| name | ops-marketing |
| description | Marketing command center. Email campaigns (Klaviyo), paid ads (Meta/Google), analytics (GA4), SEO, and social media metrics. One dashboard for all marketing channels. |
| argument-hint | [email|ads|analytics|seo|social|campaigns|setup] |
| allowed-tools | ["Bash","Read","Write","Grep","Glob","Agent","TeamCreate","SendMessage","AskUserQuestion","WebFetch","WebSearch"] |
| effort | medium |
| maxTurns | 40 |
OPS ► MARKETING COMMAND CENTER
Runtime Context
Before executing, load available context:
-
Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json
timezone — display all timestamps correctlyklaviyo_private_key, meta_ads_token, meta_ad_account_id, ga4_property_id, google_search_console_site — check userConfig keys before env varsgoogle_ads_developer_token, google_ads_client_id, google_ads_client_secret, google_ads_refresh_token, google_ads_customer_id, google_ads_login_customer_id — Google Ads credentials
-
Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json
- If
action_needed is not null → surface it before running any channel queries
-
Secrets: Resolve API keys via userConfig → env vars → Doppler MCP (mcp__doppler__*) → Doppler CLI fallback (see Credential Resolution section below)
CLI/API Reference
Klaviyo REST API
| Endpoint | Method | Description |
|---|
https://a.klaviyo.com/api/lists/?fields[list]=name,id,profile_count | GET | All lists + subscriber counts |
https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at | GET | Recent campaigns |
https://a.klaviyo.com/api/flows/?filter=equals(status,'live') | GET | Active flows |
https://a.klaviyo.com/api/metrics/ | GET | Available metrics |
Auth header: Authorization: Klaviyo-API-Key ${KLAVIYO_KEY} | Revision header: revision: 2024-10-15
Meta Graph API
| Endpoint | Method | Description |
|---|
https://graph.facebook.com/v18.0/${META_ACCOUNT}/insights?fields=spend,...&date_preset=last_7d | GET | Account-level ad spend |
https://graph.facebook.com/v18.0/${META_ACCOUNT}/campaigns?fields=name,status,insights{...} | GET | Campaign breakdown |
https://graph.facebook.com/v18.0/me/accounts?fields=instagram_business_account | GET | Linked Instagram account |
Auth header: Authorization: Bearer ${META_TOKEN}
Google Analytics 4 (Data API)
| Endpoint | Method | Description |
|---|
https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport | POST | Run custom report |
Auth: gcloud ADC — GA4_TOKEN=$(gcloud auth application-default print-access-token)
Google Search Console
| Endpoint | Method | Description |
|---|
https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query | POST | Search performance data |
Auth: Same gcloud ADC token as GA4
Agent Teams support
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering channel data in parallel. This enables:
- Agents share context and can coordinate mid-flight
- You can steer priorities in real-time
- Agents report progress as they complete
Team setup (only when flag is enabled):
TeamCreate("marketing-team")
Agent(team_name="marketing-team", name="email-metrics", prompt="Pull Klaviyo subscriber counts, campaign stats, and flow metrics")
Agent(team_name="marketing-team", name="ads-metrics", prompt="Pull Meta Ads spend, ROAS, and campaign breakdown")
Agent(team_name="marketing-team", name="analytics-metrics", prompt="Pull GA4 sessions, conversions, and traffic sources")
Agent(team_name="marketing-team", name="seo-metrics", prompt="Pull Search Console clicks, impressions, and top queries")
If the flag is NOT set, use standard fire-and-forget subagents.
Credential Resolution
Resolve credentials in this order for each service:
Klaviyo
KLAVIYO_KEY="${KLAVIYO_PRIVATE_KEY:-$(claude plugin config get klaviyo_private_key 2>/dev/null)}"
if [ -z "$KLAVIYO_KEY" ]; then
KLAVIYO_KEY="$(doppler secrets get KLAVIYO_PRIVATE_KEY --plain 2>/dev/null)"
fi
Meta Ads
META_TOKEN="${META_ADS_TOKEN:-$(claude plugin config get meta_ads_token 2>/dev/null)}"
META_ACCOUNT="${META_AD_ACCOUNT_ID:-$(claude plugin config get meta_ad_account_id 2>/dev/null)}"
if [ -z "$META_TOKEN" ]; then
META_TOKEN="$(doppler secrets get META_ADS_TOKEN --plain 2>/dev/null)"
fi
GA4
GA4_PROPERTY="${GA4_PROPERTY_ID:-$(claude plugin config get ga4_property_id 2>/dev/null)}"
gcloud auth application-default print-access-token 2>/dev/null
Google Search Console
GSC_SITE="${GOOGLE_SEARCH_CONSOLE_SITE:-$(claude plugin config get google_search_console_site 2>/dev/null)}"
Google Ads
GADS_API_VERSION="v23"
GADS_DEV_TOKEN="${GOOGLE_ADS_DEVELOPER_TOKEN:-$(claude plugin config get google_ads_developer_token 2>/dev/null)}"
GADS_CLIENT_ID="${GOOGLE_ADS_CLIENT_ID:-$(claude plugin config get google_ads_client_id 2>/dev/null)}"
GADS_CLIENT_SECRET="${GOOGLE_ADS_CLIENT_SECRET:-$(claude plugin config get google_ads_client_secret 2>/dev/null)}"
GADS_REFRESH_TOKEN="${GOOGLE_ADS_REFRESH_TOKEN:-$(claude plugin config get google_ads_refresh_token 2>/dev/null)}"
