Most AR/VR/Metaverse companies burn through ad spend because their agency writes copy for a product category that mainstream buyers do not yet understand. Winston Francois embeds paid search operators who can explain spatial computing to a CFO and a developer in the same campaign. We have built and run these programs inside immersive tech companies – not as consultants watching from outside.
The Problem
Generic agencies cannot explain what your product actually does
Most paid search agencies copy-paste consumer SEM frameworks onto AR/VR products and wonder why conversion rates are dismal. When a buyer searches for 'enterprise AR training software,' they need copy that speaks directly to their deployment constraints, hardware compatibility questions, and ROI model – not a generic landing page about 'immersive experiences.' Poor ad-to-landing-page alignment in this category wastes 40-60% of media spend before a single qualified lead touches your funnel.
Keyword strategy built on the wrong demand signals
AR/VR/Metaverse markets sit at the intersection of nascent consumer demand and established enterprise software buying patterns. An agency pulling keyword volume data sees thin search volume and either underbids on niche terms or pivots to broad terms where you compete against consumer VR headset retailers. Neither move produces pipeline. The actual intent signals that matter – device platform, use case verticals, integration ecosystems – require category knowledge that generalist SEM teams do not carry.
Long sales cycles make attribution invisible to standard reporting
Enterprise AR/VR deals take 90-180 days from first ad click to signed contract. Standard agency reporting shows 30-day windows and declares campaigns underperforming. Without multi-touch attribution that accounts for your actual sales cycle, budget gets cut from the programs generating late-stage pipeline and reallocated to top-of-funnel campaigns that look good on a dashboard but never close. This reporting blind spot directly costs you revenue quarter after quarter.
No one on the team owns the paid search program end-to-end
Early-stage AR/VR companies rarely have a dedicated demand gen hire. The job lands on a product marketer who understands the technology but has never managed a $50K/month SEM budget, or on a growth generalist who knows paid channels but cannot write technically credible copy for spatial computing. The result is a program that runs but never compounds – no structural testing, no audience segmentation by use case, no systematic bid strategy tied to pipeline data from the CRM.
How We Help
We start every AR/VR/Metaverse paid search engagement with a structured audit of your current account, your pipeline data, and your sales team's intake notes. We want to know which ad clicks actually turned into demos, which demos turned into pilots, and which pilots closed.
From that audit we build a keyword architecture that maps to how your actual buyers search – not how your product team describes the technology. Enterprise buyers looking for AR-assisted maintenance workflows search differently than developers evaluating a metaverse SDK. We build separate campaign structures for each audience segment, with distinct bidding logic, ad copy, and landing page direction.
On execution, we embed directly with your team. That means we are in your Slack, on your weekly pipeline calls, and reading your sales call recordings. When a sales rep says 'we keep losing deals because buyers think we only work on Meta Quest,' that insight immediately changes our campaign copy and negative keyword lists.
We handle all paid [marketing](/services/marketing/) channel execution inside the program: Google Search, Bing, LinkedIn Sponsored Content when it supports the SEM strategy, and YouTube TrueView for consideration-stage buyers who need to see the product in motion before they will click a search ad.
Measurement is configured before the first dollar is spent. We set up conversion tracking that captures every meaningful action – not just form fills, but demo bookings, pricing page visits, and documentation downloads segmented by product area. We connect that data back to pipeline and closed-won revenue in your CRM so every optimization decision is tied to actual business outcomes, not ad platform metrics.
As the program matures, we run a structured testing calendar – copy tests, landing page experiments, bid strategy comparisons – with enough statistical rigor to produce learnings rather than noise. AR/VR markets shift fast as hardware platforms evolve and enterprise adoption curves steepen; the program needs to adapt every quarter, not once a year.
The handoff plan is explicit from day one. We document the account structure, the bidding logic, the testing framework, and the reporting cadence so your team can take over or transition to another operator without losing six months of institutional knowledge. We build programs meant to outlast our involvement.
What we deliver
- Account audit and pipeline attribution analysis – connecting ad spend to closed revenue before any changes are made
- Keyword architecture by buyer segment – separate structures for enterprise, developer, and consumer audiences with distinct intent signals
- Ad copy and landing page direction specific to AR/VR/Metaverse use cases and objections
- Multi-touch attribution setup connecting Google Ads and LinkedIn to CRM pipeline and revenue data
- Monthly testing calendar with copy, bid strategy, and landing page experiments and documented results
- Weekly reporting tied to pipeline metrics, not vanity ad metrics
In AR/VR paid search, the biggest waste is not bad bidding – it is running campaigns that assume buyers already understand what spatial computing does for them. The copy has to do that education work before the click.
