Aligning Skills: AR Development vs. Marketing Expertise

Building AR experiences in SaaS ecommerce platforms isn’t just about code or design—your team needs a blend of technical and marketing skills. From my time leading AR projects at three different SaaS companies, the split between AR developers and marketers was critical.

What worked: Having dedicated AR developers who understand 3D modeling, spatial computing, and mobile SDKs (Apple’s ARKit, Google’s ARCore) was non-negotiable. They handled the technical challenges of rendering products in a user’s environment without lag or distortion. Meanwhile, marketing team members focused on user journeys, activation flows, and messaging tailored to the AR experience.

What sounds good but often fails: Expecting generalist marketers to upskill quickly enough in AR tech or developers to manage customer engagement strategies. Both disciplines require distinct mindsets. For example, I once tried to save budget by assigning a front-end developer to content customization for AR onboarding. The result? A delayed launch and an underwhelming user interface that hurt activation rates.

Recommendation: Start by hiring or contracting AR developers first, then embed marketers with product expertise to optimize user onboarding and feature adoption. Cross-training is useful but secondary.

Structuring Teams: Centralized AR Pods vs. Cross-Functional Squads

Should your AR-focused team be standalone or integrated within cross-functional squads? I’ve tested both at my previous companies.

Centralized AR Pods
Pros:

• Deep focus on AR tech development.
• Easier to share knowledge and troubleshoot AR-specific issues.

Cons:

• Risk of siloing, leading to disjointed user experience from marketing to product.
• Slower feedback loops on how AR affects onboarding or churn.

Cross-Functional AR Squads
Pros:

• Direct collaboration between developers, marketers, and data analysts.
• Faster iteration on AR features based on immediate user feedback and activation metrics.

Cons:

• Requires strong leadership to keep squad aligned on AR goals.
• Possible dilution of AR expertise if team members juggle multiple priorities.

In one ecommerce platform project, moving from a centralized AR team to a cross-functional squad cut feature iteration time by 30%. Activation rates for the AR product visualization feature jumped from 5% to 12% within the first quarter post-launch.

Recommendation: For mid-level marketers pushing AR adoption, embedding AR specialists in cross-functional squads usually leads to better user onboarding and churn reduction outcomes, provided team leadership is proactive.

Onboarding AR Specialists: What Actually Helps

Hiring AR talent is tough. The market for skilled AR developers with SaaS or ecommerce experience is tight, and onboarding them is another hurdle.

What helped:

• Structured onboarding with product demos showing how the AR feature fits into user journeys.
• Pairing new hires with marketing folks early so they understand KPIs like activation and churn rates.
• Using onboarding surveys (Zigpoll was particularly effective for quick sentiment checks) to gather what new team members find confusing or challenging.

What doesn’t:

• A generic onboarding checklist focusing only on coding environments or SaaS basics.
• Assuming AR specialists will “figure out” customer pain points through product docs alone.

For example, one AR developer at a SaaS ecommerce platform reported a 40% faster ramp-up time when paired with a marketing mentor who explained onboarding funnels and churn drivers. The added context helped prioritize feature tweaks.

Recommendation: Make onboarding about more than technical setup. Define clear connections between AR deliverables and SaaS lifecycle metrics. Use onboarding surveys early to get feedback on what’s missing.

Developing AR Skills Internally vs. Hiring Externally

Deciding whether to develop AR skills in-house or hire externally is a classic dilemma. Here’s what I found after juggling this question across multiple SaaS teams.

Developing internally:

• Upskilling existing developers or marketers through online courses or AR bootcamps can work if you have time and motivated talent.
• This approach preserves cultural fit and institutional knowledge.

Downsides:

• Learning curves are steep, and it may take months before the quality of AR output meets user expectations.
• Risk that marketing timelines or feature rollouts suffer while the team learns.

Hiring externally:

• Brings in ready expertise, reducing time-to-market for AR features.
• External hires often have broader AR ecosystem knowledge.

Downsides:

• Costly; salaries for AR specialists in SaaS ecommerce are rising.
• Integration into company culture and product vision takes effort.

One SaaS company I worked with replaced two months of internal training with a senior AR hire. The new hire led a feature launch that increased product demos via AR by 3x, directly lifting onboarding activation by 8%.

Recommendation: For mid-level marketing leaders aiming for quick AR impact, hiring externally is often preferable. Consider internal development for longer-term capacity building, especially if budget is tight.

Measuring Team Impact: Feedback Collection Tools and Metrics

Tracking whether your AR team is truly moving the needle on user onboarding and churn is essential. From experience, relying solely on quantitative SaaS metrics (activation rates, conversion, churn reduction) misses nuances.

What worked:

• Combining product analytics with qualitative user feedback surveys delivered actionable insights.
• Tools like Zigpoll enabled lightweight, in-app surveys that captured user sentiment after AR interactions.
• Feature feedback collection platforms like Pendo or Hotjar helped surface friction points in AR onboarding flows.

What didn’t:

• Only reviewing raw activation stats without feedback often led to false assumptions—such as presuming low AR usage reflected lack of interest rather than confusing onboarding steps.
• Overloading users with too many surveys backfired, increasing churn.

A team at an ecommerce SaaS platform doubled AR feature adoption from 6% to 12% by iterating onboarding flows based on combined usage data and feedback collected via Zigpoll and Pendo.

Recommendation: Don’t rely on just one type of data. Use a mix of analytics and targeted surveys to optimize AR onboarding experiences. Zigpoll is a good starting point for lightweight feedback, complemented by deeper product analytics.

Final Thoughts on Team-Building for AR in SaaS Ecommerce Platforms

Augmented reality is a promising frontier for product-led growth in SaaS ecommerce platforms. But mid-level marketing professionals should remember it’s as much a team challenge as a technical one.

Clearly defining roles between AR developers and marketers, choosing the right team structure, investing in onboarding, and combining internal upskilling with external hiring—these are practical steps grounded in what I’ve seen work repeatedly.

Above all, build feedback loops that include usage data and direct user input. Without that, even the slickest AR experience won’t reduce churn or boost activation.

A 2024 Forrester report showed that SaaS companies integrating AR into their onboarding saw 15% faster time-to-value, but only when marketing and AR teams collaborated deeply. That collaboration starts with how you build and develop your teams.