Questex Launches AI-Powered Q Connect Matchmaking Platform Across Its Entire Event Portfolio

Questex, the business information and events company that operates some of the most influential trade shows in the Healthcare, Hospitality, and Wellness industries, has announced the full-portfolio deployment of Q Connect—a proprietary AI-powered matchmaking platform designed to replace the randomness of trade show networking with precisely curated one-to-one business meetings. The platform, which Questex began testing at select events in late 2025, is now live across the company's entire event portfolio and represents one of the most ambitious attempts by a major event organizer to embed artificial intelligence into the core attendee experience.

Q Connect is not Questex's first foray into event technology, but it is by far its most significant. Previous iterations of event matchmaking at Questex shows relied on basic profile matching—job title, company size, product interests—to suggest potential connections between attendees and exhibitors. The results were useful but imprecise, often generating meeting suggestions that looked good on paper but failed to account for the nuances of commercial intent, buying timeline, budget authority, and the specific business problems that brought a buyer to the show floor in the first place.

Q Connect addresses those limitations with a machine learning engine that processes a substantially richer set of signals to determine match quality. The system considers not just who an attendee is but what they are trying to accomplish at the event, how urgently they need a solution, and how closely an exhibitor's offering aligns with those specific needs. The result, according to Questex, is a matchmaking system that delivers meetings where both parties arrive with a shared understanding of why they are sitting across from each other—a seemingly simple but surprisingly rare achievement in the trade show industry.

How Q Connect Works: The AI Behind the Meetings

Understanding Q Connect requires understanding the problem it is designed to solve. At a typical B2B trade show, the process of connecting buyers and sellers is startlingly inefficient. An attendee walks the show floor, stops at booths that catch their eye, has conversations of varying depth and relevance, and leaves with a stack of business cards that may or may not include the one person who could actually solve their business problem. An exhibitor, meanwhile, staffs a booth for three days, engages with hundreds of visitors, qualifies a fraction of them as genuine prospects, and spends weeks after the show sorting through leads to find the ones worth pursuing. The entire system relies on chance encounters, self-directed navigation, and the hope that the right buyer will happen to walk past the right booth at the right time.

Q Connect replaces that system with deliberate, data-driven meeting curation. The process begins weeks before the event, when registered attendees and exhibitors complete detailed intake questionnaires that go well beyond the standard demographic fields. Attendees are asked to identify not just their industry and job function but their top three business challenges, the solutions they are actively evaluating, their decision timeline, their budget range, and the specific outcomes they hope to achieve at the event. Exhibitors, similarly, are asked to define their ideal customer profiles with granular specificity: not just "healthcare executives" but "hospital system CFOs evaluating revenue cycle management solutions with a procurement timeline of Q3 2026 and a budget exceeding $500,000."

The AI engine then processes these profiles against each other, using a proprietary matching algorithm that weights multiple dimensions of compatibility. Role alignment ensures that the attendee's decision-making authority matches the exhibitor's target buyer profile. Priority matching confirms that the attendee's stated business challenges correspond to the exhibitor's solution capabilities. Commercial intent scoring evaluates the urgency and seriousness of the attendee's buying interest, filtering out early-stage researchers from active procurement decision-makers. And behavioral signals—derived from the attendee's interactions with Questex's digital content platforms, webinar attendance, and previous event history—add a layer of predictive intelligence that pure survey data cannot provide.

The Matching Algorithm: Beyond Basic Profile Pairing

What distinguishes Q Connect from earlier generations of event matchmaking technology is the depth and sophistication of its matching algorithm. Traditional matchmaking systems operate on a one-dimensional axis: they compare exhibitor product categories to attendee interest categories and generate a list of suggested meetings. The result is volumetrically impressive but qualitatively shallow. An attendee interested in "healthcare IT" might be matched with every healthcare IT vendor at the show, regardless of whether those vendors offer the specific type of solution the attendee needs.

Q Connect's algorithm operates across multiple dimensions simultaneously. The first dimension is role fit, which evaluates whether the attendee holds the kind of position that can influence or make purchasing decisions relevant to the exhibitor's offering. A clinical informatics director and a hospital facilities manager both work in healthcare, but they have fundamentally different procurement responsibilities. Q Connect distinguishes between these roles and routes them to different exhibitors accordingly.

