u/Professional-Hotel95

Hello to the community of r/redditstock!

Reddit ($RDDT), as of quite recently, is increasingly being discussed as an AI winner because of data licensing, but I think that's missing the real story. After hundreds of expert interviews and phone calls with advertising agencies, executives, and enterprise advertisers, my conclusion is that Reddit is undergoing a structural transition from an experimental advertising platform into a mature performance advertising platform. If correct, the primary earnings driver over the next several years will not come primarily from licensing revenue; rather, it will come from Reddit's very own advertising economics.

Please note that this is not investment or financial advice. I am nothing more than a 20-year-old undergraduate student who has a love for understanding and analyzing businesses. Additionally, this is my first time posting on this subreddit, so I hope you all have a good time reading this piece. Now, let's get onto the pitch!

For those who don't have the time/willingness to read the entire pitch:

Summary of Points

Reddit's value proposition is high-quality, with customers actively giving Reddit a higher share of their advertising budget. This inflection should sustain over the next few years as Reddit still has a long runway to improve the value they bring to advertisers, and given that this is Reddit we're talking about, execution should not be a major issue.
Concentrated demand amongst specific communities should continue to drive auction prices higher, which drives LTV. I believe that we are at an inflection point, with customers already increasing their forecasts for FY 2026 ad spend.
International ARPU expansion is more of a sales and marketing problem, and Reddit has recently shown that it has a playbook it can replicate across the globe.
AI data licensing should be viewed as an embedded call option, and primary research suggests favourable terms for Reddit, which should provide an extra inflection to top-line in the near term.

What is the calculus behind Reddit's business model?

Reddit's revenue model may be misunderstood by many, and much of this can be attributed to the fact that Reddit only reports DAU and ARPU. It is crucial to acknowledge that ARPU is actually an output of three variables. In an AlphaSense expert call transcript I read, the Former Executive VP of Monetization at Reddit (I believe that this was none other than Shariq Rizvi) gives an incredibly coherent way to think about Reddit's revenue model:

Revenue = A x B x C x D, where:

A = DAU (Daily Active Users): The total user base, which reached 126.8 million in Q1 2026 (Company Filings).
B = Engagement per DAU: The volume of content (posts/time) consumed by users. Reddit users spend an average of 25–30 minutes daily. (If anyone has more data on this variable at all, feel free to mention it)
C = Ad Load: The density of ads shown. Reddit’s ad load is currently half that of peer platforms like Meta (~30%), providing significant supply runway. Although I can't be precise, the ad load seems to be around 15%, which means that on your home page, you're seeing an ad every 6 or 7 posts. This has gone up lately, and you don't even need to web-scrape anything to notice this (a simple scroll on your home page as a logged-in member works).
D = eCPM (Effective Cost Per Mille): The value/price of each impression. This and Ad Load are the primary drivers of growth as Reddit transitions to "performance maturity."

ARPU, in this case, is the result of multiplying B x C x D. Hopefully that makes sense. Again, if anyone has any additional metrics or stats on the variables mentioned above, or any questions at all, please feel free to comment about it, as any additional info will be tremendously helpful for the full thesis that I will try to get out soon.

The Industry Adoption Curve: Always-On vs. Testing

I'm not here to rehash broadly available public data, and I would advise anyone to actually to a baseline level of research by reading the 10-K, reading up on the industry, competition, etc.

Reddit's customers are advertisers. They come from multiple end markets, and ~50% of them are SMBs, and the other 50% are large companies, like the ones you see in the Fortune 500. But I like personally like to segment them based on their end-markets:

"Always-On" Status (Mature): Tech, Gaming, and Financial Services (specifically credit cards and fintech) reached evergreen status first due to the research-intensive nature of their products. CPG and Beauty also moved to always-on for community sentiment and "buzz-shaping".
"Primarily Testing" (Runway): Automotive remains "selective" due to long consumer journeys. Pharmaceuticals, Luxury Brands, and FMCG (mass market reach) are still largely in the "test-and-learn" phase due to brand safety concerns or a lack of impulse-buy alignment.

Although both segments remain fundamentally attractive as growth drivers, the focus of this write-up will be on the "Always-On" segment. Now, let's talk about sentiment and positioning amongst Reddit's shareholder base:

Setup & Sentiment - Why Does This Opportunity Exist Today?

Stock Price & TEV/Fwd. EBITDA - (NYSE:RDDT)

The short answer is that the street is unhappy with Reddit because it's a "software company." Reddit's stock is still below what it was pre-January. I don't think it requires much sapience to understand that Reddit is not an AI loser at all. Customers are clearly paying for Reddit's differentiated value proposition, which, in a world with more and more AI slop, becomes more and more important as time passes.

