Openprise at
Mops-Apalooza

High-performance RevOps leaders share stories, learnings, and best practices. No matter your role, gain valuable learnings to help you lead by example at your company.

Open25 + MOpza Schedule

Date	Daytime	Evening
Sunday, Oct 26	• CAB (2–5 PM)	• CAB Dinner
Monday, Oct 27	• Open25 (morning) • Parallel tracks: ◦ AI Workshop ◦ Openprise Partner Summit • MOpza Keynote + Welcome Reception (4–7 PM)	• Customer Dinner with the Openprise Customer Success Team
Tuesday, Oct 28	• Open25 at MOpza – breakout sessions	• Openprise Driver Awards Dinner (6–9 PM)
Wednesday, Oct 29	• Open25 at MOpza – breakout sessions	• MOpza Game Night

KEYNOTE SESSION

Entering the era of data renaissance – Harnessing the power of data fracking to gain competitive edge.

Watch keynote part 1

Watch keynote part 2

Ed King

Openprise

From click to connect: How Palo Alto Networks built a high-speed enrichment engine When it comes to revenue acceleration, speed to lead isn’t optional—it’s everything. But for most teams, manual list loading and fragmented enrichment workflows slow things down before sales ever gets a chance to act.

In this session, learn how Palo Alto Networks tackled the challenge head-on with automated list loading, smarter enrichment workflows, and a sharp focus on ROI.

We’ll cover:

How they automated list ingestion from multiple sources to dramatically cut time-to-lead
Best practices for enrichment vendor evaluation—how to measure and assess ROI, transparency, and scalability
How Palo Alto Networks tracks enrichment ROI, from cost per match to conversion impact
Reporting on ROI metrics that matter—including conversion lift, pipeline velocity, and revenue growth
The role of data lineage—how to map the flow of enrichment data from its source to its final destination and how it impacted revenue

If you’re looking to prove the value of your enrichment strategy and accelerate go-to-market execution, this session will show you how it’s done—fast, clean, and at scale.

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Megan Crone

Palo Alto Networks

Scaling smarter: How Rubrik’s MOps team automated the chaosWhen most of your internal RevOps tickets are just people asking for list uploads, it’s time to rethink your support processes.

In this session, Rubrik’s Marketing Ops team will share how they scaled support across hundreds of sellers and marketers—going from a reactive ticket system to a proactive, AI-assisted operation. You’ll learn:

How Rubrik built an internal chatbot powered by LLMs to field requests, automate ticket creation, and deflect repetitive asks
What it takes to operationalize AI inside a marketing org, from defining use cases to aligning on inputs, outputs, and success metrics
How their ops team built sustainable workflows that keep pace with GTM growth—while improving response time and internal satisfaction

If you’re drowning in Asana tickets, running ops through Slack DMs, or trying to support a massive GTM team with a tiny MOps crew—this is the blueprint you’ve been waiting for.

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Zach Hoogerland

Rubrik

From manual mayhem to intelligent matchmaking: How Teladoc Health automated lead routing across multiple CRMsWhen Joe Giacalone joined Teladoc Health in early 2023, lead routing was a painstakingly manual process: one queue, a couple of spreadsheets, and a rotating cast of people making judgment calls. With multiple business units and separate Salesforce instances already in play, it wasn’t just inefficient—it was unsustainable.

Fast forward to today, and Teladoc Health’s lead-to-account (L2A) matching and routing workflows are 99% automated, intelligently directing leads to the right reps across a complex GTM structure. In this session, Joe will walk through the evolution of that transformation, from building the business case and managing multi-CRM complexity to standing up automated swim lanes for different lead types and business units. You’ll learn:

How Teladoc Health replaced manual lead queues with dynamic routing logic that scales across teams and CRMs
Why splitting high-priority leads from lower-priority ones helped drive better follow-up
The role of Openprise in enabling L2A matching, data flow control, and downstream CRM coordination

Whether you're drowning in routing rules or trying to unify ops across siloed teams, this session will show you what’s possible when you stop triaging and start orchestrating.

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Joe Giacalone

Teladoc Health

Optimizing the full funnel: How Nutanix automated lead flow and territory managementIn today’s economic climate, vendor sprawl and shrinking budgets are forcing revenue teams to rethink their tech stack and processes. Nutanix took on this challenge head-first, tackling data chaos and streamlining operations with Openprise.

Join this session to hear how the MOps and SOps teams at Nutanix built a seamless, scalable, and self-sufficient data engine to eliminate manual work and reduce cross-functional bottlenecks. You’ll learn how they:

Created a “holding tank” for leads and contacts, using enrichment, scoring, and segmentation to prepare records for intelligent lead routing
Automated territory management, so staffing changes trigger real-time updates—no spreadsheets, no ticket queues
Cleaned up their CRM and improving rep-to-record alignment from 75% to over 95%

If you’re struggling with account misalignment, vendor sprawl, or slow-moving territory changes, this session offers a blueprint for transformation—no duct tape required.