The second dimension is problem-solution alignment, which maps the attendee's stated business challenges to the exhibitor's specific capabilities. This is where the granularity of the intake questionnaire pays dividends. Rather than matching at the category level ("workforce management"), Q Connect matches at the problem level ("reducing agency nurse spend by optimizing internal float pool scheduling")—a level of specificity that ensures both parties arrive at the meeting with a shared understanding of the business context.

The third dimension is commercial readiness, which assesses where the attendee sits in their buying journey. An attendee who is actively evaluating vendors and expects to make a decision within 90 days receives a higher priority score than one who is in an early research phase with no defined timeline. This scoring ensures that exhibitors' most valuable meeting slots are allocated to the prospects most likely to convert into near-term revenue.

The fourth dimension is behavioral intelligence, drawn from the attendee's digital footprint across Questex's content ecosystem. If an attendee has been reading articles about nurse staffing shortages, attending webinars on workforce optimization, and downloading whitepapers from specific vendors, those signals inform the matching algorithm even if the attendee did not explicitly mention those topics in their intake questionnaire. This behavioral layer acts as a reality check on self-reported data, capturing interests and intent that attendees may not articulate directly.

Deployment Across Healthcare, Hospitality, and Wellness

Questex has chosen to deploy Q Connect across its entire event portfolio simultaneously rather than rolling it out incrementally by vertical. This decision reflects the company's confidence in the platform's readiness and its strategic calculation that a full-portfolio launch creates more value for exhibitors who participate in multiple Questex events across different verticals. An exhibitor that sells technology solutions to both healthcare and hospitality organizations, for example, now benefits from a consistent matchmaking experience across all of their Questex shows rather than encountering the platform at some events and not others.

Healthcare Portfolio

Questex's healthcare events represent the portfolio where Q Connect's impact is expected to be most immediately felt. Healthcare trade shows have historically struggled with a matchmaking challenge that is unique to the industry: the buyers are clinicians and health system executives whose time is extraordinarily constrained and whose willingness to sit through sales meetings is correspondingly low. A hospital CMO who takes three days away from patient care responsibilities to attend a trade show expects every meeting to be worth the opportunity cost. Q Connect's ability to filter for commercial readiness and problem-solution alignment directly addresses that expectation.

The platform is now live across Questex's healthcare events including HIMSS-adjacent programming, behavioral health conferences, and health system innovation forums. Early data from pilot deployments at healthcare events in late 2025 showed a meeting acceptance rate of 74%, significantly higher than the 45-50% acceptance rate that is typical for healthcare event matchmaking. More importantly, post-meeting surveys indicated that 81% of attendees rated their Q Connect meetings as "highly relevant" to their stated business needs—compared to 43% for meetings arranged through traditional matchmaking at the same events.

Hospitality Portfolio

Questex's hospitality events, anchored by the International Hotel, Motel + Restaurant Show (IHMRS) and its portfolio of food and beverage trade shows, present a different matchmaking challenge. The hospitality industry's buyer universe is extraordinarily fragmented, spanning independent restaurant owners, multi-unit franchise operators, global hotel chains, cruise lines, catering companies, and institutional food service providers. Each of these buyer segments has distinct procurement needs, budget structures, and decision-making processes.

Q Connect's multi-dimensional matching is particularly well-suited to this fragmented landscape. Rather than grouping all "hospitality buyers" into a single category, the platform distinguishes between a boutique hotel owner evaluating property management systems, a chain restaurant VP sourcing sustainable packaging, and a hospital food service director looking for automated tray line equipment. These are fundamentally different buyers with fundamentally different needs, and Q Connect routes them to different exhibitors accordingly.

Wellness Portfolio

The wellness vertical, which includes Questex's spa, fitness, and integrative health events, is the smallest of the three major portfolios but may be the one where Q Connect has the most transformative impact. Wellness trade shows have traditionally relied heavily on serendipitous networking—the theory being that wellness industry professionals value relationship-building and organic discovery over structured business meetings. Q Connect does not eliminate that organic element but supplements it with a scheduled meeting layer that ensures exhibitors have guaranteed face time with qualified prospects, regardless of whether those prospects happen to wander past their booth.

How Q Connect Compares to Other Event Matchmaking Solutions

Questex is not the first event organizer or technology company to apply AI to the trade show matchmaking problem. Several well-established platforms—Grip, Brella, Swapcard, and others—have been offering AI-powered networking and meeting scheduling for years. Understanding how Q Connect differs from these competitors is essential for exhibitors evaluating which matchmaking platforms will actually improve their trade show ROI.

