Note: This is an earnings call transcript. Content may contain errors.

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DATE

Oct. 30, 2025 at 4:30 p.m. ET

CALL PARTICIPANTS

Chief Executive Officer and Chairman — George Colony

Chief Financial Officer — Chris Finn

Chief Product Officer — Carrie Johnson

Chief Sales Officer — Nate Swan

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RISKS

Chris Finn stated, "The consulting business has been meaningfully impacted by the cost-cutting measures enacted in the US federal government, and we see these challenges continuing next year."

Finn further noted, "the outlook for the events business remains challenged, specifically the outlook for sponsorship revenues. The events team continues its work in addressing these issues."

Finn said, "we are downward adjusting our revenue guidance based on the performance of consulting and events."

TAKEAWAYS

Total Revenue -- $94.3 million in adjusted, non-GAAP revenue for Q3 2025, $94.3 million in total revenue, representing an 8% year-over-year decline, driven by both consulting and research segment weaknesses.

Research Revenue -- $72.7 million in adjusted research revenue, down 6% compared to Q3 2024 (adjusted), with core subscription products decreasing 5% (excluding FeedbackNow divestiture, research revenue declined 4%).

Consulting Revenue -- $21.5 million, fell 8% on an adjusted basis due to lower US federal government demand, offset by double-digit advisory growth (adjusted, non-GAAP).

Events Revenue -- Insignificant this quarter, as a major North American event was shifted into Q4.

Client Retention -- 74%, flat quarter over quarter; wallet retention was up one point to 86% from the prior quarter, amid enrichment challenges.

Contract Value (CV) -- Contract value (CV) declined 7% compared to the prior quarter, consistent with trends from the previous two quarters; average CV per client increased 5% to $162,000 for the year.

Operating Income -- $9.9 million in adjusted operating income, up 21% on an adjusted basis; operating margin of 10.5% this quarter compared to 8% in Q3 2024, aided by cost reductions and event timing.

Net Income -- $7.2 million (non-GAAP), a 30% increase (non-GAAP) in net income compared to Q3 2024; earnings per share rose 28% to $0.37 compared to Q3 2024.

Operating Expenses -- Declined 11% on an adjusted basis, driven by lower compensation and reduced headcount (down 8%).

Cash Flow -- Year-to-date operating cash flow totaled $24.3 million; capital expenditures totaled $1.9 million year-to-date.

Capital Management -- $2.4 million in share repurchases completed, leaving $77 million authorized; end-of-quarter cash stood at $132 million, with $35 million total debt.

AI Access Product Launch -- Debuted Sept. 9; pipeline labeled "multimillion-dollar fast-growing," with a landmark contract from a large government agency.

Sales Execution -- Average time to hire reps improved to 55 days; highest percent of sales reps FAST-certified, and managers now fully qualified for FAST deal clinics.

Guidance Update -- Full-year revenue outlook revised to $395 million–$405 million, down 6%–9%; operating margin now expected at 7.5%–8.5%, and EPS at $1.15–$1.25.

Customer Demographics -- AI Access is positioned for executives needing research access sans analyst guidance, aiming to "democratize" research use at large scale, according to George Colony.

Government Pipeline -- Despite ongoing federal headwinds, Carahsoft agreement aims to drive government access; early traction reported, but no financial impact yet.

SUMMARY

Management explicitly cited persistent macroeconomic pressures and lower US government spending as key drivers of an 8% annual revenue decline and highlighted continued challenges for both consulting and events segments, resulting in revised lower guidance for full-year revenue, margin, and EPS. Launch of the AI Access product in mid-September quickly produced a large government contract and generated what leadership called a "multimillion-dollar fast-growing" pipeline just weeks into the release of AI Access, with management reporting strong client interest and notable international momentum. Savings from reduced headcount and strictly managed expenses drove a 21% rise in operating income and a 28% jump in earnings per share on an adjusted basis, even as company-wide contract value fell 7% year over year. Company leaders stressed a strategic shift toward landing and expanding within accounts via differentiated offerings like AI Access, emphasizing Forrester (FORR +6.73%)'s proprietary research assets versus public AI models as the foundation for future growth.

