Generic marketing ops stacks break under the weight of AR/VR's enterprise complexity – fragmented contact databases, CRM models that cannot track hardware evaluation stages, and automation workflows built for SaaS trials rather than fleet deployments. Winston Francois builds and runs the marketing operations infrastructure that matches how AR/VR companies actually acquire and expand enterprise accounts. The result is a system your sales and marketing teams can trust and act on.
The Problem
CRM data models built for SaaS subscription sales cannot track AR/VR enterprise buying processes
Enterprise AR/VR deals move through stages that standard CRM templates do not recognize – hardware evaluation, pilot site selection, IT security review, procurement approval, and fleet rollout planning. When these stages are not modeled in the CRM, sales teams invent workarounds using fields meant for other purposes, and the data degrades within a quarter. Marketing cannot run account-based programs against a CRM that does not reflect the actual buying process, so campaigns target the wrong accounts at the wrong stage and produce low conversion rates that get blamed on creative or channel rather than on the broken data model underneath.
Marketing automation workflows designed for free trials do not work for hardware-dependent products
Most marketing automation sequences assume a buyer can start using the product immediately after showing interest – a reasonable assumption for SaaS. In AR/VR, the buyer needs to source hardware, get IT approval, train end users, and often run a pilot before they can evaluate the product at scale. An automation sequence that sends a trial extension email on day seven of a relationship that will take nine months to close is not just irrelevant – it signals to the buyer that you do not understand their procurement reality. Poor nurture sequences are one of the primary reasons AR/VR companies struggle to maintain engagement with warm accounts over the extended buying cycle.
Contact database quality degrades faster in immersive tech because the buyer landscape is still forming
The enterprise AR/VR buyer community is relatively small and shifting rapidly. Job titles that did not exist two years ago – Director of Spatial Computing, Head of XR Operations, VP of Immersive Experience – are now primary buyers. Standard contact enrichment tools do not know what to do with these titles, so they match to generic IT or operations contacts who are not decision-makers. Marketing teams end up running campaigns to outdated contact records while the actual buyers at target accounts go uncontacted. Database decay in immersive tech markets runs faster than in established enterprise categories and requires a different maintenance approach.
Reporting infrastructure fails to connect marketing activity to enterprise account outcomes
AR/VR enterprise deals close at the account level, not the contact level. A company purchases a training simulation platform for its entire regional operation. But if your marketing operations infrastructure tracks contacts rather than accounts, your pipeline reports will show dozens of leads from the same company as separate opportunities rather than as coordinated touches on a single account. Sales and marketing waste time reconciling contact-level data to understand account-level progress, and leadership cannot get a clear picture of pipeline health or marketing's contribution to it. The ops problem becomes a company-wide visibility problem.
How We Help
We start with a full audit of your current marketing operations stack – CRM configuration, marketing automation setup, contact database quality, integration architecture, and reporting layer. For most AR/VR companies at Series A or B, this audit surfaces three to five critical infrastructure gaps that are actively costing pipeline. We document each gap, its downstream impact, and the priority order for fixing it based on revenue impact.
The strategy phase produces a marketing ops architecture designed for immersive tech enterprise sales. This means a CRM data model with custom stages for hardware evaluation and pilot programs, contact hierarchies that reflect buying committee structures rather than flat lead lists, and account scoring models that weight hardware qualification alongside traditional firmographic and behavioral signals.
During the build phase, we configure or rebuild your core infrastructure. We restructure CRM pipeline stages and field definitions to match AR/VR buying processes. We rebuild or redesign marketing automation sequences around the realistic timeline of enterprise immersive tech adoption – multi-month nurture tracks that provide genuine value at each stage rather than generic trial-extension prompts. We connect your marketing automation to your CRM with clean, reliable data flows so that account activity is visible in both systems without manual reconciliation.
Contact database remediation is a standard part of our engagement because immersive tech databases degrade fast. We run a combination of enrichment tools and manual research processes to identify the actual decision-makers at your target accounts – the people with XR operations or spatial computing titles that standard enrichment tools miss. This step alone typically improves deliverability and campaign conversion rates within the first 60 days.
We build the reporting infrastructure that connects marketing activity to account-level pipeline progress. This is not a vanity metrics dashboard. It is a system your CMO can use to tell the board which channels are producing qualified enterprise pipeline, how long accounts take to move from first engagement to evaluation stage, and where deals are stalling in the marketing-to-sales handoff.
The fractional model means a senior marketing ops operator is embedded in your team throughout the engagement – attending planning sessions, responding to system questions, iterating the infrastructure as your market and go-to-market motion evolve. You get the expertise without the overhead of a full-time senior ops hire during a stage when your requirements are still changing rapidly.
