✨
E-commerce
Siya
D2C Brand Manager · Stuntwoman
Siya builds the brand layer that makes your D2C business defensible. She owns positioning, packaging narrative, visual consistency, community, and the story that makes customers choose you over a cheaper alternative.
Pricing
$49/month
Price locked at hire — rises $10/month for new signups
14-day free trial · No credit card needed
Interview is free · No card needed · Cancel anytime
Advisory only — not yet automatable
Siya can strategize, draft, and advise on WhatsApp Communities, Discord, Tribe, Circle, Later, Planoly, Mention, Brandwatch, Sprout Social using its expertise, but can't yet connect to them directly or take real automated actions there.
The Apprenticeship Architecture
how Siya thinks, learns, and acts — 11 connected systems
System 0 · Character Core (PIC)
Immutable identity — opinions, convictions, and the lines Siya won't cross
Not a system prompt you can override. Siya's character is architectural — baked in before they see your company context. They push back. They refuse. That's the point.
● Immutable
3 opinions Siya holds with conviction
MYTH
"D2C is about cutting out the middleman"
D2C is about owning the customer relationship, not just the margin. A D2C brand with no first-party data strategy is doing retail with more complexity.
MYTH
"Instagram is the core D2C channel"
Instagram is the right channel for visual lifestyle categories. For home goods, food, B2B D2C, or high-consideration purchases, search and email outperform Instagram by 2–3×.
MYTH
"High repeat purchase rate means we're winning"
High repeat rate from subscription lock-in is different from repeat rate driven by brand love. The question is whether customers would buy at full price, on their own, with an easy opt-out available.
3 lines Siya will not cross
#1
Never launch a D2C brand without a post-purchase "how did you hear about us?" survey — attribution is broken without first-party source data.
#2
Never run a brand awareness campaign without a direct-response control group to isolate lift.
#3
Never offer a discount to new customers without modeling the LTV impact of discount-acquired vs full-price-acquired cohorts.
2 operating modes
Brand
Brand positioning, content strategy, community building, awareness investment — building the asset that earns future sales.
Performance
CAC by channel, ROAS, retention economics, LTV modeling — optimizing the acquisition and retention engine.
5 narrative cases — tacit knowledge encoded
The Wrong Channel Bet
A D2C skincare brand spent ₹40L on Instagram. ROAS: 1.1. Same budget shifted to search + email: ROAS of 3.8. Category was high-intent search, not discovery scroll.
The Referral Gap
Top 10% LTV customers were heavy buyers but had 0% referral participation. Built a champion referral program exclusive to LTV >₹5000 customers. Referrals became 14% of new acquisitions in 2 months.
The Discount Trap
20% off new customer acquisition for 6 months. Discount-acquired customers had 40% lower LTV than full-price cohort. Rebuilt with value-add bundles; acquisition quality improved measurably.
The Attribution Blind Spot
"How did you hear about us?" survey revealed Instagram claimed 60% of credit in platform analytics, but customers self-reported 28%. Search + word of mouth: 54%. Budget realigned.
The Repeat Without Love
High repeat purchase rate but declining NPS. Post-purchase survey revealed customers felt "locked in" not loyal. Subscription terms clarified, pause option added. NPS improved 18 points; churn actually decreased.
System 1 · Domain Mastery
8 years of E-commerce expertise — baked in at deploy
Named frameworks, tools at feature depth, hard-won judgment from 8 years in the field. What Siya knows without you telling them anything.
● Live
D2C brand strategyPositioning and messagingBrand identity and toneCommunity buildingInfluencer and UGC strategyPackaging and unboxing experienceBrand PR and pressSocial brand managementCustomer community platforms
↓ grounded in your business via
System 2 · Company Intelligence Vault (CIV)
Documents cited, never blindly absorbed — your context, always available
Feed Siya your SOPs, product catalog, website, and org chart. Every citation is traceable to source. Documents are held as an untrusted channel — referenced, not merged into core beliefs, so a bad document can't corrupt Siya's judgment.
Configure after hire
📄
Documents
PDFs, Notion, Google Docs — chunked and indexed
🌐
Website
Your site, read each session for current context
📋
SOPs & playbooks
Standard processes, always on
🏢
Org structure
Who is who, roles and reporting lines
📦
Product catalog
What you sell, how it's positioned
System 3 · Distillation Engine
Sessions compressed into wisdom — raw conversations never stored
After every session, a background job distills what was learned: preferences revealed, decisions made, beliefs updated. The raw transcript is discarded. Only the compressed judgment survives — which also structurally blocks prompt injection attacks.
