Sponsored LinkedIn post
A dedicated post to introduce your brand to my audience.
Ritika Dhoot
Sales Transformation Manager @ Mars
Open to collaborations
Companies pay Ritika to write a post about their product on LinkedIn.
This page is where they book it. Below: Ritika's audience, recent posts and price. Naano, the platform behind this page, handles the brief, your approval of the post and the payment.
€82per post, fixed price
You approve the post before it goes live
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About Ritika Dhoot
As an Area Sales Manager at Mars, one of the world's leading confectionery companies, I am responsible for handling alternate channel sales for four states in India. With over three years of experience in the FMCG industry, I have developed strong competencies in key account management, communication, and team management. I joined Mars as a Graduate Management Trainee in 2020, after completing my MBA in Finance and Marketing from MDI Gurgaon, one of the top business schools in India. During my MBA, I participated and excelled in several national and campus-level competitions, such as Mahindra War Room, L'Oreal Brandstorm, and Quest by Johnson & Johnson.
SalesAIGrowth / GTM
My LinkedIn audience
- Followers
- 1,321
- Est. median reach
- 1.2K
- Engagement
- 2.5%
My most engaged audience
22% Engineering / Data
From 72 people who reacted to or commented on my posts
Public LinkedIn data · Sep 18, 2026
Recent posts
All posts on LinkedInRitika Dhoot
Solved with AI : Post #1 In the last 72 hours, I built a system to identify high-intent leads for my brother's next tradeshow. It is a fully automated system that scrapes data from multiple websites, classifies companies in real time, standardise the format and uses AI to evaluate relevance. Along with this, I set up a complete HubSpot pipeline from scratch when it was my first time ever using the platform and trimmed 1,500 leads down to 300 prospects. None of these were familiar to me before last Friday. There is a reason why I am posting for the first time AI is everywhere. Every 4th post on your feed, every podcast, every newsletter and with that comes a familiar feeling: the fear of falling behind. I want to move past the fear and the keyword-loaded articles. We live in a time when we have the ability to eliminate everyday problems customised to ourselves: big or small. So I'm starting a series called Solved with AI : small, real projects that AI has enabled me to execute in days not months. Week 1 was the lead pipeline. Week 2 is something completely different. I hope it makes you want to start on this journey yourself. Tech Stack: Claude, Apify, Hubspot, Clay Message to know more.
51 reactions · 2 commentsViewRitika Dhoot
Solved with AI: Post #3 A friend recently shared news of his promotion. As for the salary increment, he mentioned, "Bol rahe hai in-hand 20% se badh jayega. Calculate nahi kar paya." (Tagging Harshit Bharadwaj for no reason.) However funny that statement sounds, it's true. When an individual is discussing compensation during internal or external movements, they are faced with two challenges: The first challenge is that the take-home calculation gets confusing once you introduce the slab structure of Indian taxation since the increment is not linear. The second challenge is visibility into what the market actually pays for your profile. Furthermore, most people lose in negotiations because they can't separate facts from feelings. This is the next one in Solved with AI: real friction, solved one problem at a time. Link: https://lnkd.in/g74BPHqV The intent of the tool is to provide data-backed industry trends to ground these conversations in market reality. The data used is taken from the Michael Page India Salary Guide 2026. Input your profile, and it shows you exactly where you sit: your market band, a realistic negotiation target, how your pay compares across specializations, and your real take-home after tax. The execution is a little rough around the edges, but I hope it helps you navigate salary discussions better! Tool stack: Claude (design) and Claude Code. #SolvedWithAI #SalaryNegotiation #AI #BuildingInPublic
23 reactions · 0 commentsViewRitika Dhoot
#2 Solved with AI One of the key insights which helped me immensely during my CAT preparation was that these tests are more of a test of strategy than learning. Topics aren't weighed equally, which should reflect in planned time of preparation. So, when my sister told me she is thinking of preparing for a certification exam I started building. Here is the first version: https://lnkd.in/gzpT_BiD The premise was simple. Recall improves through active usage and not passive re-reading. So instead of spending time re-reading chapters, identify topics you perform badly in and spend time improving those. Weightage-first: Every section gets attention proportional to its exam weight. The app makes this visible so you're always studying where you have more chances of scoring. Gamified Approach: Short 10 MCQ sessions to use that 5 minutes of free time you have between tasks. Small and repeatable wins. recall is built by frequency. Analysis and Feedback: after every quiz to update you regarding the progress. If you are logged-in, it stores your history and fine-tunes the analysis as you go. Guest mode stores only for current session. Study Material Notes and Summaries: By holding key differentiators side by side in a table, remembering multiple laws/rules in a shorter frame of time becomes easier. I finally found a worthy way to use claude agent in my current projects. This is more a work in progress branch of the original idea, but I strongly believe the use-cases of this app are endless. Would love to hear any suggestions and ideas around this. Hope it gives you motivation to build something for yourself. Built with Next.js + Supabase and Claude Code, deployed on Vercel. #ExamPrep #EdTech #BuildInPublic #NISM #IBBI #LearningDesign #SolvedwithAI
22 reactions · 1 commentsView
Work with Ritika Dhoot
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How does this price compare? B2B creator rates 2026
Who engages with my posts
Based on 72 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 72 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 72 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 72 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
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Booking Ritika Dhoot: frequently asked questions
Ritika Dhoot is a B2B LinkedIn creator based in India with 1,321 followers, posting about Sales, AI, and Growth / GTM. On Naano, one sponsored LinkedIn post by Ritika Dhoot costs €82, a fixed price per post.
- How much does Ritika Dhoot charge for a sponsored LinkedIn post?
- One sponsored LinkedIn post with Ritika Dhoot costs €82 on Naano. It is a fixed price per post, the amount your brand pays. Compare with the B2B creator rates 2026 report
- How do I book Ritika Dhoot?
- Create a brand account on Naano, choose an offer on this page and send your brief. The price is held when Ritika Dhoot accepts and paid when the post URL is submitted. You can turn on draft approval to review the post before it goes live.
- Can Naano run the campaign for me?
- Yes. With Managed Campaigns, the Naano team sets the strategy, casts the creators, writes the briefs, reviews the drafts, pays the creators and reports results per creator and campaign. It is a three-month programme: a management fee from €3,000 per month, plus a creator budget from €6,000 per month. See Managed Campaigns
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