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Saumya Shah

Nutanix

Can AI fully replace humans for the GTM team? The hard truth about scaling AIWith the rise of AI-powered tools, the question isn’t if AI can support go-to-market teams; it’s how much of the human element can realistically be replaced. Can AI fully take over SDR outreach? Can it personalize engagement without oversight? Today’s reality suggests otherwise. AI still struggles with hallucinations, fabricating details that could make outbound messaging ineffective or even embarrassing. The “lights-off” dream, where AI operates without human intervention, remains out of reach due to these accuracy gaps and the need for human sanity checks.

In this session, a team of GTM practitioners will dig into the hard truths about scaling AI in GTM. You’ll learn where AI excels, where it stumbles, and how to build systems that keep human intelligence in the loop. We’ll cover:

Data quality – Why AI is only as good as the data it’s fed, and how bad data breaks automation.
Prompt engineering – How getting value from AI means mastering the inputs, not just relying on outputs.
Risk management – Where AI can augment the GTM teams, and where replacing humans can backfire.

Walk away with a clearer view of what’s hype, what’s real, and how to responsibly scale AI across your GTM motion. (Hint: And we’ll send you home with an AI Prompt Engineering Handbook!)

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Ryan Nelson

Openprise

Phuong Pham

JumpCloud

Jessica Ruane

Openprise

David York

DRGN Studios

Funnel vision: Automated B2B attribution from click to closeAttribution isn’t just about proving marketing’s impact. It’s the key to automating your entire funnel.

In this session, Josh pulls back the curtain on his B2B attribution methodology. He will reveal proven frameworks, best practices, that can be leveraged within any B2B organization to drive full-funnel marketing automation — from first touch to closed-won. You'll hear how his team built a flexible attribution framework that not only measures performance across every channel and stage, but also powers scoring, routing, segmentation, and reporting in real time.

He’ll dig into:

Why attribution isn’t a standalone reporting exercise—it’s the backbone of a fully automated funnel
How Openprise helps B2B organizations with specific workflows and automation used to clean, enrich, and unify campaign and CRM data without manual intervention
Lessons learned from scaling automation across marketing and sales ops, including time saved, systems streamlined, and how they proved ROI to leadership

Whether you're stuck in spreadsheet chaos or trying to convince leadership to invest in ops-led growth, this session will provide you with a blueprint to rethink your funnel and automate it.

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Josh Ren

Palo Alto Networks

From clean data to real results: How Health Catalyst scaled segmentation, automation, and GTM alignmentClean data alone won’t save your go-to-market strategy. With nearly two decades of experience in marketing and RevOps, the Marketing ops team inherited a “clean” data environment—only to discover blind spots in segmentation, AI intent accuracy, and operational scalability.

In this session, you’ll learn how their team rebuilt a rock-solid data foundation and operationalized it with automation and real-time orchestration using Openprise to overcome common limitations in CRM and MAP systems. You’ll learn how to:

Streamline lead segmentation for buyer persona and buying group alignment
Power cross-sell/upsell paths and survey targeting using product data
Organizing data to power time-bound attribution models

You’ll leave with a playbook for turning “clean” data into real GTM results—plus a few sanity-saving tips on when to automate, when to simplify, and how to explain it all in a language the business actually understands.

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Ali Rastiello

Health Catalyst

Cortney Lassetter

Health Catalyst

AI only works if your data don’t suckAI promises to revolutionize go-to-market teams, but only if your foundation is solid. Drawing on decades of operational leadership, Jeff Yuille will share hard-won lessons on scaling AI in enterprise environments, where messy data, disconnected systems, and siloed processes often derail even the most promising initiatives.

In this session, Jeff breaks down what it really took to make AI feasible and impactful for GTM teams at Five9. He will share how Five9 is deploying AI agents, managing attribution at scale, and navigating the hard truth about AI adoption: strategy is nothing without strong operational support. You’ll learn:

How he uses AI agents to streamline marketing operations
How he built his AI Operational Support System (AI OSS)
The “secret sauce” behind his full funnel automated attribution model
Why operational context matters more than ever in the age of AI

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Jeff Yuille

Five9

Monday, 10/27

3:35 - 4:15 PM

How Vimeo built a composable MAP to unlock PLG and enterprise growthFor a product-led company like Vimeo, traditional marketing automation platforms couldn’t keep up with the complexity of their growth motion. Their freemium users often turn into high-value enterprise customers, but the systems meant to support that journey weren’t designed to recognize it. With users, buyers, and customers living in disconnected platforms, personalization and targeting broke down.

In this session, JD Nelson and Mitch Janning walk through Vimeo’s bold decision to rebuild their GTM tech stack with best-in-class tools like Openprise, MessageGears, and Salesforce—and how they navigated the process. You'll learn:

Why Vimeo chose to build a composable MAP and how they architected a modular, PLG-ready stack to support flexibility and scale
How they reshape their segmentation and targeting approach to identify “enterprise intent” in freemium users
What it took to unify user, buyer, and contract data scattered across systems to identify buying groups

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JD Nelson

Vimeo

Mitch Janning

Vimeo

Openprise at Mops-Apalooza

Open25 + MOpza Schedule

Book a meeting to see how data quality—built for humans and AI—drives GTM success

Openprise at
Mops-Apalooza