I'm sure many of you have seen, however, that Reddit is back up, hitting ~$200 today. But much of this is related to optimistic speculation around the data licensing deals, which, in my view, should only be treated as an embedded call option. Let's not forget that although data licensing revenue can skyrocket, it currently makes up less than 5% of rev.

Overall, the street has yet to give Reddit enough credit for its strategy. A strategy focused on growing DAU before monetization. Yes, the aggregate opinion of sell-side banks is bullish. But I'm talking about the stock price. For the most part, sell-side banks are heavily incentivized to post bullish reports (this is commonly known by institutions), and there are many more dynamics I could get into.

So with that being said, let's move to the main question - what is the investment case for Reddit?

Thesis I: Existing Advertiser Expansion Drives Sustained Revenue Growth

Reddit is transitioning from a customer acquisition story to a customer expansion story. My calls with customers and advertising agencies just over the past 2 months have made this very clear.

While active advertiser growth remains robust, the next phase of revenue growth will increasingly be driven by existing advertisers (advertiser growth up ~75% YoY, (Company Filings)), expanding budgets as campaigns graduate from small experimental tests to permanent, performance-driven allocations. Product launches such as CAPI, Dynamic Product Ads, Reddit Max, and Shopify integration have materially improved measurement, automation, and lower-funnel performance, which, according to my calls, were some of the main reasons Reddit remained as a test-pilot for so long. With Reddit actively pursuing improvement in these verticals, agencies have been actively noticing this and have had the confidence to increase their initial budgets by 10–20x.

Aggregating all the research I did, Reddit typically captures between 1% and 10% of an advertiser's total digital budget, though its share within the specific "paid social" bucket is higher, generally ranging from 5% to 20%. While Reddit remains significantly behind the "Core Four" (Meta, Google, Amazon, and TikTok), it is rapidly evolving from an experimental "test-and-learn" channel into a situational staple for many agencies. More info is shown below:

Level of Spend	Typical Percentage	Context & Platform Role
Total Media Mix	~3% – ~6%	Reddit is viewed as a "diversification" play alongside programmatic and CTV.
Paid Social Mix	~5% – ~20%	Reddit often ranks 3rd or 4th, trailing Meta (50-70%) and TikTok (20-30%).
Vertical Leaders	~20% – ~33%+	In high-intent niches like FinTech, B2B SaaS, and Gaming, Reddit can command a much larger share

As Reddit becomes an "always-on" platform for advertisers, revenue growth should increasingly come from higher spend per advertiser, supporting sustained ARPU expansion and improving customer lifetime value.

But why is this inflection happening now? And why do I think this growth can be sustained?

Well, this transition appears to be occurring because Reddit has spent the last several years systematically removing many of the barriers that historically prevented larger advertisers from committing meaningful capital to the platform. Historically, advertisers viewed Reddit as a useful source of consumer discussion but struggled to justify significant investment because measurement capabilities, attribution, automation, and brand safety lagged behind those of larger competitors. Campaigns were therefore typically small pilot programs designed to gather data. Just about a year ago, many of these SMBs were spending incremental amounts of their budgets on Reddit. We're talking maybe just a few thousand. But now, we're looking in the range of anywhere from 50 thousand to the mid-hundred thousands for any given SMB. And for the customers that already have Reddit as 5-10% of their budget, the median increase of spending for Q2 2026 was around 15-30% YoY.

Did I forget to mention that Reddit has not yet maximized its capabilities? Despite this, there is still growth coming from i) new advertisers and ii) advertisers who are allocating more of their budget to Reddit versus other platforms.

Let's remember that Reddit occupies a unique position within the digital advertising ecosystem. Unlike platforms centred primarily on passive content consumption, Reddit captures users actively seeking recommendations, validating purchase decisions, and discussing products with highly engaged communities.

That intent gives advertisers access to consumers much closer to the point of purchase than many traditional social platforms. As Reddit continues improving campaign measurement and machine-learning optimization, agencies increasingly view the platform as capable of delivering performance outcomes comparable to more established advertising networks. Consequently, the conversation among advertisers is gradually shifting away from whether Reddit deserves any allocation at all and toward determining how much budget should migrate from competing platforms. That shift represents a fundamentally different stage of platform maturity.

For investors, this evolution has meaningful implications for Reddit's long-term economics. Markets often focus heavily on quarterly user additions or new advertiser counts, yet mature advertising platforms derive an increasing proportion of revenue growth from expanding wallet share among existing customers on top of continuously acquiring new ones. Once advertisers integrate Reddit into annual media planning cycles, spending becomes more predictable, customer lifetime value increases, and incremental improvements in advertising performance can translate directly into larger budget allocations.

