Case studies
Each study below shows the revenue lever, the engagement shape, and the expected lift — based on our pilot architecture in the named industry.
Honest framing: these are example outcomes based on the architecture we ship to consumers daily. Real, named client studies replace each example as engagements close + clients sign off.
✦ Founding cohort · Lighthouse pending
Their logo, their numbers, their sign-off — published here the day the engagement ships. The studies below are example outcomes; this one will be real, and the founding client gets priority build, founding pricing, and final say over every word we publish.
One slot. Founding terms end when it's filled.
$4,200/mo
Recovered from no-shows
Industry
Healthcare
Solo dental practice · $1.1M ARR
47%
No-show reduction
2.4×
Faster patient intake
14 days
To first measurable outcome
Challenge
A solo practice on Dentrix was losing 8–12 appointments per week to no-shows, with another 30+ inquiry calls going to voicemail outside business hours. Manual SMS reminders had stopped working after the front-desk team got behind.
Approach
Two-week rollout of our HIPAA-aligned automation (BAA available on enterprise tier): 24h + 2h SMS reminders with reply-to-confirm, voice receptionist for after-hours with the practice's actual knowledge base, intake bot for new patients that hands off to a real callback when ready. All sends queued for daily review.
Outcome
Within 30 days: 47% reduction in no-shows ($4,200/mo recovered revenue), 24/7 inquiry coverage (zero voicemail rollovers), and 2.4× faster new-patient intake. Practice manager reclaimed 12 hours/week previously spent on reminder + intake calls.
180 hrs/mo
Engineering time freed
Industry
B2B SaaS
Series A SaaS startup · 30-person team · $4M ARR
3.5×
Organic traffic growth (6 mo)
12 → 4
Days to publish a technical post
9 markets
Localized + region-cleared
Challenge
Founder-led content strategy hit ceiling at 2 posts/month. Engineering team kept getting pulled into editorial review cycles. Competing companies were outpublishing 4-to-1.
Approach
We embedded Diya as the content-ops Director. Editorial calendar driven by keyword + customer-journey research; draft pipeline that pulls technical context from engineering tickets; multi-region clearance (US/EU/CA) before publish. Approval queue for the founder, average 5 min/post.
Outcome
Sustained 8 posts/month across 9 localized markets. Organic traffic grew 3.5× over six months. Engineering team reclaimed an estimated 180 hours/month previously spent on content review.
3.1×
Lead-to-showing conversion
Industry
Real Estate
Boutique brokerage · 6 agents · urban market
70%
Of leads after business hours — now answered
11 min
Avg response time (was 8h+)
0
Fair Housing language violations
Challenge
Most inquiries arrived between 7pm and 11pm; agents were missing them or replying the next day. By then, prospects had already booked tours with competing brokerages.
Approach
Multi-channel inquiry triage across MLS, Zillow, Instagram DMs, and brokerage website. Compliance-checked replies with Fair Housing guardrails. Lead scoring + automated booking — qualified leads get a direct calendar link to the right agent based on neighbourhood + budget.
Outcome
After 90 days: 3.1× lead-to-showing conversion. Avg response time 11 minutes (from 8h+). Zero Fair Housing language flags from compliance review. Lead origin attribution now per-channel — brokerage cut $4k/mo from underperforming portals.
Tell us about your business — we'll project the engagement shape and the revenue lever we'd open with.
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