Grip: The Category Leader Under Pressure

Grip, now owned by RX Global (formerly Reed Exhibitions), has been the most widely deployed AI matchmaking platform in the trade show industry. Its algorithm uses attendee behavior data—session attendance, booth visits, content engagement—to generate networking recommendations in real time. Grip's advantage is its massive deployment footprint: it operates across hundreds of events worldwide, giving its algorithm a deep training dataset. Its limitation, however, is that it is fundamentally a recommendation engine rather than a meeting scheduling system. Grip suggests connections and leaves it to the attendees to initiate contact and arrange meetings. The conversion rate from recommendation to actual meeting is typically 15-25%, meaning that 75-85% of Grip's suggestions never result in a face-to-face interaction.

Q Connect's approach is structurally different. Rather than recommending connections and hoping that attendees follow through, Q Connect schedules specific meetings at specific times in specific locations. Both parties receive calendar invitations, meeting briefs that explain why they have been matched, and pre-meeting preparation materials that frame the conversation around the buyer's stated business challenges. This structured approach has produced a 74% meeting acceptance rate in pilot deployments—roughly three times Grip's typical recommendation-to-meeting conversion rate.

Brella: Strong on Intent, Limited on Scale

Brella has distinguished itself in the event matchmaking market with a strong focus on buyer intent signals. The platform asks attendees to specify what they are looking for before the event and uses that data to generate match recommendations. Brella's intent-based approach is conceptually similar to Q Connect's commercial readiness scoring, but Brella operates as a third-party platform that event organizers license rather than as a proprietary system integrated into the organizer's own data ecosystem. This means Brella's matching algorithm operates on the data that attendees provide within the Brella interface but does not have access to the broader behavioral signals that an organizer like Questex can provide from its owned content platforms, email engagement data, and historical event attendance records.

Swapcard: Event App First, Matchmaking Second

Swapcard operates as a comprehensive event app that includes matchmaking as one feature among many—including scheduling, content delivery, exhibitor listings, and sponsor activations. Swapcard's AI matchmaking is competent but not its primary focus, and exhibitors who have used the platform across multiple events report that match quality varies significantly depending on how thoroughly the event organizer has configured the system and how completely attendees have filled out their profiles. Swapcard's advantage is versatility; its limitation is that matchmaking quality often takes a back seat to the platform's broader event management functionality.

What Q Connect Means for Exhibitors and Lead Generation Strategy

For exhibitors, the deployment of Q Connect across Questex's event portfolio introduces both opportunities and strategic considerations that should inform how they approach these shows in 2026 and beyond. The platform fundamentally changes the exhibitor-attendee interaction model, shifting from a passive, booth-centric approach to an active, meeting-centric one. That shift has implications for booth design, staffing, pre-show preparation, and post-show follow-up.

The End of the Hope-They-Walk-By Strategy

At a traditional trade show, exhibitors invest heavily in booth location, visual design, and promotional gimmicks with the goal of attracting walk-up traffic. The underlying assumption is that the best way to generate leads is to position yourself in a high-traffic area and hope that the right buyers happen to pass by. Q Connect disrupts this model by providing exhibitors with a scheduled calendar of pre-qualified meetings that do not depend on booth location or foot traffic patterns. An exhibitor in a back corner of the exhibit hall, with Q Connect, can have a more productive show than a competitor in a prime location if their meeting calendar is filled with high-intent buyers.

This does not mean that booth design and location become irrelevant. Walk-up traffic still generates valuable leads, and a well-designed booth creates brand impressions that support the sales cycle even when they do not produce immediate meetings. But it does mean that the balance of an exhibitor's investment should shift. At Questex events with Q Connect, allocating resources toward pre-show profile optimization, meeting preparation materials, and dedicated meeting space within the booth may generate more ROI than spending that same money on flashier booth graphics or better positioning on the show floor.

Pre-Show Preparation Becomes the Main Event

Q Connect's matching algorithm is only as good as the data it receives. Exhibitors who invest time in completing their intake profiles with genuine specificity—defining their ideal customer profile at the use-case level, articulating their value proposition in terms of buyer outcomes rather than product features, and providing case studies that demonstrate relevance to specific attendee segments—will receive significantly better match quality than those who treat the intake questionnaire as an afterthought.