Chief Product Officer Carrie Johnson stated, "For every pushback or client or prospect conversation that we have, asking to compare us to the public models, we have more than that asking to actually put our data and insights into their employee environment so they're getting trusted insights to empower their employees."

Average time to conversion for the emerging tech sales team fell 27%, dropping from roughly 80 to 59 days.

Nate Swan confirmed, "Our end-user new business team really struggled for about six months. I'm starting to see some rays of sunshine from them as they go into the fourth quarter," pointing to new opportunities in financial services, manufacturing, and CPG.

Management identified volume pricing and enterprise-wide access as differentiators for AI Access, enabling entry-level use for thousands of executives per client.

INDUSTRY GLOSSARY

Wallet Retention: The percentage of contract value retained among renewing clients, reflecting upsells and downsells within the existing customer base.

Contract Value (CV): The aggregate annualized revenue value of all active client contracts at a given point in time, used to assess renewal and growth trajectory.

Forrester Decisions: The core research and advisory subscription platform comprised of tiered offerings (VIP, Leader, Team, and AI Access) tailored to executive and team needs.

FAST (Forrester Agile Sales Technique): The internally developed, process-driven sales methodology focused on accelerating deal cycles and improving conversion rates.

Carahsoft: A public sector IT aggregator and government solutions provider engaged as a go-to-market partner for Forrester to expand access within federal and state agencies.

IZOLA: The proprietary generative AI model, deployed within Forrester Decisions and the new AI Access offering to deliver research-driven insights distinct from public large language models.

Full Conference Call Transcript

Ed Bryce Morris: Thank you. And hello, everyone. Thanks for joining today's call. Earlier this afternoon, we issued our press release for the third quarter 2025. If you need a copy, you can find one on our website in the investors section. Here with us today to discuss our results are George Colony, Forrester's Chief Executive Officer and Chairman, and Chris Finn, Chief Financial Officer. Carrie Johnson, our Chief Product Officer, and Nate Swan, our Chief Sales Officer, are also here with us for the Q&A section of the call. Before we begin, I'd like to remind you that this call will contain forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995.

Words such as expects, believes, anticipates, plans, intends, estimates, or similar expressions are intended to identify these forward-looking statements. These statements are based on the company's current plans and expectations and involve risks and uncertainties that could cause future activities and results of operations to be materially different from those set forth in the forward-looking statements. Factors that could cause actual results to differ are discussed in our reports and filings with the Securities and Exchange Commission, and the company undertakes no obligations to publicly update any forward-looking statements whether as a result of new information, future events, or otherwise.

Lastly, consistent with our previous calls, today we'll be discussing our performance on an adjusted basis, which excludes items affecting comparability. While reporting on an adjusted basis is not in accordance with GAAP, we believe that reporting numbers on this adjusted basis provides a meaningful comparison and an appropriate basis for our discussion. You can find a detailed list of items excluded from these adjusted results in our press release. And with that, I'll hand it over to George.

George Colony: Good afternoon, and thank you for joining Forrester Research, Inc.'s 2025 Q3 Investor Call. Today, I'd like to cover the following topics: one, our Q3 performance; two, an update on our go-to-market approach; three, the launch of the new AI Access product; four, the research business in the age of AI; and five, feedback from our board of clients. The macroeconomic environment continued to be challenging in Q3, highlighted by the rolling U.S. Federal government pullback from consulting. Q3 is historically the largest bookings quarter for our government consulting business. We were well below our target, and overall consulting revenue declined 8% from the prior year.

In addition, research revenue declined 6% in the quarter driven by bookings and challenges from previous quarters. Total revenue declined 8% from the prior year. Wallet retention was up a point to 86%, and client retention held at 74% compared to Q2. Chris will give more detail on the quarter in a few moments. In the Q1 and Q2 calls, I noted that the final step in the product transition is transforming our sales engine to consistently sign new Forrester Decisions clients and grow existing accounts. We made progress in the quarter on several fronts. One, average time to hire reps is running at fifty-five days, improving on our goal of sixty days.