Our Methodology
Every engagement runs on a 90-day sprint model. The first 30 days are audit and setup – no new spend until we understand where the current program is wasting money and where the pipeline data says buyers are actually converting. Days 31-60 are controlled launch – new campaign structures go live with conservative budgets while we validate that our keyword and copy assumptions match actual buyer behavior. Days 61-90 are scale – we increase spend on what is working and cut what is not, with a documented rationale for every budget move.
What makes this different from a consulting arrangement is that we do the work. There is no deliverable deck that lands in your inbox for your team to implement. We are in the ad accounts, writing the copy, adjusting the bids, talking to your sales reps. The operator model means decisions happen in hours, not weeks of approval cycles.
We treat each quarter as a new sprint. Markets in AR/VR shift as new hardware launches, as enterprise procurement processes evolve, and as competitors change their messaging. A program that worked in Q1 needs to be re-examined in Q3. We build in that re-examination as a structural feature of the engagement, not as an optional add-on.
How We Work
The first 30 days are diagnostic. We audit the ad account, pull pipeline data with your sales ops contact, and interview two or three sales reps about what objections they hear most. At the end of 30 days you have a written account of what is working, what is not, and the specific changes we are making – before we have spent a dollar of your media budget on our new approach.
The Winston Francois team on a paid search engagement is typically one senior operator who owns strategy and execution, plus a copywriter with category knowledge in technology or enterprise SaaS. On your side we need a sales ops contact for CRM data access, a subject matter expert for technical copy review, and an executive sponsor for budget decisions. We do not need a dedicated marketing manager from your team – that is the point of the embedded model.
The weekly rhythm is a 30-minute sync covering what changed in the account, what is coming up in the testing calendar, and any sales feedback that should change campaign direction. Monthly we produce a one-page summary of spend, pipeline influenced, and revenue attributed, with a forward-looking plan for the next month. Quarterly we run a full program review and set new targets.
Most engagements run six to twelve months. The first three months are required to build the account structure, run initial tests, and generate enough data to optimize meaningfully. Companies that have been running paid search with weak attribution often see the biggest gains in months four through six, when the measurement infrastructure we built in month one starts producing reliable signals.
- Improved pipeline quality – more demos from buyers who match your ICP and fewer disqualified leads from broad keyword traffic
- Lower cost per qualified opportunity as campaign structure tightens around proven intent signals
- Attribution clarity – knowing which campaigns and keywords influence closed deals, not just form fills
If your ar / vr / metaverse company needs paid search (sem) leadership, we should talk.
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Frequently asked questions
How much does a Paid Search (SEM) engagement cost for AR / VR / Metaverse companies?
Engagements typically run $15,000 to $35,000 per month depending on media budget size, number of audience segments, and how much foundational attribution work needs to be done. That range covers strategy, execution, and measurement – not just management fees on top of media spend.
How long before we see results from Paid Search (SEM)?
The first 30 days are audit and setup with no expectation of new pipeline. Days 31-60 are controlled launch – expect early data on which segments are responding, but not volume.
How does the Paid Search (SEM) team integrate with our existing staff?
We join your Slack, attend your weekly pipeline call, and get read access to your CRM. We do not need a project manager assigned to us or weekly status meetings – we are operators, not a vendor to be managed.
What makes Winston Francois different from a traditional Paid Search (SEM) agency?
Traditional agencies optimize for metrics that are easy to report – clicks, impressions, cost per click – because those metrics make their dashboards look good. We optimize for pipeline and revenue, which requires deep integration with your sales data and honest conversations when the numbers are not moving.
How do you measure ROI from Paid Search (SEM) for AR / VR / Metaverse?
We measure three things: cost per qualified opportunity (a demo with a buyer who matches your ICP), pipeline influenced by paid search (deals where paid search was part of the buyer's journey), and closed revenue attributed to paid search with multi-touch credit. We set up this tracking in the first 30 days using your existing CRM and ad platforms – no new tools required in most cases.
What type of AR / VR / Metaverse company is the right fit?
The best fit is a company with $2M or more in annual revenue that has validated product-market fit in at least one use case but needs to build a repeatable inbound demand gen motion. Pre-revenue or very early-stage companies usually need brand and positioning work before paid search produces returns.