This means that the most important work an exhibitor does for a Questex event now happens weeks before the show opens. The pre-show preparation phase—which at a traditional trade show might involve shipping the booth, booking hotel rooms, and sending a few marketing emails—now includes a substantive strategic exercise: defining who you want to meet, why they should want to meet you, and what specific business outcomes you can deliver. Exhibitors who approach this preparation with the same rigor they apply to a major sales proposal will outperform those who treat it as administrative paperwork.

Booth Staffing for Meetings, Not Just Traffic

The shift to scheduled meetings changes the optimal staffing model for an exhibitor's booth. At a walk-up-traffic show, booth staffing is about coverage: you need enough people on the floor at all times to engage with whoever happens to stop. At a meeting-centric show, staffing is about expertise: you need the specific person who can speak authoritatively to the specific buyer's specific business challenges sitting in the meeting space at the scheduled time.

This often means deploying product specialists, solution architects, and senior sales executives for specific meeting blocks rather than staffing the booth exclusively with marketing coordinators and junior sales development representatives. Q Connect provides exhibitors with meeting briefs that include the attendee's role, stated business challenges, and buying timeline—information that allows booth managers to assign the right team member to each meeting based on the substance of the expected conversation.

The ROI Impact of AI-Powered Meeting Scheduling at Trade Shows

The financial case for AI-powered matchmaking at trade shows is compelling, but it requires exhibitors to think about ROI in terms that go beyond the traditional metrics of badge scans and leads collected. Q Connect's value proposition is not that it generates more leads. It is that it generates better leads—leads that are pre-qualified, contextually prepared, and commercially ready. The difference between quantity and quality is where the real ROI lives.

Quantifying the Quality Premium

Questex's pilot data provides the most concrete evidence to date of the ROI premium that AI-curated meetings generate compared to traditional trade show lead generation. Across five pilot events in late 2025, exhibitors who used Q Connect reported the following outcomes compared to their results at equivalent events without the platform:

• 3.2x higher lead-to-opportunity conversion rate. Leads generated through Q Connect meetings converted to formal sales opportunities at 3.2 times the rate of leads generated through walk-up booth interactions at the same events.
• 41% shorter sales cycle. Opportunities that originated from Q Connect meetings reached the proposal or contract stage an average of 41% faster than those from traditional trade show leads—likely because both parties entered the conversation with a shared understanding of the buyer's needs and timeline.
• 28% higher average deal value. The average deal size associated with Q Connect-originated leads was 28% larger than the average for traditional trade show leads, suggesting that the platform's commercial readiness scoring successfully routes higher-value prospects to exhibitors.
• 67% reduction in "wasted" meeting time. Exhibitors reported that 67% fewer Q Connect meetings were rated as "not relevant" compared to meetings arranged through traditional matchmaking platforms or walk-up interactions.

The Cost-Per-Qualified-Lead Equation

For exhibitors who track cost-per-qualified-lead as a key performance indicator, Q Connect has the potential to dramatically improve the economics of trade show participation. Consider a typical mid-market exhibitor at a Questex healthcare event: a 20x20 booth, a team of five, three days of hotel and travel, plus drayage and labor. The all-in cost might be $85,000. At a traditional show, that exhibitor might generate 200 badge scans, of which 40 (20%) qualify as genuine prospects, yielding a cost-per-qualified-lead of $2,125.

With Q Connect, that same exhibitor might conduct 25-30 scheduled meetings over three days, of which 20 (70-80%) qualify as genuine prospects based on the platform's pre-screening. Combined with walk-up traffic that still generates another 15-20 qualified leads, the total qualified lead count reaches 35-40—roughly the same as the traditional scenario—but with a fundamentally different quality profile. If Q Connect leads convert at 3.2x the rate and generate 28% larger deal values, the revenue per dollar of trade show investment increases by a factor of 3-4x even with a similar number of total qualified leads.

What Q Connect Signals About the Future of Trade Show Matchmaking

Questex's full-portfolio deployment of Q Connect is significant not just for the company's own events but for what it signals about the direction of the trade show industry as a whole. The concept of AI-powered matchmaking is not new, but Q Connect represents a meaningful step forward in how the technology is integrated into the event experience—and it raises important questions about the future relationship between event organizers, exhibitors, and the data that powers intelligent matchmaking.