And there's very good sales talent available in the market. Two, the sales force continues to adopt the Forrester Agile Sales Technique or FAST sales methodology. We ended the quarter with the highest percentage of reps certified and with all managers now qualified to run FAST deal clinics. And three, our demand marketing engine continues to improve, driven by stronger alignment between our sales and marketing teams. The result has been increased prospect follow-up and a higher rate of opportunity creation from marketing efforts. Areas where we are focused in Q4 are: one, maintaining consistent sales activities; two, improving execution of our retention life cycle; and three, maintaining a rolling pipe of $550,000 per quota-bearing headcount.

Moving now to product changes. We announced AI Access, a self-service AI offering, on September 9. As you know, IZOLA, our generative AI model, launched over two years ago. Clients use IZOLA on the Forrester Decisions platform as an alternative to search, enabling them to quickly get answers and to create custom content from Forrester's proprietary model. IZOLA has become one of the primary ways that clients use our research.

For clarity's sake, IZOLA is a model built by Forrester that yields answers based on Forrester's research. This content is not available in any other generative model, including the public LLMs, such as Claw from Anthropic, ChatGPT from OpenAI, and Gemini from Google. Unlike the public models, Forrester's private model is based on tens of thousands of Forrester Research artifacts, which include exclusive frameworks, ideas, data, product evaluations, best practices, and benchmarks. The Forrester model yields answers that are proprietary and trusted. So where does AI Access fit in our product portfolio? The current Forrester Decisions portfolio includes three levels of research access: VIP, which is research plus a dedicated adviser; Leader Seat, which is research plus the ability to have unlimited guidance sessions with analysts; and Team Seats, which offer research plus the ability to attend leaders, guidance, and inquiry sessions. Clients have told us that in addition to VIP, Leader, and Team users, they want more executives using Forrester's research without access to advisers, customer success, or analysts. These executives are often part of the VIP or Leaders teams, but they don't yet need continuous guidance. So AI Access provides an entry level for executives within our client companies to use our research, accessing Forrester through an AI prompt and IZOLA homepage. We introduced the product for three reasons.

One, to attract new clients. AI Access will widen our client base and enable more executives to use Forrester. Two, enrichment. AI Access provides streamlined self-service and a fast, trusted way for clients to get answers. And three, win backs. We will use AI Access to reintroduce former clients to Forrester Decisions. With the advent of AI Access, we have widened the Forrester Decisions portfolio, enabling us to land and expand with a wider group of executives and helping them align their initiatives and thinking. We are democratizing access to our research, making it easier for larger teams to get the answers they need to make collective decisions. AI Access is our entry-level research product.

Volume pricing is available based on the number of seats acquired. Since the mid-September launch, we have seen significant interest with a multimillion-dollar fast-growing sales pipeline. In Q3, we secured one of the largest research deals in Forrester's history with a large government agency that is modernizing their organization and is pushing toward fully AI-enabled decision making. Our ability to offer this client an enterprise-wide pricing model via AI Access was a key differentiator, enabling thousands of users to gain access to our research in that account. We are off to a great start with AI Access and believe that the product will quickly become an important part of the Forrester Decisions portfolio.

Now before I leave the topic of AI, I want to say a few words about Forrester's place in the AI future. I know that there have been many questions about the value of research in a world in which public large language models are becoming more adept at answering questions. In that future, what will Forrester's role be? Generative AI is good at enabling people to converse with broad datasets. In the case of the public language models like ChatGPT, that dataset is built from what is called the common crawl, publicly available information scraped from websites. But as you know, that information does not include private data from sources like Bloomberg, Dun and Bradstreet, FactSet, or Forrester.

And, of course, the public models do not include information like your bank account. To converse with that data in the future, you'll have to go to a private AI model built by Bank of America or Barclays as examples. Public AI will never be able to construct trusted data from thin air, just as it will not be able to conjure your bank balances without access to your bank. So in the age of AI, Forrester will be akin to a private research bank, creating and curating proprietary assets. One, data. We will construct protected datasets and analyze them against longitudinal studies that the company has built over the last three decades.

Two, original ideas and frameworks like our zero trust security model. Three, complex analysis that combines ideas and data. An example would be our total experience score that marries customer experience data with brand data. And four, proprietary information that forms the basis of the client-Forrester relationship. Client priorities and initiatives would be an example.

