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Know your Hosts


- Are you a senior marketing professional?
- Maybe a director of marketing or aiming to get there in the coming years?
- Do you want to fastrack your way to CMO or jump into world’s biggest brands as a leader of marketing?
- Do you manage a significant ad budget, driving a brand, or manage a marketing team?
- Are you accountable for strong growth in lead generation, increasing engagement, driving down CAC (Customer Acquisition Cost), enhancing ROAS, or accelerating the brand impact of your marketing activities?
- Do your day to day decision making impact a brand or revenues of a business? Is this where you want to be if not already there yet?
I have one good news and one bad news for you. You may already know this in some ways.
As per tradition, lets start with the bad news.
Marketing today, at the highest level, is becoming data science. It is all about gathering data, creating actionable business insights out of that data which help you to beat the market.
And AI tools can manage big data seamlessly and give you insights far beyond what our limited human mind can compute. Here are some things that have been accomplished this way in recent years:
- Nike introduced a data science driven personalised coupons system, served to 10 billion page views on the Nike website per month, which stopped coupon sharing and coupon leakage, driving additional revenue
- Goibibo crafted a live customer segmentation engine on their customer base
- PayTM tripled their email open rates in a week and increased average order value by 75%
- Lenskart was able to reactivate millions of their dormant customers using marketing automation without spending a single penny on paid ads
- Tokopedia was able to launch trigger based campaigns which were 3X more effective in terms of ROI
Btw, all these projects were led by Ankit Maheshwari, one of our speakers in this bootcamp. More about Ankit later.
We are suggesting that unless you have some proficiency in data science to manage a team of data professionals, some day you may end up reporting to a data science professional who understands marketing.
If you do not want a 29 year old data science professional to come and tell you how to allocate your budget, how to optimise your campaigns and how to drive up ROAS, or even who to hire or promote for that matter, you need to wake up to the reality of data science.
Now the good news.
You can learn data science as a marketer very easily.
- And no, you don’t need to become an expert level coder to benefit from the data science revolution as a marketer.
- Most marketers are already data driven. They breathe dashboards all day and crunch spreadsheets for lunch. Conversion rate optimization is pretty much like breathing oxygen for them. They track ad spends in their sleep. They don’t move an inch without data.
So what big new thing can data science and AI do for such marketers?
Let me give you some examples of how top companies in the world used data science in marketing:
- Netflix, through its data-driven recommendation engine, attributes its ability to retain customers and reduce churn, saving approximately $1 billion per year.
- Coca-Cola's "Share a Coke" campaign, which personalized bottle labels, resulted in a 2% increase in U.S. sales after a decade of declining revenues.
- According to HubSpot, content that is tailored based on data analytics can lead to a 42% higher click-through rate.
With data science, you get to play in the big leagues, outside the reach of most traditional marketing professionals.
Here are 7 fundamental data science skills you want to learn as a marketer:
Cohort, clustering & RFM analysis using python and other analytics tools
Building, managing & leveraging universal customer data platforms
Customer segmentation using big data tools & personalization at scale
Automated A/B testing of ads, landing pages and campaigns using big data and AI tools
Marketing attribution modelling and marketing mix modelling
Sentiment analysis driven branding campaigns
Deploying automated trigger based campaigns & tracking them by connecting data from multiple sources in customised live dashboards using tools like Tableau and PowerBI
You would be in a very elite league of professionals if you could do these things.
Let me introduce you to Ankit Maheshwari.
- He saw the power of data science in marketing himself. After raising money from Times Internet and then selling his first media startup to Dubai based investors, he went on to start BetaOut, backed by US accelerator TechStars, a company that introduced data science driven marketing automation at first in top Indian startups like PayTM, Lenskart & Goibibo.
- Soon, they were acquired by a US unicorn and Ankit went on to work in New York for three and half years, spearheading data science & AI driven products that automated marketing operations in world’s largest retail brands like Nike, Steve Madden, Macy’s & UnderArmour.

- Ankit saw first hand how difficult it is to find people who are capable of implementing data science in large scale performance driven marketing. The world of business is hungry for professionals who have the capability to transform marketing with the power of data science and AI!
- He started a professional data science training company - Dataisgood. Within a year, Dataisgood trailblazed its way to 1 cr per month revenue bootstrapped.
- But training entry level professionals in data science and getting them placement is one thing. The real opportunity is to transform India into the marketing talent capital of the world by training senior marketing professionals with cutting edge strategies and tools.
- That is what this bootcamp is about.
Over 2 evenings, we will teach you amazing skills, explain emerging trends in Fortune 500 and Silicon Valley, and show you incredible opportunities that could transform your career.
- There is nothing else like this you can get anywhere else if you are a marketing professional interested in exploring the edges of innovation. This is the final frontier of cutting edge in marketing.
Some quick steps to get a certificate for the bootcamp
- Attend every day (at least 2.5 hours each day, and log in from the trackable unique link sent to you by Zoom).
- Leave a review of your experience (good, bad, ugly) in the comments section of the LinkedIn and Twitter post links (shared during the live session) at the end of each day for all days. If you do not have an account on any of these channels, please create one right away; it only takes a few minutes
- Please send a screenshot of your posts and queries about the certificate, if any, to [email protected]. We will send you a certificate in 10 days.