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ChatGPT’s Decline? Nitin Dhamelia on Knowledge Accuracy and AI Funding Methods


Did ChatGPT actually lose billions of customers to Gemini?

A Monetary Instances article from September 2024, which is now corrected and reads otherwise, supported by Goldman Sachs information, claimed simply that. Although this error was quickly rectified, it may have had long-lasting impacts on advertising and marketing and AI budgets.

The incident highlighted the necessity for important pondering and subject material experience in differentiating truth from fiction.

In spite of everything, to err is human, to forgive is divine, and to assist repair is accountable.

To assist educate our collective business of entrepreneurs, technologists, and content material creators on higher discern information, we spoke with Nitin Dhamelia, the person who helped Monetary Instances and Goldman Sachs establish and repair the issue.

Nitin Dhamelia is a London-based digital advertising and marketing chief with over 20 years of experience in web site optimization, website positioning, e-commerce, and information evaluation. His profession throughout the Americas, EMEA, and APAC consists of roles within the meals and beverage manufacturing, motorized vehicle manufacturing, retail, and media manufacturing industries.

Nitin has additionally consulted multinational enterprises to remodel enterprise methods, gasoline progress, and drive MarTech innovation by means of strategic insights. He’s enthusiastic about data sharing to empower advertising and marketing groups with information literacy and cross-functional capabilities.

Learn on for knowledgeable evaluation, a step-by-step information on discerning information authenticity, and future-focused recommendation.

What you may be taught on this article:

  • An authority-backed, simple-yet-effective methodology for verifying information authenticity
  • Key suggestions for CMOs on investing in AI-driven platforms like ChatGPT
  • Rising significance of AI in advertising and marketing, information evaluation, and strategic planning

Kamaljeet Kalsi: How did you come throughout this text, and what prompted you to research the information introduced within the Monetary Instances concerning ChatGPT utilization traits? 

Nitin Dhamelia: I have been a heavy consumer of ChatGPT, Gemini, and also you.com since their launch in December 2022. I’m additionally a paid subscriber to publications like Monetary Instances, which has a powerful, influential readership.

I normally use my premium ChatGPT account on my private telephone and an online browser to maneuver fluidly between net and app platforms.

A couple of weeks earlier than the Monetary Instances article was revealed, I observed a shift from the outdated chat.openai.com to chatgpt.com for premium customers. I recognized this refined change as a result of I ceaselessly swap between units relying on the display actual property I would like for a respective activity.

After I noticed that individual article with the bar chart within the Monetary Instances, I assumed the viewers would possibly have a look at the chart and assume, “Okay, ChatGPT utilization is declining globally; let’s discover out what’s subsequent.” 

Many might mistakenly conclude that capital expenditure (CapEx) funding in platforms like ChatGPT will result in diminished returns resulting from its perceived declining utilization, not realizing that this can be a false impression regarding its future ROI potential. 

However the actuality is that this is not totally right. You possibly can’t go from peak utilization — billions of customers a month — to an 89% drop, particularly in 2024 when firms like Tesla and others are creating their very own AIs and robots powered by AI brokers.

The image didn’t appear fairly proper, and this curiosity led me to examine for modifications regarding ChatGPT and the FT.com bar chart.

Did ChatGPT really lose billions of customers to Gemini?

No. It was a easy web site migration to enhance the consumer expertise for customers utilizing a chatbot like ChatGPT.

It’s not apparent for the typical client to identify what’s occurred as a result of it requires technical data of the net and client experiences that seem unchanged however are certainly totally different.

I wrote to Monetary Instances. They consulted Goldman Sachs and made a correction impressed by a chart I despatched.

Financial Times rectified graph inspired by Nitin Dhamelia's analysis chart showing ChatGPT user growth

Supply: Nitin Dhamelia

Financial Times rectified chart of monthly ChatGPT visits

Supply: FT.com

Although the article has been corrected now with a brand new chart of ‘minutes used,’ illustrating rising utilization traits for ChatGPT, readers might not revisit it, having seen it as soon as and believing there was nothing improper.

Financial Times new chart of ChatGPT user engagement by minutes

Supply: FT.com

“I might advise finances holders to proceed investing their CapEx in tech platforms that depend on ChatGPT or OpenAI APIs themselves as a result of utilization remains to be skyrocketing.”

Nitin Dhamelia
Advertising Insights Marketing consultant

What was your thought course of in figuring out the discrepancy and conducting your personal information evaluation?

To raised perceive the truth, a fast have a look at FT.com’s information from Might to September revealed it was only a web site migration. That they had 10.3 billion consumer visits, which weren’t thought-about. This course of is advanced and technical in website positioning but seems easy on the floor. Understanding such particulars escapes many within the advertising and marketing business — probably 90% — indicating a necessity for training by means of publications like G2’s.