Of course, Forrester will leverage AI as we do with IZOLA to help our clients use these assets. But this information will not be available in public models. Also, while we believe that the future will be driven by AI, there will continue to be HI, human intelligence, driving knowledge and thought in society. This is not a robot moment when the androids arrive to take all of our jobs. It is rather an Iron Man moment when humans will put on suits of generative and agentic AI and become more powerful for their customers.

Yes, there's a lot of AI at work, but inside the suit is still a human being that is able to channel AI to deliver the highest value. That's exactly what Forrester is doing with IZOLA and AI Access. Using AI to become more powerful and more useful to its clients and to the world, while also offering access to the analysts that created the research in our model. The word hovering over any discussion of AI is the word trust. When executives are making important business and public policy decisions, they must trust the information to train the AI model and that the model yields accurate answers backed by trusted data and trusted people.

Forrester serves executives at some of the world's largest companies and government agencies. These clients are making decisions that will have long-term impact on the futures of their organizations. Yes, they will use AI to make those decisions, but they will rely on trusted AI. And that is what Forrester provides. Forrester's executive team met with the company's board of clients in September. For many years, this board has advised us on strategy, product, and research direction. The members are trusted advisers to Forrester, and Forrester is a trusted adviser to their companies. The board is comprised of client executives who serve for three years. Current companies represented include Air France, AG Insurance, Ameritas, IBM, Nationwide, Travelers, and SAP Concur.

I'm not going to go through a full summary of the board meeting, but I wanted to give you a few quotes from the members when we asked them why do you use Forrester? Here are a few responses that I thought were illustrative of our value to clients.

"You sharpen my thinking and helped me define a new strategy." "I use you for two things, knowledge of technical intricacies and bold advice." "You give me backup and justification to move forward on projects." "I love the benchmarks and associated future data mapping strategies it helps me develop." "You're in it with us, setting us up for success, helping us pressure test solutions, breaking down our company silos." And the final quote, "I don't make a major decision without checking in with Forrester.

It's a privilege to work with you." The board of clients was very supportive of the launch of AI Access, and much of the meeting was devoted to board members guiding us on pricing, positioning, and packaging of the new product. So to conclude, we continue to work through the economic moment by one, staying focused on improving our go-to-market motion; two, improving the Forrester Decisions platform; and three, carefully controlling expenses. We are very excited to be introducing AI Access, and we look forward to using AI to democratize access to our research and to further establish Forrester as the AI research company. Thank you for listening to the call.

And I'd now like to hand it over to Chris. Chris?

Chris Finn: Thanks, George, and good afternoon, everyone. The third quarter saw an exciting product launch with AI Access. We experienced immediate market validation with bookings and a landmark large enterprise deal incorporated in this new product just weeks after its release. Although the ongoing dynamics in the marketplace continue to negatively impact all three lines of business, we delivered operating margin and EPS above consensus. And we continue to see stabilization in the research business, with research revenue down 4% excluding the divestiture of FeedbackNow. An improvement on the last quarter's performance. It is early in the sales cycle, but we are anticipating our new AI Access product to have a positive impact on Q4 and 2026 CV performance.

Our consulting and events businesses continue to face headwinds in a tough selling environment. The consulting business has been meaningfully impacted by the cost-cutting measures enacted in the US federal government, and we see these challenges continuing next year. A shift in the timing of one of our larger events negatively impacted the results this quarter, and we see ongoing impediments for that business over the medium term as new leadership is evolving our offering and go-to-market motion. The fourth quarter is our largest bookings period, and we are positive of our pipeline. However, we are downward adjusting our revenue guidance based on the performance of consulting and events.

This revenue adjustment flows through to a modestly lower margin and EPS guide for the year. Q3 saw a 7% CV decline. This is a continuation of the last two quarters' performance. We anticipate improved performance in the fourth quarter to come from the growing pipeline for the new AI Access product. Therefore, even with the continuing uncertainty in the market, we are expecting CV to improve to a low single-digit decline for the year. For the total company, we generated $94.3 million in revenue for the quarter compared to $102.5 million in the prior year period, which is an overall revenue decrease of 8%.

