Conversion Optimization for Audio Wellness Platform
- Conversion Optimization UX/UI Design
-
Conversion Rate Auditing Services
+5
- $10,000 to $49,999
- Apr. 2025 - Apr. 2026
- Quality
- 5.0
- Schedule
- 5.0
- Cost
- 5.0
- Willing to Refer
- 5.0
"Applica's project management was structured and consistent throughout the engagement."
- Information technology
- Clermont, Florida
- 1-10 Employees
- Online Review
- Verified
Applica provided conversion rate optimization (CRO) services for an audio wellness platform. The team conducted a product/UX audit, ran a Sean Ellis PMF survey, and executed a MaxDiff survey.
Applica's work led to a significant increase in trial start rate and overall conversion to paid customers. The team was structured and consistent throughout the engagement. They were genuinely invested in understanding the product and the audience before trying to optimize anything.
The client submitted this review online.
BACKGROUND
Please describe your company and position.
I am the Founder & CEO of Dwellspring
Describe what your company does in a single sentence.
Dwellspring is an audio wellness platform that provides sonic self-care through 350+ scientifically designed mixes, powerful customization tools, and a supportive community that helps millions reclaim their rest.
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire Applica to accomplish?
- Conversion rate optimization: Improve the full conversion funnel from app download through onboarding to trial start to paid subscription. This was the core of the engagement and included paywall redesign, onboarding flow optimization, pricing strategy, and A/B testing.
- Product audit and user research: Conduct a comprehensive product/UX audit of the Dwellspring app, run a Sean Ellis PMF survey to gauge product-market fit, and execute a MaxDiff survey to understand which features users valued most, all to inform our optimization strategy with real data instead of guesswork.
- Analytics and tooling infrastructure: Define a comprehensive event taxonomy, evaluate and recommend the right tools for experimentation and messaging (Statsig, Purchasely, Customer.io), and ensure we had the measurement foundation in place to actually track whether our optimization efforts were working.
SOLUTION
How did you find Applica?
Clutch Site
Why did you select Applica over others?
- High ratings
- They has specific expertise in the areas I needed the most help with.
How many teammates from Applica were assigned to this project?
2-5 Employees
Describe the scope of work in detail. Please include a summary of key deliverables.
Applica served as our outsourced conversion rate optimization (CRO) partner for the Dwellspring mobile app. Their scope covered the full funnel from app download through onboarding, trial start, and paid conversion, with a mix of research, UX design, analytics strategy, and experimentation. Key deliverables included:
- Product/UX audit: A comprehensive audit of the existing app experience identifying friction points, drop-off areas, and conversion opportunities.
- User research: Two major research initiatives. A Sean Ellis PMF (product-market fit) survey to gauge how indispensable the product was to users, and a MaxDiff survey to rank which features users valued most and would pay for.
- Monetization and competitor research: Category-specific analysis of competitor pricing models, paywall strategies, and monetization approaches to inform our own pricing decisions.
- Onboarding flow redesign: Multiple iterations of the onboarding experience, from 18 screens down to 11, including a podcast-specific welcome screen with personalized messaging for users coming from the podcast.
- Paywall design and optimization: Several paywall iterations including a multi-screen paywall, a reactivation offer paywall, and ultimately a simplified single-plan paywall that produced a measurable uplift in trial starts, conversion, and LTV.
- Exit-intent screen: An extended trial offer (14 days instead of 7) shown to users who dismiss the initial paywall, designed to recover abandoners without discounting.
- Analytics event taxonomy: A comprehensive event tracking plan across Mixpanel, covering onboarding completion, paywall interactions, feature usage, and subscription events to give us the measurement foundation we had been missing.
- Tool evaluation and integration strategy: Evaluated tools including Purchasely (remote paywall management), Statsig (A/B testing and feature flags), and Customer.io (lifecycle messaging), and provided recommendations on which to implement.
- Paywall exit survey: An in-app survey triggered when users close the paywall without starting a trial, to understand why people were declining. Pricing experiments: Tested multiple price points ($59.99 → $29.99, hard paywall vs. soft paywall, annual vs. monthly positioning) and provided data-driven recommendations on pricing strategy.
- Strategic assessment and handover: A thorough strategic assessment document and formal handover package including all hypothesis documentation, dev tickets, Figma designs, Mixpanel dashboards, and recommendations for next steps.
RESULTS & FEEDBACK
What were the measurable outcomes from the project that demonstrate progress or success?
The most significant measurable outcomes were:
- Hard paywall implementation drove a clear conversion uplift. When Applica recommended switching from a soft paywall (where users could skip and use the app for free) to a hard paywall requiring a trial to access content, our trial start rate roughly doubled and overall conversion to paid peaked at its highest point during the engagement. This was the single most impactful change they made.
