for CPCV ads; revenue sustained in reverse A/B and in production.
• Performed an A/B experiment with different floor prices to deduce the optimal balance between true billed revenue and retention, increased the top-line metric (true billed revenue) by +3% and network revenue by +6% without any statistically significant retention loss.
• Integrated partners like Applovin, Unity & IronSource to network charter via GAM to ensure fair mediation via SDK bidding and increased revenue by $1000/day for each partner.
• Performed A/B experiment to Improve Skip Timer Visibility for users to better understand CPCV Ads UI and wait for the timer to end to move to next content, Increased Overall revenue by+1.18%, Network revenue by +1.1% & D1 retention as neutral.
• Prepared Quarterly product roadmap, Sprint Planning, influencing stakeholders- Design, Engineering, Sales & Ops, Marketing, Onboarding & analytics.
• Identified blockers, led the research & converted them to actionable product features & spearheaded the end-to-end from product ideation to release & integrating user/advertiser feedback then iterated the product versions.
• Performed analysis for DSA & Platform for modifying the targeting of audience segments, product targeting, system checks & identification of system bugs which led to an increase of 30% in ad-misses due to image load time, leading to 7 L/month additional revenue.

A global online marketplace providing staffing solutions for Blue & Grey collar workers.

• Steered primary & secondary research for 'Waah Staff', a salary & attendance management solution for SMEs which helped us to identify overall market size, solutions, impact & feasibility.
• GTM strategy for Waah Staff for the next 3 years, which helped us to plan ahead for the product.
• Identified & guided north star & key metrics for waahstaff to track its performance which resulted in 70% repeat returning users.
• Piloted the analytical insight side on Waah Staff to help Tech & Product team to design MVP & final version which helped us to get to 4.6/5 rating.
• Analytical ownership in reporting, designing user journeys, setting up metrics, and daily reports to all stakeholders.
• Identified root causes and corrective actions to meet short and long-term business goals for waah staff and staffing part of the business.
• Did A/B experiments to increase user engagement on our platforms, which gave a 45% increase in DAUs & 20% in MAUs
• Established dashboards on Google Data Studio/Looker and Redash for organizational efficiency.
• With an in-depth analysis of the new market and adjusting company strategies accordingly for staffing business via Client level employment numbers, TAM, SAM & SOM, found 4 new arenas to expand.
• Drafted and implemented 350+ analytics events for tools such as - Clever tap, Amplitude & User Experior to build a pipeline for user behavior and analytical insight.
• Executed market research for HRMS & BGV - Blue & Grey collar workforce (Top-down & Bottom-up approach) for the staffing Industry 2.2 bn market with 300 mn workforce.
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A health and wellness company providing various services including fitness and healthy food options.

• Published performance metrics reports fostering process improvement strategies.
• Provided expert analytical support to develop and grow the capability of Eat.Fit through insights which ensured better ratings of the product (3.3/4 to 3.6/4).
• Automated extraction and reporting dashboards for visibility on performance metrics.
• Conducted data tests analyzing 30,00,000 rows monthly to enhance product ratings.
• Coordinated with Management, & external tech team of zomato & swiggy to identify, and implement resolution strategy on issues affecting rating ensuring in app rating of 3.6/4.
• Collaborated with tech and management for effective resolution strategies.
• Implemented SQL queries for critical data extraction tasks.
• Executed and validated test cases & A/B experiments which ensured 10+ launches of product variants.