In terms of our revenue breakdown for the quarter, research revenue was $72.7 million, down from $77.1 million in 2024. This was a decrease of 6% compared to 2024, with revenue from our subscription research products down 5%. Excluding the impact of 4% year over year. Client retention of 74% was flat from the prior quarter, however, wallet retention was up one point to 86%. As discussed in recent quarters, wallet retention is being affected by enrichment challenges. This trend directly reflects the uncertain budgetary and macroeconomic environment we're experiencing. Our consulting business posted revenues of $21.5 million, which was down 8% compared to the prior year.

We are continuing to see uneven performance of the business by each product line. This year, strategy consulting has been negatively impacted by its degrading government business, but advisory grew double digits this quarter. We are expecting this mixed performance to continue for the remainder of the year and into next year. And finally, regarding our events business, we shifted one of our three major North American events, Technology Innovation, into Q4, which resulted in insignificant events revenue this quarter. As noted last quarter, the outlook for the events business remains challenged, specifically the outlook for sponsorship revenues. The events team continues its work in addressing these issues.

Continuing down our P&L on an adjusted basis, operating expenses for the third quarter decreased by 11%, primarily driven by lower compensation and related costs. Specifically on headcount, the third quarter grew down 8% compared to the same period in 2024. We continue to monitor costs very closely, with particular attention focused on headcount, hiring, and attrition. Operating income increased by 21% to $9.9 million or 10.5% of revenue in the current quarter compared to $8.2 million or 8% of revenue in 2024. Higher operating income and margin were in part driven by the shift in event timing and also by very careful cost management in the quarter.

Interest expense for the quarter was $700,000, down slightly from the $800,000 in 2024. Finally, net income and earnings per share increased 30% and 28%, respectively, compared to Q3 of last year, with net income at $7.2 million and earnings per share at $0.37 for the current quarter compared with net income of $5.6 million and earnings per share of $0.29 in 2024.

Looking at our capital structure, year-to-date cash flow from operating activities was $24.3 million, and capital expenditures were $1.9 million. We did not pay down any debt in the quarter. We did repurchase approximately $2.4 million worth of shares in the period. We have over $77 million of our stock repurchase authorization intact. Our balance sheet remains strong, with cash at the end of the quarter of approximately $132 million and debt of only $35 million. As mentioned earlier, we are modestly lowering our guidance range for the year. For 2025, we now expect revenue to be $395 to $405 million, or down 6% to 9% versus 2024.

The reduction of the range by $5 million is driven by ongoing headwinds in the consulting and events businesses. The outlook for the research business remains a mid-single-digit decline for the year. The consulting business is now a high single-digit to low double-digit decline, and the events business is now a decline in the high 20% range. We now expect our operating margins to be in the range of 7.5% to 8.5% for 2025, and interest expense is expected to be $2.7 million for the year, and we are guiding to a full-year tax rate of 29%. Taking all of this into account, we now expect EPS to be in the range of $1.15 to $1.25 for the full year.

This quarter, we took a significant step on our continuing journey with the AI research company. The release of the AI Access product and the first major contract win associated with the new offering has shown we have a differentiated product in the marketplace. As George discussed, we continue to believe Forrester will play a key role in the age of AI. Our research and analysts will offer trusted, proprietary, strategic, and actionable advice. This type of trusted guidance is now ever more important in both an uncertain world and a world impacted by AI. Thank you all for taking the time to join us today. And with that, I will hand the call back to George.

George Colony: Thank you, Chris. To summarize, the company is excited to be introducing the AI Access product, and we are pleased with the early market reaction. It widens the Forrester Decisions portfolio, makes it easier for our clients to get trusted advice fast, and it democratizes access to our research. Thank you for joining the call, and we will now take questions.

Operator: Thank you, sir. As a reminder, to ask a question, you will need to press 11 on your telephone. To withdraw your question, please press 11 again. Please stand by while we compile the Q&A roster. And I show our first question comes from the line of Andrew Nicholas from William Blair. Please go ahead.