In other words, Reddit appears to be transitioning from a business driven primarily by customer acquisition to one increasingly driven by customer monetization. If this transition continues, it provides a durable foundation for sustained ARPU expansion that extends well beyond the current enthusiasm surrounding AI licensing and positions advertising.

Thesis 2: Auction Density Creates A Durable Pricing Power Mechanism

You may be wondering, "If SMBs were increasing spend YoY, by say, 20ish percent, how was Q1 rev growth ~70%? Well, new advertiser growth is a part of it, but the missing part of the puzzle here is price. Q1 2026 saw a price increase in the low-thirties YoY, and the reason for this is that as advertiser budgets expand, Reddit's highest-quality inventory becomes increasingly scarce. Unlike Meta, advertisers cannot simply manufacture more high-intent conversations inside communities like r/investing or r/gaming. Increased competition, therefore, raises CPMs faster than supply can expand.

On top of this, machine learning simultaneously improves conversion rates, allowing Reddit to charge higher prices while maintaining strong advertiser ROI, shifting Reddit from impression-driven growth toward yield-driven growth.

Perhaps the biggest misconception surrounding Reddit's advertising business is that increasing user growth should naturally pressure advertising prices lower. After all, more users create more impressions, and more impressions create more advertising inventory. In a traditional marketplace, an increase in supply should reduce pricing. Yet Reddit has experienced the opposite. CPMs for most customers have continued to rise despite rapid user growth, and I believe understanding why is critical to understanding the company's long-term economics.

The answer lies in recognizing that Reddit does not sell generic impressions like many of its peers. Simply put, it sells access to intent.

Unlike traditional social media platforms, advertiser demand is not distributed evenly across Reddit. Instead, advertisers increasingly concentrate their spending within a relatively small number of high-intent communities where users are actively researching products, comparing alternatives, validating purchasing decisions, or seeking expert opinions. Communities centred around investing, financial services, enterprise software, gaming, consumer technology, healthcare, and automotive research consistently attract disproportionate advertising demand because the commercial intent of users is significantly higher than a passive social feed.

This creates an important distinction between total inventory and economically valuable inventory.

While Reddit's overall advertising inventory continues expanding alongside user growth, the inventory within these premium communities grows much more slowly. There are only so many visits to r/investing, r/personalfinance, r/gaming, or specialized healthcare communities each day. More importantly, Reddit intentionally limits ad density to preserve user experience, meaning the supply of premium impressions remains structurally constrained. Now, if I were a bear, I would ask, "Won't international expansion offset this very mechanism in the long term?"

My answer to that is no. I don't think Reddit would send the same advertisements to an individual located in China as it would for someone in the U.S.

Thus, the bottom line here is that as advertiser adoption accelerates, competition for these limited impressions naturally intensifies, which pushes up price, thus pushing up LTV, which in theory could command a higher multiple.

This dynamic has become increasingly evident over the past year. Reddit reported active advertisers growing more than 75% year-over-year in Q1 2026 (as mentioned above), while my phone calls consistently described Reddit transitioning from an experimental platform into an "always-on" component of digital advertising budgets.

If you're curious about the evidence, agencies consistently identified advertiser density as the single largest driver of pricing power. Multiple agencies reported average CPM inflation of approximately 10% YoY, while premium verticals including technology, finance, SaaS, and gaming experienced substantially larger increases, with some campaigns seeing pricing increase by 40% or more due to particularly intense competition for limited inventory.

Importantly, this pricing power is not just a consequence of scarcity, but also continuous improvements in Reddit's advertising platform.

Historically, advertisers often struggled to justify larger Reddit budgets because campaign attribution and measurement lagged behind competing platforms. Product launches including Conversions API (CAPI), Dynamic Product Ads, Reddit Max, improved signal optimization, and machine-learning-driven bidding have materially improved lower-funnel performance across the platform.

According to both management commentary and agency interviews, conversion volumes have more than doubled year-over-year for many performance campaigns, while shopping-focused machine learning models have significantly improved advertiser return on ad spend.

If Reddit increases CPMs by 10%, but machine learning simultaneously improves conversion rates by 25%, advertisers ultimately experience lower effective acquisition costs despite paying higher prices per thousand impressions. Because return on ad spend continues improving, advertisers remain willing to bid more aggressively for inventory. Rather than pricing itself out of the market, Reddit captures a larger share of the economic value it creates.

