$ZETA releases a statement on $CRM Intent to Acquire $BRZE Salesforce's acquisition of Braze creates a significant competitive opportunity for Zeta at a pivotal moment in enterprise technology. Both companies are addressing fundamental gaps in their platforms. Salesforce needs modern engagement capabilities, and Braze needs a stronger enterprise data and intelligence foundation. Neither possesses Zeta's proprietary data asset, an increasingly important competitive moat in the AI era. Neither has artificial intelligence native to its architecture; both require an API step-out. The combination introduces substantial integration risk just as AI is redefining enterprise software. For Zeta, the opportunity is to accelerate the replacement cycle already underway, capture a meaningful increase in RFP activity and extend our AthenaOS lead while competitors focus on integration.

I don't think people realize how bullish this is for $ZETA. In every measurable and immeasurable way, Zeta is a significantly better company than $BRZE. Better fundamentals. Better business model. Better partners. Stronger MOAT. Elite executive team. This acquisition by $CRM is telling you the market price for Zeta should be much higher than where it sits today.

$ZETA x $BRZE Braze was just acquired for $5.66B. Revenue Growth TTM: 27.44% P/S TTM: 6.8x (based on $5.66B acquisition price) P/FCF TTM: 66.9x (based on $5.66B acquisition price) Zeta sits at a market cap of $8.16B. Revenue Growth TTM: 35.91% P/S TTM: 5.19x P/FCF TTM: 36.4x Zeta feels pretty undervalued here. All numbers from @stock_analysisx

BREAKING: Salesforce $CRM acquires Braze $BRZE. From the press release: Following the close of the transaction, Braze’s real-time engagement and AI decisioning capabilities are expected to complement all four layers of Salesforce’s architecture — Data 360, Customer 360, Agentforce, and SIForce. Within Customer 360, Braze is expected to strengthen Marketing Cloud’s cross-channel personalization, helping brands turn a deeper view of each customer into richer experiences, optimized in real time at the scale needed to reach hundreds of millions of people. These capabilities would advance Salesforce’s vision for a more complete Customer 360 and expand how brands connect with customers across high-volume B2C experiences. Salesforce and Braze also share a commitment to an open, composable approach that gives customers flexibility across the data, tools, and partners they rely on.

$ZETA x $GTM One thing announced at Zeta Live 2026 that flew under the radar was Zeta's expansion of its B2B marketing capabilities and partnership with ZoomInfo. Through BuyerPulse, Zeta can help organizations determine which accounts to pursue and which people within those accounts to target. For example, imagine a company selling enterprise software to large retailers. BuyerPulse can use technographic intelligence to show which technologies those retailers already have in their stack. This helps marketers identify accounts that fit their ideal customer profile and tailor their approach accordingly. From there, Athena Intelligence can expand an existing account-based marketing (ABM) list by identifying additional companies worth pursuing. Marketers can then identify the buying group within each account by narrowing down relevant departments, job titles, seniority levels, and potential decision makers. Zeta also highlighted its ability to link B2B data with B2C data to identify individuals who are reachable and most likely to respond. The result is a more targeted approach to B2B marketing: identify the right accounts, understand their technology environments, find the relevant people, and reach them through targeted campaigns.

What happens when $ZETA ends up in the 2 or 3 spot twelve months from now? There's no chance they're growing less than 35% over the NTM.

$ZETA I've been thinking about the @GoSenso acquisition, trying to understand its capabilities and how the technology might be applied outside of GEO. I think there could be some interesting applications from a business intelligence and decisioning standpoint by leveraging a verified context layer. We need to take a step back to understand what Senso does. At a basic level, Senso helps businesses turn their existing knowledge into a trusted context layer that AI can use. You feed it relevant company documents, brand guidelines, policies, rules and other sources of institutional knowledge. That information becomes accessible to users and AI systems, allowing them to ask questions in plain English and receive answers grounded in the underlying information. This got me thinking... What is one of the largest, most complex and fragmented organizations that could benefit from a unified, searchable layer of institutional knowledge? Federal and local government agencies. Think about how much information is spread across different departments, databases, contracts, regulations, policy documents and legacy systems. The challenge isn't necessarily a lack of information. It's being able to find the right information, understand how it applies to a particular situation and use it to make better decisions. To be clear, this is just me exploring different potential applications of the underlying technology. GEO is the obvious application, but it's easy to see how this technology could extend into business intelligence, operational decisioning and other areas where AI needs reliable context to be useful. Just a little food for thought.