Andrew Nicholas: Hi. Afternoon, guys. Thanks for taking my question. This is Tom Rush on for Andrew Nicholas. I really appreciate the call you guys gave on AI and its gonna be up. Good remarks. But I was wondering if you could expand on your thoughts on the perceived disruption from AI, specifically as it relates to just the research part of the business, like, without the guide access, like, those type of licenses. And also, I'm just curious, like, what is the typical customer demographic that chooses to go with just the research access and not the guide level or, what's the reasoning usually behind it when that's kind of, like, the sale that you do?

George Colony: It's probably a little bit too early, Tom, to make that call. I mean, AI Access has only been available for a couple of weeks. So I would expect the demographic would be lower, to be a younger demographic for AI Access, but, you know, it's really too early. If that was your question. What I would say is if you don't have AI, if you don't have AI access to your product, you're gonna have a hard time attracting that younger demographic. So another good reason why we like having the product.

Andrew Nicholas: Gotcha. And then switching gears, was wondering if you could kind of expand on what you're seeing in the sales pipeline heading into the fourth quarter. And then also, I believe last quarter, you had mentioned kind of underperforming on conversion rates. So it sounds like you guys have been making strides in your go-to-market strategy. So I was wondering if you've seen any improvement on conversion as well.

Nate Swan: Yeah. Great question, Tom. So we are seeing some improvement, specifically, our emerging tech team, we just did a global call with our sales organization today where we called out their conversion rates dropping by 27% year over year. Sorry. Their time to conversion. That was a mistake on their time to conversion dropping 27%. So they are seeing really good conversion. And what they're doing is what we call a social contract. Where they are confirming with the buyer early on in the sales cycle, that they would like to be evaluating Forrester. It's an opportunity to hold the client accountable, hold ourselves accountable to the steps to walk through a sales process.

And seen a really, really good process progress with that. Time to close one for that team in particular dropped from roughly eighty days down to about fifty-nine days. So significant decrease. And the rest of our teams are also in that rough eighty days. Now they are working with some larger clients typically. In some other teams. So don't expect to have those type of dramatic results, but we do expect to see some pipeline acceleration as our teams are really coaching in this type of methodology to drive faster conversion. As far as size of pipeline, we are roughly the same size year over year. So plus about a couple of percent on there.

But we're seeing a better conversion, so we're very hopeful that in Q4, we will see continued improvement in conversion, one, speed, two, and I think to echo both George and Chris's comments on AI Access. AI Access is opening doors for us. So we're seeing more clients respond. They want alternatives. Out there. They want to be able to spread research out to larger parts of the organization. Not every person in an organization needs to have the guidance that we give. But if they have guidance at the top of the organization and the access to the same research throughout, that really creates alignment for our clients. And it's been really well received.

So not just on our large government deal, we're seeing it around the world. The international team has done a fantastic job securing win backs from clients that like this model. And so we think there's a lot of momentum from that. We're very hopeful that Q4 will drive some more business.

Andrew Nicholas: Thank you. If I could just slip in one quick follow-up. Just like, the large language models, have they come up at all in customer conversations you guys have had, or have you gotten pushback from clients that have tried to use one of public or especially public one or a different type of large language model?

Nate Swan: Yeah. Absolutely. I think a lot of customers bring it up and say, I, you know, I can use things like ChatGPT or Clawd, etcetera, and I get really good answers. And while I'd say they get really good answers, do you really trust where they're coming from? I am certainly not an analyst. I'd let George and Carrie probably answer more on that. But you know, a lot of that information is not coming from reliable sources that have models, data, and research that Forrester has. In fact, none of them have what Forrester has. So just to be clear about that, they're not backed by those things.

And so if you're going to make million-dollar, multi-million, or $100 million decisions, you know, going out there and trusting ChatGPT, or other sources, while that is good information to get, I really don't think that's a reliable way to make a decision for your business model. And so you're gonna need a trusted source like Forrester to be able to do that.