As advertising products improve, campaign performance improves. Better performance encourages advertisers to allocate larger budgets to Reddit. Larger budgets increase auction density. Higher auction density raises clearing prices for premium inventory. The additional revenue generated funds further investment into advertising technology and machine learning, improving advertiser outcomes even further. Quite the feedback loop.

Importantly, Reddit has another lever available if demand continues to outpace supply.

Management has repeatedly stated that ad load should be viewed as a dynamic operating point rather than a fixed percentage. Unlike more mature advertising platforms, Reddit's estimated ad load remains substantially below peers, providing meaningful room for future inventory expansion. However, it was consistently emphasized in my calls that Reddit is intentionally conservative when increasing ad density, preferring to preserve user experience and allow auction pricing to appreciate naturally rather than flooding the marketplace with additional inventory.

An incredibly smart example of this is that Reddit purposely lowers ad load for logged-out users versus its logged-in users.

Overall, it looks to me that Reddit is no longer optimizing for impression growth alone. It is increasingly optimizing for outcome density as advertiser adoption continues to broaden and auction density increases.

This shift should support sustained pricing power while preserving attractive returns for advertisers, creating a monetization model that becomes stronger as more advertisers compete for Reddit's highest-intent communities.

Thesis III: The Runway for International ARPU Expansion

This is one of the most common bull cases I have seen for Reddit - closing the international versus U.S ARPU gap. This may or may not be a crowded thesis, but here is my take on it nonetheless.

Reddit's international business represents one of the largest untapped monetization opportunities among scaled internet platforms that I have seen. While investors frequently acknowledge the gap between U.S. and international ARPU, the discussion often stops there, treating the disparity as an inevitable characteristic of the platform. I believe the opposite is true. The overwhelming majority of evidence gathered from former executives, advertising agencies, and enterprise marketers suggests that Reddit's international monetization gap is not primarily a function of weaker user quality or structurally lower advertiser demand. We need to remember that Reddit has always been a business that deliberately prioritized building global engagement before investing in the commercial infrastructure necessary to monetize it. As Reddit increasingly shifts resources toward international sales, localization, machine learning, and advertiser support, the company's existing U.S. advertising playbook becomes highly portable, creating the potential for several years of sustained ARPU expansion.

Today, Reddit's monetization remains heavily concentrated in North America despite international markets accounting for the majority of its users. This imbalance exists for several reasons. The first is that Reddit has always lacked the local sales organizations necessary to develop relationships with major advertising agencies outside the United States. Large global advertisers rarely allocate meaningful budgets through self-service advertising tools alone. Instead, they require local account teams capable of building joint business plans, providing campaign support, educating agencies, and demonstrating return on investment.

Former executives consistently described Reddit's international commercial organization as significantly underdeveloped relative to competitors such as Meta, Google, and TikTok, all of which maintain extensive local sales operations across Europe, Asia-Pacific, and Latin America. Without these relationships, advertisers frequently limited Reddit to small experimental campaigns rather than integrating the platform into long-term media plans.

Second, Reddit's product itself has historically presented barriers to international adoption. Unlike visual social media platforms that require relatively little localization, Reddit depends upon language, cultural context, and community participation. New users outside North America frequently encounter unfamiliar terminology, fragmented onboarding experiences, and difficulty discovering locally relevant communities. Machine translation has improved substantially, but historically lacked sufficient contextual understanding to make conversations feel native across languages. Several experts argued that this "translation gap" represented one of Reddit's largest product weaknesses internationally, reducing both engagement and advertiser confidence.

However, recent progress suggests this limitation is becoming increasingly solvable. Reddit has already translated approximately one billion posts across more than thirty-five languages while simultaneously deploying AI-driven onboarding systems designed to connect new users with relevant communities immediately after joining the platform. As large language models continue improving contextual translation rather than simple word-for-word conversion, Reddit's historically U.S.-centric content becomes increasingly accessible to international audiences.

Importantly, the commercial constraints limiting international monetization appear operational rather than structural. Unlike challenges involving user behavior or competitive positioning, operational deficiencies can be addressed through investment. Reddit has already begun expanding sales organizations across EMEA and APAC, increasing investments in localized marketing, improving geo-specific audience targeting, and adapting its successful North American advertiser playbook for international markets. Experts repeatedly emphasized that many global advertisers already want access to Reddit's audiences but simply lack sufficient commercial support to justify larger budget allocations. As local agency relationships mature and advertiser education improves, Reddit should increasingly experience the same budget migration from "test-and-learn" campaigns toward permanent, always-on spending that is currently occurring in North America.

The company's technological investments further strengthen this opportunity. Machine learning improvements are making international advertising increasingly effective by improving audience modeling, campaign optimization, and contextual targeting across different regions. At the same time, Reddit retains substantial flexibility to increase ad load internationally without materially harming user experience.