$ZETA $G I have discovered another $ZETA client through a string of job posts. Genpact describes itself as an agentic and advanced technology solutions company that leverages process intelligence and artificial intelligence to deliver measurable outcomes. Here is one of the recent job posts: Sr. Analyst - Business Data Services This role will be responsible for executing marketing campaigns for one of largest North American banks and their retail clients. The Sr. Analyst will support campaign mapping and cross-platform workflows with a functional understanding of the Zeta platform ecosystem.

$ZETA Increasingly, more Americans are using AI to help with their purchasing decisions. This is why GEO (Generative Engine Optimization) is becoming so important. Brands need to understand how they are represented in AI generated responses, where they appear in recommendations, and how that visibility changes over time. According to Statista's Consumer Insights Data, 44% of respondents used AI to help them find better value for their money. Through API access to major LLMs, $ZETA helps brands understand their visibility and representation across AI generated responses and recommendations. GEO is still an emerging business, but it's becoming increasingly relevant as AI plays a larger role in consumer purchasing decisions. Source for graphic: @a16z

This is why I didn't rush in to buy the dip on names twitter keeps telling you is cheap. $CRWV $NBIS $IREN $AMD insert your favorite AI stock. The market has been looking for a reason to sell off. This is similar to last year around this time. The market was sideways and every little headline or Trump tweet shook the market. This time around it was $CRWV bonds and Anthropics (impressive) but not enough reported revenue. There are real headwinds. Be patient. Manage capital. Look for the best risk/reward.

BRAD GERSTNER: - WE HAVE SOLD ALL OUR $CRWV COREWEAVE, DON'T OWN ANY OF IT TODAY - WE'VE TAKEN EXPOSURE DOWN OVER THE LAST 3 MONTHS, WE FELT AI HAD OVERSHOT AND WOULD LEAD TO A PERIOD OF CONSOLIDATION - MOVED 10% OF OUR BOOK INTO $META AND $TSLA as of the last 13f filing on 8/14, which accounts for all trades up until 6/30, Altimeter reported a stake of 6M shares in which they added 1.5M shares in Q2 since then, they seemed to have liquidated the entire position and rotated

Yields are falling alongside equities. I've seen many people confused about why. A falling stock market can reduce future inflationary pressure through the negative wealth effect. As asset prices fall, households feel less wealthy and may cut spending, weakening demand and easing inflation expectations. On the surface, this seems counterintuitive because investors typically view falling yields as bullish for stocks. But there's a difference between yields falling and pulling equities higher, and yields falling in response to a deteriorating growth outlook. In this case, the selloff may be contributing to lower yields, rather than lower yields driving the selloff.

A lot FinX is in complete disarray over what's happening to the AI trade. There are legitimate reasons to be concerned, and it's funny watching these financial influencers either confused as to why they are getting wrecked or some that are still detached from reality screaming to buy every dip on profitless companies. When strong earnings no longer drive quality stocks like $MU or $NVDA higher you should have asked yourself why that is. The market is questioning how sustainable this growth is at current valuations. All it takes is one hyperscaler slowing spending to trigger a domino effect. Or YoY growth coming in below expectations because the comps have become so absurdly high. Growth can still be incredible and a stock can sell off. Slowing growth is a signal of what's potentially ahead, and nobody wants to be the last one at the party. OpenAI and Anthropic are both growing incredibly fast, but their future spending commitments are enormous. The question is whether their revenue and financing can keep pace with those obligations. If not, they'll need additional capital, spending adjustments, or both. Then you have the neoclouds being valued on ARR that may not materialize for years. $NBIS was arguably smart to favor shorter contracts, while $CRWV locked in longer-term deals at lower prices. But neither approach eliminates the risk. Eventually, growth will normalize, competition will increase, and customers will have more leverage in contract negotiations. I don't know if that's 12, 24 or 36 months from now, but the economics won't stay this favorable forever. I'm not saying these are bad companies or that they can't do well in the future. But so much has already been priced in and the market needs time to see follow through execution. This entire trade is built on enormous expectations, and too many investors are treating those expectations as guarantees. There are many unprofitable companies carrying insane valuations. We're talking about companies worth tens of billions of dollars with no clear path to justifying those valuations if growth or margins disappoint. Meanwhile, debt is piling up, and there's no guarantee every projected commitment turns into realized revenue. To be clear, I don't think the bubble is popping, but I do think the market needs a reset. Expectations need to come down. We've already seen that process play out over the past few months across many of the popular bottleneck stocks. Since the Leopold incident, many of these names haven't recovered. Some are down 30%, 40%, 50% or more. I wouldn't count on a V-shaped recovery across the board. I think many of the "bottleneck" names are dead money. I wouldn't touch 80% of the stocks many big accounts pushed over the last 9 months. Eventually, money will flow back into the quality infrastructure plays. I'm not an AI bear. I'm just grounded in reality. There have been plenty of opportunities outside the AI trade over the past two years. I remain 100% invested in this market. I sit on zero cash. But I am diversified outside the AI trade. And I don't want to hear the hindsight bias argument. I was bullish on software when nobody wanted it. I've avoided the AI trade entirely in 2026 and still managed to generate multi hundred percent returns across my portfolios over the past couple of years. I've shared my positions and returns in here a few times. I have also been vocal in calling out the bottleneck bros. So this is not hindsight bias. This has long been my stance. I didn't even touch on the macro environment, the Fed, Iran, inflation, and everything else weighing on markets. If any of this is a surprise to you, you're following the wrong people.