Carrie Johnson: If I could, this is Carrie. If I could add one thing on to Nate's comments. For every pushback or client or prospect conversation that we have, asking to compare us to the public models, we have more than that asking to actually put our data and insights into their employee environment so they're getting trusted insights to empower their employees. That's actually where most of our conversations are happening, where they're seeing this opportunity. To say, hey. We've been tasked with providing a world-class, you know, set of insights to our employees to make decisions, to go win deals, how can we make sure that Forrester data and insights are in our protected environments?

Because we don't want our employees relying on the public models to make business decisions. So more opportunity than threat on this front because we think that companies understand the impact and the importance of trusted data sources.

Nate Swan: Just to add on to Carrie, and she brings up an excellent point. I've been involved in several conversations. I know Carrie has. I know George has with clients that are looking to do exactly that, and they're very excited when they see what the previous IZOLA feature and now AI Access does and allows them to do. You know, the reaction has been incredible. I mean, I've sat in a meeting with a chief digital officer from a large brand agency and they were they wanted to go to commercials almost immediately. As they saw this. So we are seeing some very good response from clients. So we're excited about that.

George Colony: I mean, this could be a lot of AI use. Just as there's a lot the moment reminds me a little bit of 2002. When people would say, well, we don't need Forrester anymore. We're gonna use Google. And my comeback with that was always great. Glad that's your plan. You're gonna make a $100 million technology decision. Tell me how that board meeting is gonna go. When you tell them the research I did to make this decision was made on Google. So obviously, Internet search helps a lot. AI search will help a lot.

But at the end of the day, when you these are critical decisions which will require critical data and trusted data and that's where Forrester as I described, that is will be our place in this future.

Andrew Nicholas: Appreciate the color. Thank you, guys.

George Colony: Good question. Thank you.

Operator: Thank you. I show our next question comes from the line of Michael Matheson from Sidoti and Company. Please go ahead.

Michael Matheson: Thank you for taking my questions, gentlemen. My first question is whether there are any particular verticals or industries where you're seeing better success at gaining new clients or deepening client relationships?

Nate Swan: Well, yeah. Absolutely. So number one, while it's been a challenging opportunity in the government, we actually think there's a massive opportunity in the US federal government. So retention challenges this year as agencies were having DoD come in and cut budgets. But the response to how Forrester is, making our offerings available to people, and the support that we've gotten from Forrester to go out in front of the government, talk about what we're doing with AI Access. We've had a number of agencies very interested in what we're doing. So we've seen really good success there in the US.

Again, coming back to the international markets, we're seeing really good success in the international markets on the end-user side. So growing that end-user business, which is really our goal is to grow the end-user business even stronger. We're seeing great success in the international markets capturing clients in the CPG industry, manufacturing, financial services. So lots of success there. And we're starting to see some breakthroughs as well as some manufacturing opportunities in North America as well. Our end-user new business team really struggled for about six months. I'm starting to see some rays of sunshine from them as they go into the fourth quarter.

We're seeing some net new logo opportunities in financial services as well as manufacturing and CPG.

Michael Matheson: Okay. Great. Thank you. Second question, your effort to increase the contract value per client is a major strategic goal. You were still down here a couple percent this quarter. Can you comment on when you feel like that effort would bear a little bit more fruit?

Chris Finn: Yeah. Thanks for the question. This is Chris. Yeah. Look, I think as we move forward here, you know, we're seeing some traction, obviously, with the new product in AI Access. And, you know, a stabilization of retention rates. And so I think as we move forward, our expectation is, you know, we've a big quarter in front of us in Q4, but as we get into next year, we should start to see some improvement there. In the first half, especially as the new product, you know, gains traction. And we continue to see stabilization on retention. The average CV per client has I mean, just looking at up 5% in the year. Did you get that, Michael?

So average CV per client up 5% in the year?

Michael Matheson: I'm sorry. I didn't have it in front of me, but I'll take your correction. Thank you.

George Colony: Yeah. What so we're up to one hundred and sixty-two thousand per client.

Michael Matheson: Thank you. Okay. Good. Well, thank you for the information. Thank you for taking my questions, and good luck in the coming quarter.

George Colony: Thanks, Michael. Appreciate it.

Chris Finn: Thank you.

Operator: And I show our next question comes from the line of Vincent Colicchio from Barrington Research. Please go ahead.