- Simplified paywall design produced sustained improvement. Their final paywall iteration, a clean single-plan layout with an exit-intent extended trial offer, showed a measurable uplift in trial starts, conversion to paid, and LTV per customer that held steady for over a month after launch and has continued to hold since they rolled off.
- Onboarding completion rate improved from approximately 72% to 80% after they redesigned the flow from 18 screens down to 11, removing low-value screens and tightening the path to the paywall.
- Identified InstaRest as the key activation lever through qualitative user research. They found that users who discovered and used our InstaRest feature converted at roughly 53%, compared to less than 30% for users who did not, but only about 20% of trial users were finding the feature. This gave us a clear, data-backed roadmap for our next highest-leverage product investment.
- PMF survey established a baseline. Their Sean Ellis survey showed 31% of users would be "very disappointed" if the product went away, just below the 40% benchmark. This confirmed a loyal core user base exists while giving us a clear target to track as we improve the product.
- Built a comprehensive analytics event taxonomy that gave us, for the first time, reliable visibility into the full user journey from first app open through onboarding, paywall interaction, trial usage, and conversion. Before Applica, we were largely flying blind on where users were dropping off.
- Pricing discovery saved us from a costly mistake. Through testing, they proved that price was not the barrier to conversion. Cutting our annual price in half produced no observable improvement in conversion, which prevented us from leaving significant revenue on the table long term.
Describe their project management. Did they deliver items on time? How did they respond to your needs?
Applica's project management was structured and consistent throughout the engagement. We had a standing weekly sync call that stayed on the calendar for the full 12 months, and every single call came with a written agenda shared in advance and a follow-up recap with clear action items and owners posted in our shared Slack channel afterward. That level of discipline made it easy to stay aligned even when things got busy on my end.
They used a shared Notion workspace to organize everything: hypothesis documents, research plans, dev tickets, design links, strategic plans, and meeting notes. Everything was documented and easy to find, which was especially valuable when we onboarded a new product manager partway through the engagement. He was able to pick up context quickly because everything was so well organized.
In terms of delivery timelines, their research deliverables (product audit, PMF survey, MaxDiff survey, monetization research) were consistently delivered on time or close to it. The product audit was promised by early May and delivered on schedule. Surveys were planned, executed, and reported on within the timelines they set. Design deliverables moved at a good pace as well, with their UX designer turning around iterations quickly after feedback.
Where timelines got more complex was around anything that required my development team to implement, which was outside of Applica's control. They were dependent on my dev agency's sprint cycles and capacity for things like the onboarding flow, paywall changes, analytics events, and A/B testing infrastructure. To their credit, they wrote thorough dev tickets with clear requirements and even jumped on calls with my developers directly to answer technical questions and reduce back-and-forth.
They were also very responsive to feedback and direction changes. When I pushed back on copy, design details, or strategic direction, they adjusted without friction. They weren't precious about their work. If I had a different perspective on something, they listened, adapted, and moved forward.
What was your primary form of communication with Applica?
- Virtual Meeting
- Email or Messaging App
What did you find most impressive or unique about this company?
What impressed me most was how genuinely invested they were in understanding my product and my audience before trying to optimize anything.
A lot of CRO agencies come in with a playbook and start running experiments immediately. Applica did the opposite. They spent their first several weeks conducting a thorough product audit, running a product-market fit survey, and doing competitive and monetization research before making a single recommendation. They wanted to understand why my users were converting or not converting, not just test surface-level changes and hope something stuck.
That research-first approach led to their most valuable insight of the entire engagement: they discovered that users who found and used a specific feature in the app (InstaRest) converted at nearly double the rate of users who didn't, but only about 20% of trial users were even discovering it. That kind of finding doesn't come from running generic A/B tests. It comes from doing the hard work of actually understanding the product and the people using it.
The other thing that set them apart was their willingness to be honest when something wasn't working or when the data didn't support a direction we were heading. When a pricing experiment didn't produce the results we expected, they didn't spin it. They said "price isn't the barrier" and pivoted the strategy accordingly. When their A/B testing infrastructure hit technical problems, they acknowledged it, rolled it back, and adjusted the approach. That kind of intellectual honesty is rare and it saved us time and money.
Finally, their documentation was exceptional. Every hypothesis had a written rationale. Every test had defined success metrics before it launched. Every meeting had an agenda and follow-up. When the engagement ended, they delivered a comprehensive handover document that made it possible for me to continue the work on my own without losing any context. That level of thoroughness is not something I've experienced with other agencies.
Are there any areas for improvement or something Applica could have done differently?
No
RATINGS
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Quality
5.0Service & Deliverables
-
Schedule
5.0On time / deadlines
-
Cost
5.0Value / within estimates
-
Willing to Refer
5.0NPS