Written by: Bryan Grobstein, Vice President, Global Revenue, AnyRoad | Last updated: July 12, 2026
Key Takeaways
- Granular event analytics platforms capture attendee-level behavioral data, including session participation, sentiment shifts, and post-event purchases. This level of detail enables precise ROI measurement that registration tools like Splash cannot provide.
- Splash and similar platforms focus on RSVPs and check-ins but leave critical gaps in first-party data capture, session tracking, and revenue attribution for CPG and alcohol brands.
- Disconnected systems and limited attendee-level data create blind spots. Unified experiential platforms solve this by maintaining continuous attendee profiles across the full journey.
- Key differentiators include white-label booking, FullView group data capture, AI feedback analysis, native CRM integrations, and purchase conversion tools that link experiences to retail sales.
- Brands using AnyRoad have achieved measurable gains such as 36% higher revenue per visit and 69% more guest data captured. Schedule a demo to see how AnyRoad can transform your experiential marketing results.
Where Splash Falls Short on Granularity and First-Party Data
Splash is built primarily around event registration and invitation management. It handles RSVPs, check-ins, and basic attendance reporting efficiently. It does not capture what happens after a guest walks through the door. That includes which sessions they attended, how their sentiment shifted from pre-visit to post-visit, whether they purchased a product within 30 days, or how their profile compares to the 200 other attendees in the same group.
For a Field Marketing Director at a spirits brand or CPG company, that gap is operationally costly. Siloed data ranks as a top barrier to effective measurement, often above budget constraints and tool complexity. When event data lives in Splash and purchase data lives in a CRM that never receives a handoff, the experiential program becomes invisible to revenue reporting.
See how AnyRoad captures the data Splash leaves behind by scheduling a demo.
Why Disconnected Systems Keep the Problem in Place
This data fragmentation is not just a technical inconvenience. It is a structural problem rooted in how most event teams assemble their technology stacks. Most teams use a registration platform, a survey tool, a CRM, and a reporting dashboard that were never designed to share data at the attendee level. When data is fragmented, decisions are made with blind spots. Clicks and form fills are visible, but the full context of the customer journey, especially the conversations that drive outcomes, is missing.
Few organizations currently import CRM and offline data, including event data, into their analytics platforms. Many are building composable analytics stacks with multiple tools and a unified data layer. The ambition to unify data exists. Execution at the event level lags because the event platform itself is not designed to feed that layer.
For alcohol and CPG brands, compliance requirements compound the problem. Age verification, marketing opt-in consent, and data residency rules cannot be retrofitted onto a general-purpose registration tool. These controls must be embedded in the booking and data-capture workflow from the start.
Two Event Tech Paths: Ticketing Tools vs Experiential Platforms
Event technology in 2026 falls into two broad categories. The first category includes registration and ticketing tools such as Splash and Eventbrite that focus on getting people to an event. These tools measure success at the point of check-in. The second category includes unified experiential platforms that treat the event as the beginning of a data relationship, not the end of a transaction.
Granular event analytics platforms require a unified attendee data layer that maintains a continuous view of each attendee across registration, session participation, networking, and content interaction, enabling real-time personalization rather than static experiences. That continuous view separates a platform capable of revenue attribution from one that produces only an attendance report.
The global events industry market reached approximately USD 1.4 trillion in 2025, with growth driven by a data-centric approach that uses analytics to gain insights into attendee behavior, engagement levels, and content preferences. Brands investing in experiential programs at this scale cannot afford platforms that stop measuring at the door.
AnyRoad is purpose-built as a unified experiential platform. Its white-labeled booking experience embeds directly into a brand's website, capturing first-party data before, during, and after the experience. The FullView feature captures data from every attendee in a group, not just the booker. PinPoint AI analyzes open-text survey responses at scale to surface themes and sentiment drivers. Purchase Conversion Tools connect the offline experience to retail sales through cashback rebates, sweepstakes, and punch cards delivered by SMS. Native integrations with Salesforce, HubSpot, Klaviyo, and SAP close the loop to CRM and marketing automation.