What we deliver
- Marketing ops stack audit – documented inventory of current configuration, gaps, and priority fixes
- AR/VR-specific CRM data model – custom pipeline stages, fields, and account hierarchy for immersive tech sales
- Rebuilt marketing automation sequences – nurture tracks calibrated to enterprise AR/VR buying timelines
- Contact database remediation – enrichment and validation targeting XR-specific buyer roles
- Account-based reporting infrastructure – dashboards connecting marketing activity to enterprise account progression
- Integration architecture documentation – data flow maps and maintenance procedures for the full stack
AR/VR enterprise deals fail at the ops layer before they fail at the sales layer. When your CRM cannot model a hardware evaluation stage and your automation sends SaaS trial emails to buyers managing nine-month procurement cycles, you are not losing to competitors – you are losing to your own infrastructure.
Our Methodology
The 90-day sprint opens with a two-week diagnostic. We review your CRM configuration, marketing automation setup, contact data quality, and reporting stack. We interview marketing, sales, and revenue operations stakeholders to understand where the current systems create friction. The output is a prioritized rebuild plan with specific deliverables and timelines, not a general assessment.
Weeks three through eight are the build phase. We work inside your existing tools wherever possible – reconfiguring rather than replacing. We make CRM changes in a staging environment before deploying to production. We run rebuilt automation sequences in parallel with existing sequences during a validation period so your team can compare performance before cutting over. We do not flip switches and hope.
The final four weeks are the handoff and training phase. We document every configuration change, run your team through the new system, and establish the monthly maintenance cadence – database hygiene, automation audit, CRM data quality review – that keeps the infrastructure accurate as your market evolves. Unlike a traditional agency engagement, we remain embedded throughout the full term so that when a new use case or integration need emerges, we handle it without a new scoping process.
How We Work
The first 30 days are diagnostic and planning. We conduct the full ops audit, document the current state, and produce the rebuild roadmap with prioritized deliverables. You review and approve the plan before any configuration work begins.
Days 31 through 60 are the core build phase. CRM data model changes go in first because everything else depends on clean pipeline stage definitions. Marketing automation rebuild follows. Contact database remediation runs in parallel throughout this phase. By day 60, the core infrastructure is live and your team is operating on the new system.
Days 61 through 90 are validation and optimization. We monitor data quality, resolve integration issues, train your team on new workflows, and refine the reporting layer based on how your leadership is actually using it. Most clients see measurable improvement in sales and marketing alignment – fewer CRM data disputes, cleaner handoffs, faster reporting – within the first 90 days.
Full engagements run three to six months. The second and third months after the initial build focus on optimization, edge cases, and expanding the infrastructure as your marketing programs scale.
- CAC reduction through more precise account targeting and reduced waste on unqualified pipeline
- Pipeline acceleration from better-structured sales and marketing handoffs
- Improved database quality and deliverability across outbound campaigns
- Faster reporting cycles with reliable account-level pipeline visibility
If your ar / vr / metaverse company needs marketing operations leadership, we should talk.
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Frequently asked questions
How much does a marketing operations engagement cost for AR / VR / Metaverse companies?
Monthly retainers for marketing ops work run $10,000 to $20,000 per month depending on stack complexity, number of integrations, and whether we are reconfiguring existing tools or rebuilding core infrastructure. Project-based engagements for a defined ops build run $25,000 to $55,000.
How long before we see results from marketing operations work?
CRM data quality and automation improvements are visible within the first 30 to 45 days. Reporting accuracy – meaning your leadership can trust the pipeline numbers – typically improves within 60 days of the rebuild going live.
How does the marketing operations team integrate with our existing staff?
We embed directly with your marketing and revenue operations teams. We attend your weekly marketing and sales syncs, hold a dedicated ops working session each week, and are available for system questions throughout the engagement.
What makes Winston Francois different from a traditional marketing operations agency?
Traditional marketing ops agencies configure systems based on generic best practices. We configure systems based on how AR/VR enterprise deals actually work – with hardware evaluation stages, multi-month pilot programs, and buying committees that span operations, IT, and finance.
How do you measure ROI from a marketing operations engagement?
We track four primary outcomes: database quality scores, CRM data accuracy rates, marketing-to-sales handoff conversion rates, and reporting cycle time. We establish baselines in week one and measure against them monthly.
What type of AR / VR / Metaverse company is the right fit for this service?
The best fit is a Series A or B company with a functioning sales team that is struggling to scale because the marketing and sales systems do not talk to each other reliably. You typically have a CRM that was set up quickly during a growth sprint, marketing automation that is partially configured, and a marketing team that spends too much time pulling data manually instead of running programs.