Financial Times old chart with inaccurate data about ChatGPT user visits

Outdated chart supply: Nitin Dhamelia

The image revealed the partial fact. We name it partial proof as a result of their information evaluation lacked depth.

It turned clear that the alleged consumer loss wasn’t resulting from newer platforms like Gemini however fairly a lacking piece of knowledge evaluation, which is a standard oversight. This ties again to the significance of training and understanding.

I’d like to emphasise that after any analysis or information evaluation, it’s essential to distill findings into easy phrases. The underside line right here is that there is an growing utilization development. If you happen to’re managing a finances, maybe in IT or advertising and marketing, proceed investing in your APIs like ChatGPT. Maintain these CapEx traces in your finances as a result of consumer demand is on the rise, anticipating entry to providers by means of varied platforms. 

It’s important to simplify conclusions: is there progress or decline, and will CapEx funding enhance or lower? Keep in mind, funding applies to enterprise budgets, reminiscent of advertising and marketing, and typical inventory market buyers. The takeaway from any article ought to information all these stakeholder teams clearly.

“My intention was to facilitate a broader understanding and proper public interpretation of the information in revealed materials, thus affecting readers who comply with monetary and expertise information intently.”

Nitin Dhamelia
Advertising Insights Marketing consultant

Are you able to element the method you adopted to conduct and talk the evaluation?

It was an extremely easy methodology, however I believe having deep data of this topic space helped me perceive how issues function. 

I made a decision to run my unbiased evaluation by replicating the whole course of, which I imagined to be from Goldman Sachs. I principally used Similarweb, the identical device that the Goldman Sachs group used. 

I used Similarweb’s freemium model, however you are able to do the identical utilizing Semrush or your device of alternative.

Nitin Dhamelia’s information to discerning information authenticity

  • Step 1: I began by getting into the area “chats.openai.com” into Similarweb in a comparative window. My purpose was to know how this area was performing in comparison with related domains by analyzing net site visitors information.
  • Step 2:  I added the area “chatgpt.com” to the comparability. I used Similarweb’s free tier, which permits for site visitors comparability without having any premium options. The intent right here was to see how each domains carried out towards one another, specializing in their site visitors ranges and traits.
  • Step 3: After organising the domains, I clicked “Go” to provoke the evaluation course of. Similarweb instantly gave me a view of the site visitors ranges. This information confirmed my preliminary speculation that ChatGPT had not misplaced customers. The information confirmed that client engagement remained sturdy, with ChatGPT utilization reflecting an growing development over time.
  • Step 4: Similarweb generated an nearly instantaneous interactive chart. This visible illustration included varied statistical outputs, reminiscent of dwell charts and bar graphs, all accessible instantly within the browser. It supplied a complete view of the site visitors dynamics, serving to me assess the data visually and perceive the rising patterns.

Having gathered and analyzed the information, I mirrored on the discrepancy between my findings and what I believed was portrayed in public articles. Relatively than discussing it on social media platforms like X (previously often known as Twitter), I contacted Monetary Instances instantly. I wrote to them explaining the partial inaccuracy of their article and supplied my chart for his or her consideration, suggesting it would present a extra correct perspective.

The group at Monetary Instances responded to my correspondence, expressing gratitude for declaring the oversight. They talked about they’d taken my chart into consideration and used it to confirm and proper the data of their article. They clarified that whereas their up to date chart got here from one other information supply, it corroborated the identical storyline, which they appreciated having been famous.

Lastly, considering additional actions, I reached out to contacts at Goldman Sachs. Though not sure if my communication would attain the suitable people, I started this course of to make sure each Monetary Instances and Goldman Sachs have been knowledgeable in regards to the obligatory corrections. 

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The article was for premium paid clients of Monetary Instances, that means that it may have influenced funding selections of even the neatest minds. What classes can publishers, monetary analysts, journalists, and content material creators like myself be taught from this incident?

Generative AI applied sciences like ChatGPT are extremely highly effective, and we’re all on a collective journey of studying and embracing it. 

For content material creators, publishers, and analysts, connecting with area consultants is essential. Do not hesitate to succeed in out for a way examine. Many, like myself, are keen to assist with no consulting charge as a result of we worth world data progress.

These in influential stakeholder positions at locations like Monetary Instances can help AI finances will increase, benefiting their firms long-term. These in influential stakeholder positions at locations like Monetary Instances can advocate for AI finances will increase, benefiting their firms long-term. Since buyers in Monetary Instances are probably additionally shareholders in different firms the place we, as entrepreneurs, work, this help can not directly profit a spread of industries.