How AnyRoad Compares to Other Event Platforms
The table below compares AnyRoad against five platforms on six capabilities central to granular event analytics. Every data point reflects publicly documented platform capabilities as of mid-2026.
| Capability | AnyRoad | Cvent | Bizzabo | RainFocus | Accelevents | Splash |
|---|---|---|---|---|---|---|
| Attendee Intelligence | Full attendee-level profiles including demographics, feedback, purchase intent, and group-level data via FullView. Proximo Spirits captured 69% more guest data after implementation. | Attendee profiles tied to registration and session check-in, strong for large enterprise conferences. | Attendee hub with session-level engagement data, designed for B2B conference formats. | Session-level attendance and engagement data for large-scale enterprise events. | Basic attendee profiles with check-in and session attendance data. | Registration and check-in data, with no native attendee behavioral profiling beyond RSVP status. |
| AI Feedback Analysis | PinPoint AI analyzes open-text survey responses to surface themes, sentiment drivers, and actionable insights. Diageo used AI-driven personalization to achieve a 16-point NPS increase. | Survey tools available, with no documented AI-driven open-text feedback analysis for experiential programs. | AI-assisted session recommendations, with limited open-text sentiment analysis for brand experiences. | Analytics dashboards for session engagement, with no documented AI feedback analysis for CPG or alcohol use cases. | Post-event surveys available, with no AI-driven qualitative feedback analysis. | Basic post-event surveys, with no AI feedback analysis capability. |
| White-Label Booking | Fully white-labeled booking embedded directly on the brand's website. Guests never redirect to a third-party domain, so the brand owns the entire consumer journey. | Configurable event registration pages, with some white-labeling available at enterprise tier. | Branded event websites and registration, with some customization available. | Branded registration workflows for enterprise events. | Customizable event pages with partial white-labeling. | Branded event pages where guests remain within a Splash-hosted environment. |
| FullView Data Capture | Captures data from every individual attendee in a group booking, not only the primary registrant. Proximo Spirits collected 34% more NPS responses after FullView implementation. | Group registration available, with individual attendee data capture dependent on configuration. | Individual attendee profiles within group registrations for conference formats. | Session-level individual tracking for large events. | Individual attendee check-in, with group-level data capture not a documented core feature. | Primary registrant data captured, with no documented equivalent to group-level individual data capture. |
| CRM Integrations | Native integrations with Salesforce, HubSpot, Klaviyo, SAP, and NetSuite. Also supports Zapier, Workato, webhooks, and API for custom connections. | Salesforce and Microsoft Dynamics integrations with strong enterprise CRM connectivity. | Salesforce, HubSpot, and Marketo integrations designed for B2B pipeline reporting. | Salesforce and Eloqua integrations with an enterprise focus. | HubSpot and Salesforce integrations with a mid-market focus. | HubSpot and Salesforce integrations primarily for marketing automation of event invitations. |
| Purchase Conversion Tools | Cashback rebates, sweepstakes, and punch cards delivered via SMS post-experience. Absolut achieved the revenue improvement cited earlier using AnyRoad data and purchase conversion tools. | No documented post-experience purchase conversion tools for retail or CPG use cases. | No documented post-experience purchase conversion tools. | No documented post-experience purchase conversion tools. | No documented post-experience purchase conversion tools. | No documented post-experience purchase conversion tools. |
Business Impact of Fixing Event Data Gaps
Replacing registration-only tools with a unified experiential platform improves operations, revenue, and loyalty at the same time.
Absolut's brand home in Åhus, Sweden achieved the revenue improvement cited earlier, with data revealing that smaller guest groups generate higher revenue per guest and higher satisfaction. That insight would not surface without attendee-level behavioral data. Diageo measured a 16-point NPS increase from pre-visit to post-visit at Johnnie Walker Princes Street, and identified that a historically under-targeted demographic was 40% more likely to drink whisky after the experience.
