Conveo

What do they actually do

Conveo provides an end-to-end platform for qualitative research. Teams design studies by uploading a brief or topic guide (or generating one), recruit participants via shareable links or panel integrations, and run asynchronous video or voice interviews moderated by AI that follows a guide and asks dynamic follow-ups (site, docs, product).

After interviews finish, Conveo automatically transcribes and, if needed, translates responses, then produces executive summaries, thematic analysis, personas, emotion/tone signals, and quotable video clips. Researchers can also query the dataset via a “talk to your data” feature (docs — features, docs — personas/analysis).

Outputs are stored in a searchable insight library that teams can share with stakeholders; the platform emphasizes enterprise use by in-house research teams and agencies, and publicly lists enterprise customers such as Unilever, Orange, Sanofi, and Google (product, press/customers).

Who are their target customer(s)

• Consumer insights teams at large brands (CPG, telecom, pharma): They need fast, repeatable qualitative research but face weeks-long cycles for moderated interviews and manual synthesis, slowing product and marketing decisions (YC, product).
• Product and UX researchers inside tech companies: They must collect quick feedback on flows and prototypes but have limited bandwidth to moderate sessions and tag insights; manual analysis creates backlogs (docs, analysis docs).
• Market research agencies: High moderator labor costs and long turnarounds make it hard to run many client studies and package consistent deliverables at scale (YC, product).
• Creative and advertising teams/agencies: They need rapid consumer reactions and quotable video highlights for clients, but recruiting and editing slow campaign timelines (product, ROI tool).
• Enterprise research ops and insight managers: Research is scattered across teams and tools, making it hard to search, reuse past learnings, and demonstrate ROI across projects (docs, API).

How would they acquire their first 10, 50, and 100 customers

• First 10: Founder-led, high-touch pilots (4–6 weeks) with guaranteed deliverables (executive summary, 5–10 clips, ROI readout); use the ROI calculator and short case packs from early logos to convert pilots into paid trials and secure written references (press/customers, ROI tool).
• First 50: Hire 1–2 AEs and a CSM; standardize vertical playbooks (CPG, telecom, pharma), pricing/SOW/security, and run targeted ABM to research leaders; publish brief case studies and form partnerships with panel providers/agency partners to reduce recruiting friction (YC/jobs, product).
• First 100: Scale via channel partnerships (panel providers, agencies as resellers), launch a self-serve pay-as-you-go plan for smaller teams, and ship integrations/API connectors to fit into enterprise workflows; build a small enterprise GTM org and ROI dashboards to convert pilots into multi-year deals (API, G2 pricing signal).

What is the rough total addressable market

Top-down context:

Global insights spend puts the research-software sector at roughly ~$56B; adding the online/mobile qualitative slice of service spend (~$6–9B) suggests an overall TAM of about $60–65B for Conveo’s category (ESOMAR/Research World, ACEI/ESOMAR PDF, Statista).

Bottom-up calculation:

Using an enterprise ACV of ~$45k/year (public G2 signal), reaching $100M ARR would require ~2,200 enterprise customers (100,000,000 / 45,000 ≈ 2,222), which is plausible across target verticals if Conveo wins share of enterprise research teams and agencies (G2 pricing).

Assumptions:

• Enterprise ACV approximates ~$45k/year based on public listings (varies by seat/volume/security).
• Conveo competes for both research software budgets and a portion of online qualitative services spend.
• Enterprise buyers in CPG, telecom, pharma, tech, and agencies are accessible via direct and channel sales at listed price points.

Who are some of their notable competitors

• PlaybookUX: User research platform for unmoderated and moderated video sessions with transcription, AI summaries, highlight reels, and an integrated panel—an end-to-end alternative for recruiting→interviewing→clips (features, AI).
• UserTesting: Enterprise human-insight platform offering live (moderated) and unmoderated video sessions, a large contributor network, and enterprise reporting/services—competes on speed-to-insight at scale (platform, Live Conversation).
• dscout: Mobile-first qualitative platform for diary, field, and interview studies with rich video capture, tagging, playlists, and AI-assisted synthesis—strong for longitudinal, in-context research (overview, diary studies).
• Dovetail: Research repository and synthesis tool with searchable insights, tagging, AI summaries, and integrations—overlaps with Conveo’s insight library even though it doesn’t run AI-moderated interviews (product, repository explainer).
• Respondent.io: Participant recruitment marketplace handling screening, incentives, and scheduling with integrations—competes on the recruiting/panel side; often paired with external research tools (recruiting, integrations).