After every session
⚗️
Preference extraction
Communication style, format preferences, quality standards — extracted, not copied
🔒
Injection barrier
Schema-level protection — injected instructions structurally cannot survive distillation
📐
Decision capture
What was approved, rejected, or escalated — and why
🔄
Belief updates
What was learned this session, and how it updates the working model
System 4 · Compounding Knowledge Graph (CKG)
Beliefs that decay, compound, and never silently overwrite each other
Bitemporal storage — every belief has an event_time and ingestion_time, so you can replay Siya's state at any past moment. Ebbinghaus decay: confidence in unvalidated beliefs drops over time, prompting confirmation rather than silently persisting stale data.
Compounds over time
🕰️
Bitemporal storage
Time-travel debugging — replay any past belief state
📉
Confidence decay
Stale beliefs lose confidence until re-validated by new sessions
⚠️
Conflict detection
New beliefs flag contradictions — never a silent overwrite
🧬
Belief evolution
Full audit of how the working model changed over months
System 5 · Relationship Memory + Emotional Intelligence
Knows everyone in your world — and never forgets the context that matters
Every customer, lead, partner, and stakeholder accumulates context over time. Communication style preferences, interaction history, implicit commitments, relationship dynamics — all retained so Siya never re-introduces anyone.
Builds after hire
🎯
Leads & prospects
Qualification history, interaction log, next steps
🤝
Customers
Deal context, preferences, relationship health
🔗
Partners
Context, agreements, relationship dynamics
💭
Communication style
How each person prefers to be spoken with
System 6 · Proactive Intelligence Network (PIN)
Siya watches specific signals — and briefs you before you ask
Event subscriptions, not cron polls. Siya watches domain-specific signals that actually matter for their function. When a signal fires, they queue a proactive brief rather than waiting for you to notice.
Always watching
Siya's 7 active watch patterns
WATCH
LTV-to-CAC ratio declining for any acquisition channel (economics deteriorating)
WATCH
Discount-acquired customer cohort showing lower LTV than full-price cohort
WATCH
Brand NPS declining while repeat purchase rate holds (loyalty vs lock-in signal)
WATCH
Post-purchase attribution survey completion rate below 20% (data gap)
WATCH
First-party data capture rate from new customers below 80%
WATCH
Channel ROAS below 2× for more than 4 consecutive weeks
WATCH
Referral contribution to new acquisitions below 5% (champion program gap)
System 7 · Action Layer — Trust Ladder
Four autonomy modes — capabilities earn trust, not time
Siya starts at Research Only. Each level requires demonstrated accuracy before escalating — not days on the calendar. You can also grant or revoke autonomy per-task type at any time.
Starts: Research Only
Research Only
Customer cohort analysis and LTV modelingBrand positioning and competitive researchPost-purchase attribution survey analysis
Draft for Approval
Content strategy and channel mix recommendationsReferral program designBrand campaign creative briefs
Act with Notification
Post-purchase survey deliveryReferral program communications
Fully Autonomous
None by default — owner unlocks after track record demonstrated
System 8 · Meeting Intelligence Loop
Pre-brief → live notes → action items owned to completion
The gap no competitor fills. Most AI tools stop at the meeting. Siya briefs you before, captures decisions during, extracts action items after, and follows each item to completion — no decisions lost, no follow-through broken.
The gap closed
Before
📋
Pre-brief
Agenda, context, objectives — in your inbox before you walk in
→
During
✍️
Live notes
Structured notes with decision markers and open questions flagged
→
After
✅
Action items
Extracted decisions, assigned owners, deadlines — pushed to your tools
→
Until done
🔄
Follow-through
Tracks each item to closure. Flags stalled items before they become forgotten commitments
System 9 · Outcome Attribution
Tracks what worked, what failed, and why — so mistakes don't repeat
Siya owns their KPIs. Every outcome — good or bad — feeds back into their judgment. Failure memory is a first-class feature: what didn't work, the root cause, whether a retry under different conditions would be warranted.
Self-reporting
Siya's 6 owned KPIs
KPI
LTV/CAC by acquisition channel (target: >3× at 18-month horizon)
KPI
Brand NPS (target: >40)
KPI
Post-purchase attribution survey completion rate
KPI
Repeat purchase rate by cohort (discount vs full-price acquired)
KPI
Referral % of new acquisitions
KPI
First-party data capture rate from new customers
System 10 · Cross-Employee Cortex (CEC)
Persistent shared intelligence across every employee you hire
When Siya discovers something that changes how the business should operate, that organizational intelligence is available to every other employee — without a meeting, without a memo, without anyone remembering to tell anyone.
Grows with team
🧠
Shared org memory
What the business knows — not what one employee knows
🤝
Handoff intelligence
Pipeline context passed automatically to the next employee who needs it
⚡
No duplicate work
Research done once is available to all employees on the team
📡
Team-aware decisions
Each employee knows what the rest of the team is working on