Proximo Spirits immediately began collecting 69% more guest data and 34% more NPS responses after implementing FullView. Sierra Nevada achieved an 85% brand conversion rate post-event, consistently creating new brand champions through feedback-driven experience improvements. Leiper's Fork Distillery reached a 97 post-event NPS and raised tour prices by 33% after using AnyRoad analytics to refine their experience.
On the loyalty side, the 2025 Deloitte Consumer Loyalty Program Survey found that 72% of consumers say loyalty programs make them more likely to spend with their preferred brand, and 56% increase their spending because of loyalty programs. Experiential programs that capture first-party data and follow up with personalized post-event communications function as loyalty programs. That effect only appears when the platform can close the loop between the experience and the purchase.
Implementation Priorities for Regulated CPG and Alcohol Brands
Selecting an event analytics platform for a regulated industry requires evaluation across four dimensions beyond feature checklists.
Integration architecture: Only 31% of marketers are fully satisfied with their ability to unify customer data sources, a gap that directly impacts the 48% who fail to track customer lifetime value at all. Without unified data, calculating lifetime value becomes nearly impossible. A platform that cannot push attendee-level data to the CRM in real time will not solve the attribution problem. It will simply relocate it. Confirm that the platform supports bidirectional data flow, not just export files.
Compliance for alcohol and CPG: Age verification must be embedded in the booking flow, not added as a manual step at the door. Marketing opt-in consent must be captured at the individual attendee level, not assumed from the group booker. AnyRoad's integrated ID scanning and configurable consent capture are designed specifically for these requirements.
Data governance: Confirm that the brand, not the platform, owns all collected first-party data. Some registration platforms co-own attendee data and use it to market other events to your guests. White-labeled, brand-owned data collection is a non-negotiable requirement for building a defensible first-party data asset.
Success metrics: Define measurement criteria before implementation. Relevant KPIs include attendee data capture rate per event, NPS delta from pre-visit to post-visit, marketing opt-in rate, post-event purchase conversion rate, and CRM contact enrichment rate. Event analytics platforms must track specific metrics including registration conversion rate, attendance rate, session engagement, and post-event retention to measure the effectiveness of attendee journey personalization.
Step-by-Step Plan to Move Beyond Registration-Only Tools
Transitioning from a registration-focused tool to a granular event analytics platform works best as a phased process. Most CPG and alcohol brand programs benefit from following all six steps in sequence, even if timelines vary.
- Audit current data gaps. Identify what percentage of event attendees are currently captured in the CRM with complete profiles. For most brands using registration-only tools, this figure sits below 40%.
- Map the post-event journey. Document what happens to an attendee's data after check-in. If nothing happens automatically, the attribution gap is structural rather than a reporting issue.
- Define compliance requirements. List age verification, consent, and data residency requirements specific to your markets and product categories before evaluating platforms.
- Pilot with a single experience. Select one brand home, tour, or activation to run on the new platform. Measure attendee data capture rate, NPS response rate, and post-event purchase conversion against the previous baseline.
- Integrate with CRM before scaling. Confirm that the CRM integration is live and pushing individual attendee records before expanding the program. Attribution reporting built on incomplete data will undercount ROI.
- Use AI feedback analysis to close the loop. After each event cycle, use PinPoint to identify the top three experience drivers of NPS and the top three detractors. Implement changes before the next activation.
Conversate Collective's field marketing events for a CPG beauty brand showed that guests were more likely to purchase after attending, and that consumer profiles were enriched with vital demographic data. These outcomes required attendee-level capture, not aggregate registration counts.
Start your transition to granular event analytics by scheduling a demo to map your implementation.
Frequently Asked Questions
What does "attendee-level behavioral data" mean in the context of event analytics?