Your regular reminder that watching every tick of the market probably isn’t helping your returns or your sanity. Days like today are part of the deal. Unless you’re overleveraged or your thesis has changed there’s probably nothing you need to do. Do you still believe this aI driven tech cycle will make the economy dramatically more productive and efficient? If so days like today shouldn’t change much.

$ZETA I want to take a moment to reflect on what @dsteinberg10000 and the @ZetaGlobal team have accomplished so far in 2026. January 2026: Announced a strategic collaboration with OpenAI. May 2026: Joined the $SNOW led Open Semantic Interchange initiative to advance data interoperability. June 2026: Signed a 7-year joint GTM partnership with $PLTR. June 2026: Named $GAP's system of record. June 18, 2026: Expanded Athena to agencies. July 2026: Hired former Intel and Synopsys veteran Trey Campbell to lead Investor Relations. August 2026: Hired former Salesforce Marketing Cloud and ActionIQ executive Leah Pope as CMO. October 5, 2026: Announced an agreement to acquire Senso. October 6, 2026: Announced an agreement to acquire Digital Audience. October 8, 2026: Held Zeta Live 2026, more than doubling last year's attendance with over 3,000 attendees. October 8, 2026: Unveiled AthenaOS and Athena Agent MCP. October 8, 2026: Unveiled Athena Inference Models and announced partnerships with $NVDA and Fireworks AI. October 8, 2026: Announced plans to develop a specialized inference chip and supporting data center infrastructure with an unnamed semiconductor partner. What is wild is that we are just getting started.

$ZETA Former head of product X @nikitabier "If you’re building something that is meant to be durable, the only moats now are.... proprietary data, network effects, physical component." One day in the not too distant future, the market will catch on and understand that data is the electricity that fuels intelligence. The companies that own proprietary first party data will ultimately win in the Era of Super Intelligence.

$ZETA MASSIVE upgrade by Roth MKM this morning. PT: $44 → $55

What happens to the advertising business when the interface that monetizes human attention is no longer the interface making the decision? How do companies like $AMZN with their sponsored ads and $GOOG who sells ad placements navigate in a world of agentic commerce? Maybe a new gatekeeper emerges. Whoever controls an agent's decision process could control access to commercial demand. Will platforms like $META's Muse and @OpenAI's ChatGPT sell recommendations to agents or prioritize paid recommendations for products and services on their platforms? The counterargument is that doing so would erode trust. But how is that fundamentally different from Amazon's sponsored ads or Google selling placement in search results? Marketing will always have a place and could become more valuable than ever. The question is how it evolves. Advertising, however, feels far less certain in an agentic world.

$ZETA x $PLTR In this clip, @chamath indirectly explains why data and AI sovereignty become critical in the era of Super Intelligence. "I think that IP and software was effectively rendered worthless two days ago. Because if you think about it, when everything is headless, so when Elon makes his services headless, Benioff made Salesforce headless a few months earlier, when all of these things are headless, and you can wrap them in agent tools and you can connect them via MCP to other experiences, the value of IP does no longer exist in software. It doesn't exist." As software becomes commoditized, the advantage shifts to the companies that own the underlying data and intelligence that powers it.

$ZETA AthenaOS isn’t just another piece of enterprise software or a marketing point solution. It’s an intelligent operating system built to drive real-world business outcomes. Traditional enterprise software is organized around applications, dashboards and predefined workflows. You learn the system, navigate its tools and adapt your processes to what the software allows. AthenaOS takes a different approach. Instead of starting with a tool or workflow, you start with the outcome you want to achieve. Athena works backward from that goal, using its understanding of your business, customers and context to identify opportunities and operationalize them in a single canvas. The system adapts to the user, not the other way around. By connecting intelligence, decision-making and execution, AthenaOS aims to remove the friction between knowing what needs to happen and making it happen. And AthenaOS isn’t just confined to Zeta’s own platform. Athena MCP brings Zeta’s intelligence into the enterprise’s existing applications, agents and workflows, extending where that intelligence can be accessed and applied. The entire system is built around one idea: making better decisions. Better decisions lead to better actions, and better actions lead to better business outcomes.