Buyers and different key stakeholders play a vital position in serving to advertising and marketing leaders safe the mandatory finances or CapEx for AI initiatives. This funding is crucial because it enhances a corporation’s capabilities, finally benefiting your division and the whole firm. It is essential to strategy this determination from a complete, 360° perspective, guaranteeing all features are taken into consideration for strategic progress and success.

“If clear methods aren’t established, totally different elements of the market can grow to be remoted and disjointed.”

Nitin Dhamelia
Advertising Insights Marketing consultant

This disjointedness is obvious in how platforms expose gaps throughout advertising and marketing disciplines.

For example, platforms like LinkedIn typically spotlight inefficiencies inside varied aspects of promoting, together with website positioning, PR, and content material creation, the place AI is more and more influential.

It is unproductive to have separate teams inside these areas loudly expressing a lack of know-how surrounding website positioning, AI, or some other content-related points. As a substitute, it is essential for professionals throughout these fields — advertising and marketing, digital advertising and marketing, or content material creation — to share data and elevate one another’s experience collaboratively. 

On the danger of sounding esoteric, I’d like to say that this collective progress is useful not only for people however for groups and the group’s finances in the long run. 

The important thing takeaway is the importance of solidarity and shared studying on this journey. As we advance collectively, it enriches our collective human expertise and allows us to construct extra subtle and correct instruments, together with AI, that finally serve and empower us all.

How essential is it for advertising and marketing leaders to remain up to date on technical modifications, and the way can they make sure that their groups are additionally knowledgeable?

For advertising and marketing leaders, it is crucial to be self conscious of their areas of enchancment and perceive the immense velocity at which advertising and marketing is shifting. 

Over the previous 12 months, the model fairness measurement business has seen the subject of AI infiltrate its sometimes slow-moving area. It is because model fairness, whereas not identified for speedy change, requires AI to maintain up with its tempo from a client perspective. The market should grasp the sensible purposes of decoding high quality information and understanding modifications in information throughout advertising and marketing verticals. This consists of revisiting fundamentals, reminiscent of optimizing search channels, content material creation, content material era, and ideation.

Encouraging groups to be taught independently is useful. For example, for those who’re based mostly in London, attending conferences like Brighton website positioning or Advertising Week occasions can encourage and educate. Providing your group these alternatives helps them keep knowledgeable and engaged, fairly than imposing a top-down strategy that will not swimsuit various studying kinds, particularly in progressive environments. This strategy ensures your group grows extra successfully, stays impressed, and retains tempo with business modifications.

On the be aware of promoting leaders staying up to date, I recall you probably did a Mini MBA. How have you ever continued to pursue your studying journey, and the way has it helped?

I accomplished my Mini MBA in December 2023 and utilized the data alongside my day job. I used it to create inside model and measurement instruments. Now, measuring model impression after a marketing campaign does not take three months; it is all the way down to about 72 hours and generally even much less.

The talents I realized, mixed with AI’s capabilities, have catalyzed my workflows and effectivity. It generally takes simply half a day — possibly three or 4 hours — fairly than ready three months to finish the measurement and double examine every thing.

Are you able to share the way you handle your day job, studying, and advisor position?

It overlaps with my Netflix time, which I contemplate helpful. I will have my private telephone and Netflix on one aspect, whereas I atone for some household time within the night. In the meantime, I will run one thing on ChatGPT within the background to get concepts flowing. Later, I will revisit these concepts and decide if they provide insights for consulting or one thing I would like for a future undertaking or white paper. 

AI permits me to steadiness issues properly, keep energized, and keep away from burnout, which is essential.

What traits do you foresee in using AI for big language fashions (LLM) and information evaluation and advertising and marketing?

Extra departments and enterprise features, reminiscent of HR, gross sales, and provide chain, will acknowledge the worth of a very good LLM. Enterprise leaders will more and more choose to make use of exterior LLMs through APIs fairly than growing in-house fashions to attain their objectives. 

An instance of that is creating artificial information for model advertising and marketing measurement surveys, enabling speedy advertising and marketing segmentation. This course of not requires six months to 3 years to attain business segmentation. By then, generations and demographics might have shifted making the information outdated. Companies can now rerun the LLM to generate artificial information to anticipate demographic modifications and alter model messaging accordingly. 

This can be a highly effective strategy to understanding and using artificial information for swift segmentation in advertising and marketing, guaranteeing a enterprise stays forward-looking.


Observe Nitin Manhar Dhamelia to maintain up with the most recent advertising and marketing, information, and MarTech insights.

If you happen to loved this insightful dialog, subscribe to the G2 Tea e-newsletter for the most recent tech and advertising and marketing thought management.



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