Attendee-level behavioral data refers to information collected from each individual participant at an event, not just the person who registered. It includes demographic details, responses to pre- and post-event surveys, session participation, purchase intent signals, NPS scores, and post-event purchase behavior. Platforms like AnyRoad capture this data from every person in a group booking through FullView, so a party of six generates six individual profiles rather than one booking record. This granularity enables segmentation, personalization, and direct revenue attribution that aggregate registration data cannot support.
How do platforms with session-level tracking and CRM attribution differ from standard event tools?
Standard event tools record who registered and whether they checked in. Platforms with session-level tracking and CRM attribution go further. They record which experiences or sessions each attendee participated in, how their sentiment changed from pre-visit to post-visit, and whether they converted to a purchase within a defined window after the event. That data is then pushed to the CRM at the individual contact level, so sales and marketing teams can see the full journey from event participation to pipeline or retail purchase. AnyRoad's integrations with Salesforce, HubSpot, and Klaviyo enable this flow without manual data exports.
How can alcohol and CPG brands measure experiential marketing ROI beyond registrations?
Alcohol and CPG brands measure experiential marketing ROI beyond registrations by combining three capabilities. They need first-party data capture from every attendee, post-event purchase conversion tracking, and CRM integration that connects event participation to sales outcomes. AnyRoad's Purchase Conversion Tools, including cashback rebates, sweepstakes, and punch cards delivered via SMS, create a trackable link between the offline experience and retail purchase behavior. When redemptions are logged and matched to attendee profiles, brands can calculate revenue directly attributable to specific events or activations. Absolut's 36% improvement in average guest revenue per visit and Sierra Nevada's 85% brand conversion rate show this measurement in practice.
What is FullView data capture and why does it matter for CPG brands?
FullView is AnyRoad's feature that collects individual data from every attendee in a group booking, not only the primary registrant. For CPG and alcohol brands running tastings, tours, or brand home experiences, group bookings are the norm, yet most platforms only capture the booker's information. FullView closes that gap by prompting each attendee to provide their details, consent to marketing communications, and complete feedback surveys. Proximo Spirits used FullView to immediately begin collecting 69% more guest data and 34% more NPS responses, transforming a program that was effectively invisible in their CRM into a measurable first-party data asset.
What should brands look for when evaluating Splash alternatives for attendee engagement analytics?
Brands evaluating Splash alternatives for attendee engagement analytics should assess five capabilities. They need individual attendee data capture beyond the primary registrant, AI-driven analysis of qualitative feedback at scale, white-labeled booking that keeps the brand in control of the consumer journey, native CRM integrations that push attendee-level records in real time, and post-event purchase conversion tools that connect the offline experience to retail sales. Platforms designed for general event registration, including Splash, typically address the first part of the event lifecycle but do not provide the post-event attribution layer that CPG and alcohol brands need to justify experiential marketing budgets.
Conclusion
The gap between what Splash and similar registration-focused tools deliver and what CPG and alcohol brands need to prove experiential ROI is structural, not cosmetic. When platforms stop measuring at check-in, every dollar spent on brand homes, tours, tastings, and field activations becomes difficult to defend in a budget review.
AnyRoad is built specifically to close that gap. White-labeled booking captures first-party data before the experience begins. FullView ensures every attendee in a group generates an individual profile. PinPoint AI surfaces the themes and sentiment drivers hidden in thousands of open-text survey responses. Purchase Conversion Tools create a trackable path from the tasting room to the retail shelf. Native integrations with Salesforce, HubSpot, Klaviyo, and SAP push all of this data into the systems where revenue attribution actually happens.
The results are documented: a 36% improvement in average guest revenue per visit for Absolut, a 16-point NPS increase for Diageo, 69% more guest data captured for Proximo Spirits, an 85% brand conversion rate for Sierra Nevada, and a 97 post-event NPS for Leiper's Fork Distillery. These are not outcomes that registration tools produce. They are outcomes that granular, attendee-level, revenue-attributed event analytics make possible.