Vincent Colicchio: Yeah. Nate, on the better conversion, this quarter, you attribute that to something in particular? Or is that too difficult to do?

Nate Swan: No. As I was mentioning, this emerging tech team has been working what we call our social contract for the better part of nine months. And they're really starting to see some success. And I think the team is gaining confidence in it, Vince. When you first started, it might feel a little bit awkward to you as you go through a sales process. But now that team is really clicking and they're doing it every single time. Anytime they get engaged with a new prospect, they are saying, hey. It seems like there's genuine interest. I think we can help you. This is what this process looks like over the next six to eight weeks.

Is this something you're interested in doing? This will be something that would cost money? Clearly, to invest in Forrester. Typically, the budgets would be, you know, between x and y for something like this, although we don't want to predetermine what it would be. And is this something that you're interested and can provide access to your team who has the initiatives to execute that are part of your priorities for the business. If you are interested in doing that, we are interested in working with you to see if that works. You can disengage at any time. That is not a commitment to buy. And I think they've gotten really good at that talk track.

And, you know, we had a, as I said, a global call earlier today. I'm really encouraging the rest of the team to you need to do this. This is working. They are having success. They are seeing their, you know, not just their closed won get better, but their closed lost, you know, not you know, even when a client agrees to go through a social contract, you still don't have, you know, a 100% conversion of your stage one opportunities. You know, you're just entering the pipeline. It's just a commitment to look and view and it allows the sales rep to hold the client accountable and the client to hold the sales rep accountable.

And hold Forrester accountable. So we've seen really good luck in it. And I think that we'll start seeing more of that when you marry that with our Forrester Agile selling technique. I think it's, you know, calling high. Making sure that we understand the value sweet spot that we are looking for from our clients. Making sure that there's alignment. And that, you know, at the end of the day, they don't want to waste their time. We don't want to waste their time. And, you know, we believe that we can really drive a better conversion.

So dropping our, you know, dropping our closed lost from in that group from a hundred and thirty days to about a hundred five days, is significant. You're not wasting time on opportunities that are never gonna close.

Vincent Colicchio: And then, George, one for you. Any what are your thoughts on the Carahsoft partnership? When do you expect it to start contributing? And, you know, what makes you optimistic?

Nate Swan: Yeah. George, sorry. Vincent, I'll jump in for George because that is part of a sales play. One of my sales leaders for the government team, Dana Barnes, has done a really nice job. So he has worked with Carahsoft in the past with the government teams. What that allows us to do is in previous software companies that he was with, and what that allows us to do is open up markets. They help with marketing and opening doors and contract vehicles that might not be able to get on. So we've just gotten started with them. We're starting to see a lot of traction in the government space.

And so while it's been really tough sledding in the government market, we had a big win. Number one, we've been in front of over 200 buyers at one of the I can't think it's called through Carahsoft? Not through not through Carahsoft, but through at an event called Fed Talk that we were at when our CTO was there. And Carahsoft is getting us into states that we haven't been doing business in and agencies that we haven't been doing business in. So we haven't seen a return yet. But I expect that we will relatively soon. That was signed in the '3.

Vincent Colicchio: Are there other partnerships like this that may be to other parts of your business?

Nate Swan: It's a great question. We, you know, we I think we want to see what success looks like. You know, we have our where Forrester has a direct presence, we have our IBD model. And we have, you know, gone through partners there and that business has been really successful. That's been, you know, in markets that Forrester is not in Latin America and other countries, Middle East, etcetera. So pretty successful on that side. I'm sure that we could explore other partnerships to start. We thought Carahsoft was a good place for us to go. And they've been really responsive to us.

Vincent Colicchio: Thanks, guys.

George Colony: Thank you, Vince. Appreciate it. Thanks, Vince.

Operator: Thank you. That concludes our Q&A session. At this time, I would like to turn the conference back to Chris Finn, Chief Financial Officer, for closing remarks.

Chris Finn: Thanks, everyone, for joining today. As always, if you have any questions or follow-up, please reach out to Ed or myself. Thank you. Thank you very much.

Operator: Thank you. This concludes today's conference call. Thank you for participating. You may now disconnect.