Check Demo Analytics

Announce:

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Demo Analytics Report
Checking environment...
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STEP 0 — Check Environment

Read .env in the current directory and source it.

Required tokens (variable names should be obvious from context):

CRM API — contains "CRM" + "TOKEN"
Ackee API — contains "ACKEE" + "TOKEN", and an "ACKEE" + "DOMAIN" URL

Stop if missing.

Ackee config:

API: $<ACKEE_DOMAIN_VAR>/api (GraphQL)
Demo domain ID: 4bdddc8c-11d9-4d7e-ab94-aeb7866f0bb2
Auth: Authorization: Bearer $<ACKEE_TOKEN_VAR>

Once verified: Environment OK. Pulling analytics...

STEP 1 — Get Demo Page Views from Ackee

Query Ackee for page-level statistics on the demo domain:

curl -s -X POST "$<ACKEE_DOMAIN_VAR>/api" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $<ACKEE_TOKEN_VAR>" \
  -d '{"query":"{ domain(id: \"4bdddc8c-11d9-4d7e-ab94-aeb7866f0bb2\") { statistics { pages(sorting: TOP, range: LAST_30_DAYS) { id value count } views(interval: DAILY, type: UNIQUE, limit: 30) { id count } } } }"}'

From the pages results, extract views per demo page. The value field contains the URL path (e.g., /?id=abc123). Map each id parameter to a demo.

Also get total unique views over the last 30 days from the views array.

STEP 2 — Get Pipeline State from CRM

Query CRM for all active opportunities at SCREENING stage:

curl -s -X POST https://crm.psquared.dev/graphql \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $<CRM_TOKEN_VAR>" \
  -d '{"query":"{ opportunities(filter: { stage: { eq: SCREENING } }, first: 100) { edges { node { id name demoStatus demoUrl { primaryLinkUrl } company { name } createdAt } } } }"}'

Also get recently converted (PROPOSAL stage):

curl -s -X POST https://crm.psquared.dev/graphql \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $<CRM_TOKEN_VAR>" \
  -d '{"query":"{ opportunities(filter: { stage: { eq: PROPOSAL } }, first: 20) { edges { node { id name company { name } createdAt } } } }"}'

STEP 3 — Cross-Reference & Analyze

For each SCREENING opportunity with a demoUrl:

Extract the demoId from the URL (?id=xxx)
Find matching Ackee page views (match on /?id=xxx path)
Calculate days since outreach was sent (from demoStatus timestamps)

Categorize each opportunity:

Category	Criteria	Action needed
Hot	Views > 0 + demoStatus = SENT/FOLLOW_UP_SENT	Prospect is engaging — consider direct outreach
Warm	Views > 0 + not yet sent	Demo is getting organic traffic — prioritize sending
Cold	Views = 0 + SENT > 7 days ago	No engagement — follow-up or deprioritize
Fresh	SENT < 5 days ago	Too early to judge
Pending	PENDING_REVIEW or OK_TO_SEND	Still in pipeline — not yet sent
Converted	Stage = PROPOSAL	Already signed up

STEP 4 — Report

Announce:

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Demo Analytics Report — [date]

CONVERSION FUNNEL
─────────────────
Leads in CRM:           [N]
Demos built:            [N]  ([%] of leads)
Emails sent:            [N]  ([%] of demos)
Demo page viewed:       [N]  ([%] of sent — email→click rate)
CTA clicked:            [N]  ([%] of viewed — interest rate)
Signed up (PROPOSAL):   [N]  ([%] of CTA — conversion rate)
Paying (CUSTOMER):      [N]  ([%] of signups — close rate)

Overall: [N] leads → [N] customers = [%] conversion
At current rate: need ~[X] leads to get 1 paying customer

ACKEE EVENTS (last 30 days)
───────────────────────────
Demo page views:        [N] unique visitors
Widget opened:          [N] ([%] of views — engagement)
Plan selected:          [N] (Starter: [N], Pro: [N], Business: [N])
Activate CTA clicked:   [N]
Discover platform:      [N]

PIPELINE STATUS
───────────────
Pending review:    [N]
Ready to send:     [N]
Sent:              [N]
Follow-up sent:    [N]
Converted:         [N]

HOT LEADS (views + email sent)
  - [Company A] — [N] views, sent [N] days ago
  - [Company B] — [N] views, sent [N] days ago

COLD LEADS (no views, 7+ days)
  - [Company C] — 0 views, sent [N] days ago

RECOMMENDATIONS
  [Based on funnel bottleneck:]
  - If email→view rate is low: "Subject lines may need work, or emails landing in spam"
  - If view→CTA rate is low: "Demo pages aren't converting — check offer text, countdown, widget"
  - If CTA→signup rate is low: "Signup friction too high — check onboarding flow"
  - If signup→paid rate is low: "Trial experience or pricing needs adjustment"
  - Plus specific company-level recommendations
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STEP 5 — Query Ackee Events

To get event counts, query each event:

curl -s -X POST "$<ACKEE_DOMAIN_VAR>/api" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $<ACKEE_TOKEN_VAR>" \
  -d '{"query":"{ event(id: \"[eventId]\") { statistics { chart(interval: DAILY, type: TOTAL) { id count } list(sorting: TOP, type: TOTAL) { id value count } } } }"}'

Event IDs:

CTA Click: Claim Bot — 0f037f1c-c2c0-4205-b90d-3cb9bf66f9c2
CTA Click: Discover Platform — 1911cb2c-96a9-478e-8a45-82ae8fa71bc8
Widget Opened — df5c0d51-1e96-43a9-8d73-13e0e82e99b3
Plan Selected — 8693d36c-09a1-4b86-bf29-763e612f4843

The list query with sorting: TOP shows which demo pages / plans got the most actions. The key field contains the demoId or planId.