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Priyank Kohli
7+ Yrs of Experience in Performance Marketing
Priyank Kohli is a seasoned professional with over 7 years of experience in Performance Marketing, managing substantial monthly spends for leading digital-first companies in India. He has a strong background as a Product Manager for a Social Commerce App, adept at extracting and implementing actionable insights from data. Priyank's expertise lies in Performance Marketing Strategies, including Facebook Ads, Google Ads, Quora Ads, Google Analytics, as well as platforms like Appsflyer, Branch, and Shopify. He also possesses additional skills in tools such as Tableau, Data Studio, Zoho CRM, Drip Marketing, and creating Blogs & Case Studies. Priyank holds a Bachelor of Engineering (BE) degree in Electronics and Communications Engineering from Thapar Institute of Engineering & Technology. In his professional journey, he has held key positions such as Head of Performance Marketing at Cover Story, Farida Gupta, and Stage3. Prior to that, he served as Lead Analyst and Senior Analyst in Marketing & Sales at ET Medialabs Private Limited, where he also began as a Digital Analyst and earlier as a Growth Hacker Intern. He kickstarted his career as a Trainee at Rajasthan Electronics & Instruments Limited and served as the Secretary at IETE STUDENTS' FORUM, THAPAR UNIVERSITY.
Highlights
Do you run Fb Ads for your e-commerce brand?
Your Gross Numbers look too Good but your Net Numbers are too off?
How to optimize your Fb ads on Net Revenue Numbers?
Instead of shooting arrows in the sky, you can do it by analyzing attributed events on Facebook Campaigns/ Adsets/ Ads.
Firstly, create a Facebook Offline Event set.
Gather a list of your net numbers with email ids/phone numbers, count of net orders against that user, and linked revenue from CRM.
Upload the file and map it to a conversion that you are not using as a Standard Event. This will help avoid confusion while analyzing data. ( If you upload on Purchases, ATCs, the attributed numbers will add up and show under Purchases depending on Metrics selected in reporting columns)
Alternatively, you might also upload only RTO and Cancellation details.
Analyze on longer time frames to derive actionable insights, scale-up high net order delivering assets, and scale down high cancellations sources.
Share your thoughts on how you tackle this? #performancemarketing #ecommerce #startupmarketing #vaibhavsisinty