The Organizer-as-Platform Play

By building Q Connect as a proprietary platform rather than licensing a third-party solution, Questex is making a strategic bet that the future of event value creation lies in owning the data infrastructure that connects buyers and sellers. This is the same logic that has driven media companies to build first-party data platforms, e-commerce companies to build their own logistics networks, and financial services companies to build proprietary trading systems. When the core value of your business depends on the quality of connections you facilitate, owning the technology that powers those connections is a competitive necessity, not a luxury.

If Q Connect succeeds, other major event organizers will almost certainly follow suit. RX Global already has Grip. Informa has invested in Swoogo and other event technology platforms. Clarion Events, Emerald, and Freeman are all building or acquiring matchmaking capabilities. The trade show industry is moving toward a model where matchmaking is not an add-on service but a core component of the event proposition—as fundamental to the attendee experience as the exhibit hall itself.

The Data Moat Deepens

Q Connect's behavioral intelligence layer—the ability to incorporate signals from Questex's content platforms, email engagement, and historical event data—creates a data advantage that is difficult for third-party matchmaking providers to replicate. A company like Grip or Brella can build a sophisticated matching algorithm, but it can only operate on the data that attendees and exhibitors provide within its interface. An organizer like Questex can feed its matching algorithm with years of behavioral data across its entire content and events ecosystem, producing match quality that improves with every interaction and creates a compounding advantage over time.

For exhibitors, this deepening data moat means that the events where they participate become increasingly intelligent over time. The first Q Connect meeting at a Questex event will be good. The third or fourth, informed by the outcomes of previous matches and the evolving behavioral profile of both the exhibitor and their target buyers, will be meaningfully better. This creates a loyalty dynamic that benefits both Questex and its exhibitors: the more an exhibitor participates in Q Connect events, the better the platform understands their ideal customer and the more valuable the matches become.

Privacy and Trust: The Unresolved Questions

The depth of data that powers Q Connect also raises questions about privacy and trust that the trade show industry has not yet fully addressed. When an attendee registers for a Questex event, they may not realize that their article reading habits, webinar attendance, and email engagement are being used to inform a matchmaking algorithm that will determine which exhibitors they meet. Questex's privacy policy covers this data use, but the practical question is whether attendees understand and accept the trade-off between data sharing and meeting quality.

The early evidence suggests that attendees are willing to share data when they perceive clear value in return. The 74% meeting acceptance rate and 81% "highly relevant" satisfaction score from pilot events indicate that attendees who engage with Q Connect are getting meetings they want—which means the data-for-quality exchange is working in their favor. But as AI matchmaking becomes more pervasive and the data inputs become more extensive, the industry will need to develop clearer norms around transparency, consent, and the attendee's ability to control how their behavioral data is used.

The Bottom Line: Q Connect Changes the Exhibitor Playbook

Questex's deployment of Q Connect across its full event portfolio is one of the most consequential developments in trade show technology in recent years. It does not eliminate the traditional trade show experience—the exhibit halls, the keynote speakers, the cocktail receptions, and the hallway conversations that have defined the industry for decades. But it adds a structured, data-driven layer to that experience that has the potential to make every exhibitor's investment significantly more productive.

For exhibitors at Questex events, the implications are immediate and actionable. The pre-show preparation phase is now the single most important determinant of event ROI. The intake questionnaire is not administrative paperwork—it is a strategic document that determines the quality of your meeting calendar. Booth staffing needs to be planned around scheduled meetings, not just walk-up traffic. And post-show follow-up needs to distinguish between Q Connect leads and traditional leads, with the former receiving faster, more personalized outreach that capitalizes on the context established during the meeting.

For the broader trade show industry, Q Connect represents a preview of a future where AI matchmaking is as fundamental to the event experience as the exhibit hall itself. The organizers that invest in proprietary matchmaking platforms, built on deep first-party data and designed around exhibitor outcomes, will be the ones that command premium pricing and exhibitor loyalty in the years ahead. The ones that continue to treat networking as an unstructured, serendipity-dependent experience will find it increasingly difficult to justify their exhibitor pricing in a market where competitors are offering measurably better lead quality.

The trade show industry has been talking about the promise of AI matchmaking for years. With Q Connect, Questex has delivered on that promise at scale. The question for every other event organizer is whether they can match it—and the question for every exhibitor is whether they are prepared to take advantage of it.