Management has repeatedly indicated that monetization outside the United States remains significantly below domestic levels, providing additional room for ARPU expansion even before considering future pricing improvements. In effect, Reddit possesses multiple independent monetization levers internationally: higher advertiser penetration, increased advertising density, improved pricing through stronger performance, better localization, and larger enterprise sales organizations. Few mature internet platforms still possess this many simultaneously available growth vectors.

Perhaps most importantly, however, Reddit is no longer attempting to invent an entirely new international strategy. The difficult work has already been completed domestically. Reddit has demonstrated that communities built around high-intent discussions can attract meaningful advertiser budgets once measurement, attribution, automation, and brand safety reach enterprise standards. International expansion, therefore, becomes less about discovering a new business model and more about replicating an existing one across additional geographies. While regional differences undoubtedly exist, the underlying advertising economics remain remarkably similar. The company has already shown encouraging results in markets such as India and is increasingly applying the same localization framework across Europe and Latin America.

Thesis IV: The Case for Incremental Upside from Data Monetization

Right now, everyone assumes that Google pays Reddit $60M/year. However, research suggests that Reddit's bargaining position may be stronger than many investors appreciate. Reddit's dataset is one of Google's most critical external AI assets because it provides continuously refreshed, human-generated, moderated content that is difficult to replicate elsewhere. The expert emphasized that as foundation models mature, maintaining access to fresh conversational data becomes increasingly important for inference quality rather than just initial model training

However, multiple industry conversations suggest that future licensing agreements are likely to evolve away from simple flat-fee structures toward usage-based or consumption-based economics. If that transition occurs, Reddit's monetization opportunity scales alongside AI adoption as a whole (this may be priced in, given the recent stock price movements)

As we know, Reddit has spent nearly twenty years building what appears, in hindsight, to be one of the most valuable datasets on the internet: billions of authenticated, moderated, constantly updated human conversations surrounding nearly every commercial decision imaginable. For most of its history, that asset was dramatically under-monetized. Today, two independent monetization engines are emerging simultaneously. The first is advertising, where Reddit is transitioning from an experimental channel into a core performance platform. The second is AI licensing, where every incremental advance in foundation models increases the value of Reddit's unique corpus of human knowledge. These businesses reinforce one another. Better communities improve advertising. Better communities improve AI data. Better monetization funds better communities. If that flywheel continues to strengthen, Reddit may ultimately prove to be less a social media company than a piece of commercial infrastructure for both digital advertising and artificial intelligence.

Overall, the licensing story should not be viewed purely through the lens of contract size. AI companies increasingly depend on fresh data during inference, where models continuously retrieve current information rather than relying solely on static training corpora. Because Reddit produces millions of new, moderated discussions every day, its data becomes more valuable as AI usage scales. In other words, Reddit is selling a continually refreshed information stream.

"Does Reddit have a reliance on Google, or does Google Have A Reliance on Reddit?"

I think that while Reddit remains dependent on Google for discovery, Google increasingly depends on Reddit for differentiated human-generated knowledge that is becoming harder to replicate as the web fills with AI-generated content.

Valuation

Disclaimer: I am currently in the process of building a valuation model. I will do my best to update this post as soon as I can.

It's hard to say what Reddit's stock should trade at, given the timing and robustness of its cash flows. But I'll tell you that it certainly isn't $200.

Risks

Google renegotiates aggressively

Reddit Max underdelivers

Community quality deteriorates because of monetization

AI reduces Reddit traffic faster than monetization replaces it

AI-generated content pollutes Reddit's corpus, reducing its value to LLMs

CPM inflation slows if advertiser growth plateaus

The Catalyst Path to Getting Paid

What better catalysts are there than earnings beats driven by any of the above drivers mentioned?

CapEx spending on infrastructure and marketing/sales

Deal signed with Anthropic, Google or OpenAI

Buybacks

Key KPIs to Track

International ARPU growth

DAUs

Continued calls with customers - focusing on CPMs, wallet share, etc.

Conclusion

Congratulations on getting through all of that. As mentioned earlier, this is not the full investment thesis, and I will try my best to get the full write-up done (amidst internship recruiting and work). Also, I would appreciate any pushback and am happy to do my best to answer any questions!

Thanks for reading!
This is not investment or financial advice. Please do your own due diligence.

A deep dive on RDDT for those who have the time

Reddit–Google: Consensus is pricing this backwards

My View on Reddit ahead of Q2 Earnings

AI & Investment Research

Mispriced Stocks & Pitching Stocks