01
Detect
Identify the cohort, region, product, campaign, or funnel stage that changed — before it becomes an expensive problem.
Consumer-backed growth decisions at scale,
10x faster
An always-on research agent that gets to the why behind customer behavior, speaks to the right people, and compounds what the brand learns.
Repeat purchase — North India
You and ConsumerOS
You
Why did repeat purchase for the new launch fall in North India?
Assistant
Completed 3 analyses ›
Repeat purchases for the new toner dropped 18%. Delivery-related cohorts and one interview theme point to shipping experience, not product satisfaction.
4 sources used
Should I run 12 follow-up interviews with lapsed repeat buyers?
Run 12 follow-up interviews
You
Run 12 follow-up interviews with lapsed repeat buyers
Action confirmed
Ask anything about your customers…
Detect the signal 01
Interview the right people 02
Decide with evidence 03
02
Interview
Ask a question in plain language. ConsumerOS selects the customers most likely to explain the signal and runs adaptive AI voice interviews with them.
Compiling new learnings
03
Decide
What customers said is connected to what they did. Ranked reasons, exposure, and confidence lead to an action — and the learning is kept for next time.
You
Why did repeat purchase for our new launch fall in North India?
Evidence for every decision, privacy by default, and a brand memory that compounds
North India cohort1Support tickets2Conclusions you can trace
Every conclusion links to the behavior, cohort, and customer quotes behind it.
3811
Consent and control
Interviews run with explicit consent, and access to customer data is permission-aware end to end.
ShopifySynced 1min ago12 new cohortsZendeskSynced 2min ago5 new signalsInterviewsSynced 1h ago3 interview themesThe brand memory compounds
Every study, order, interview, and decision is stored, so the next question starts from what you already know.
Weekly Retention Watch
This workflow watches repeat-purchase cohorts and triggers interviews when retention moves.
FrequencyWeekly08.00
Instructions
Detect a repeat-purchase drop, recruit the explanatory cohort, and prepare the next interviews.
Always-on diagnostics
Schedule recurring diagnostics like a weekly retention or monthly churn watch.
Every signal you need.
One operating picture.
ConsumerOS connects the behavior layer — orders, campaigns, product usage — with the voice layer — interviews, support, and reviews. What customers did and what they said stay linked, so the model never confuses the two.
Shopify✦Stripe✦PostHog✦Mixpanel✦Amplitude✦Intercom✦Zendesk✦Braze✦Google Analytics✦
Snowflake✦
Zapier✦
Looker✦
HubSpot✦
Attio✦Shopify✦Stripe✦PostHog✦Mixpanel✦Amplitude✦Intercom✦Zendesk✦Braze✦Google Analytics✦Snowflake✦Zapier✦Looker✦HubSpot✦Attio✦ConsumerOS for your AI stack
Expose the brand consumer model to your own agents via MCP and skills, with consumer-level verification on every answer.
ChatGPT
Mistral AI
Copilot
Cursor
Claude
GeminiProtected by design.
Governed by default.
GDPR & consent-first
In progressInterviews run with explicit consent, and personal data is handled under GDPR on our EU-based infrastructure.
Encryption & isolation
In progressCustomer behavior and interview data are encrypted in transit and kept isolated per brand.
SOC 2 & ISO 27001
In progressWe’re working toward certification, with an estimated completion in September 2026.
Frequently
Asked
Questions
What is ConsumerOS?
ConsumerOS is an always-on research agent for your brand. It watches your customer data for behavioral changes, diagnoses why they happen, and returns evidence-backed recommendations.
How does it talk to our customers?
With adaptive AI voice interviews. ConsumerOS recruits the customers most likely to explain a signal, schedules them, and holds a real conversation that probes context and follows useful threads.
What data does it need to start?
A minimum useful slice — your order, campaign, or product-usage data for the cohort or funnel in question. You decide what to connect; nothing is required until it’s needed.
How do you protect customer privacy?
Interviews run with explicit consent, access is permission-aware, and data is encrypted and kept isolated per brand. We never train shared models on your customers’ data.
Can we verify the recommendations?
Every conclusion links to its evidence — the behavior, the cohort, and the customer quotes behind it. Sample, coverage, and confidence remain visible.
Does ConsumerOS replace our research team?
No. It removes the operational tax of research — briefs, recruiting, scheduling, synthesis — so your team focuses on the decision. The agent runs the research; the team owns the choice.