GADS_CUSTOMER_ID="${GOOGLE_ADS_CUSTOMER_ID:-$(claude plugin config get google_ads_customer_id 2>/dev/null)}"
GADS_LOGIN_CUSTOMER_ID="${GOOGLE_ADS_LOGIN_CUSTOMER_ID:-$(claude plugin config get google_ads_login_customer_id 2>/dev/null)}"
if [ -z "$GADS_REFRESH_TOKEN" ]; then
GADS_REFRESH_TOKEN="$(doppler secrets get GOOGLE_ADS_REFRESH_TOKEN --plain 2>/dev/null)"
fi
if [ -z "$GADS_DEV_TOKEN" ]; then
GADS_DEV_TOKEN="$(doppler secrets get GOOGLE_ADS_DEVELOPER_TOKEN --plain 2>/dev/null)"
fi
GADS_CUSTOMER_ID="${GADS_CUSTOMER_ID//-/}"
GADS_ACCESS_TOKEN=$(curl -s -X POST https://oauth2.googleapis.com/token \
--data "client_id=${GADS_CLIENT_ID}" \
--data "client_secret=${GADS_CLIENT_SECRET}" \
--data "refresh_token=${GADS_REFRESH_TOKEN}" \
--data | jq -r )
GADS_HEADERS=(-H -H -H )
[ -n ];
GADS_HEADERS+=(-H )
Sub-command Routing
Route $ARGUMENTS to the correct section below:
| Input | Action |
|---|
| (empty), dashboard | Run full marketing dashboard |
| email, klaviyo | Klaviyo email metrics |
| ads, meta | Meta Ads performance (read-only overview) |
| meta-manage, meta create-campaign, meta target, meta creative, meta rules, meta audiences, meta advantage | Meta Ads campaign management (see ## meta-manage section) |
| google-ads, gads | Google Ads dashboard + campaign management (see ## google-ads section) |
| analytics, ga4 | GA4 sessions + conversions |
| ga4 realtime, ga4 funnel, ga4 cohort, ga4 audience, ga4 pivot | GA4 advanced analytics (see ## ga4-advanced section) |
| seo, gsc | Search Console metrics |
| social | Social media aggregator |
| instagram, instagram post, instagram reel, instagram story, instagram insights, instagram demographics | Instagram publishing + insights (see ## instagram section) |
| campaigns | Cross-channel campaign overview (all platforms) |
| optimize | Cross-platform ad optimization agent |
| attribution | Unified attribution table (Meta + Google + Klaviyo + GA4) |
| setup | Configure API keys |
email / klaviyo
Pull Klaviyo metrics for last 30 days.
Subscriber count
curl -s "https://a.klaviyo.com/api/lists/?fields[list]=name,id,profile_count" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, id: .id, count: .attributes.profile_count}'
Recent campaigns (last 10)
curl -s "https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at&page[size]=10&fields[campaign]=name,status,created_at,send_time" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, status: .attributes.status, sent: .attributes.send_time}'
Flow metrics (active flows)
curl -s "https://a.klaviyo.com/api/flows/?filter=equals(status,'live')&fields[flow]=name,status,created,trigger_type" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | {name: .attributes.name, trigger: .attributes.trigger_type}'
Key email metrics (opens, clicks, revenue via metric aggregates)
curl -s "https://a.klaviyo.com/api/metrics/" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" | jq '.data[] | select(.attributes.name | test("Opened Email|Clicked Email|Placed Order")) | {name: .attributes.name, id: .id}'
Output format
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
EMAIL (KLAVIYO) — last 30d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Lists: [list_name] — [N] subscribers
Campaigns: [N sent] | [N drafts]
Active Flows: [N]
RECENT CAMPAIGNS
[name] [status] sent [date]
...
ads / meta
Pull Meta Ads insights for the configured ad account.
Account-level spend (last 7 days)
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/insights?fields=spend,impressions,clicks,ctr,cpc,actions,action_values&date_preset=last_7d&level=account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '{spend: .data[0].spend, impressions: .data[0].impressions, clicks: .data[0].clicks, ctr: .data[0].ctr, cpc: .data[0].cpc}'
Campaign breakdown (last 7 days)
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/campaigns?fields=name,status,daily_budget,lifetime_budget,insights{spend,impressions,clicks,actions,action_values}&date_preset=last_7d" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[] | {name: .name, status: .status, spend: .insights.data[0].spend}'
ROAS calculation
From action_values array: extract action_type == "purchase" value, divide by spend.
Top performing ads (last 7d)
curl -s "https://graph.facebook.com/v18.0/${META_ACCOUNT}/ads?fields=name,adset_id,insights{spend,impressions,clicks,actions,action_values,ctr,cpc}&date_preset=last_7d&limit=10" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data | sort_by(.insights.data[0].spend | tonumber) | reverse | .[0:5] | .[] | {name: .name, spend: .insights.data[0].spend, ctr: .insights.data[0].ctr}'
Output format
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
META ADS — last 7d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Spend: $[X]
ROAS: [X]x
Purchases: [N] ($[X] revenue)
Impressions: [N] CTR: [X]%
CPC: $[X]
CAMPAIGNS
[name] [status] $[spend] [roas]x ROAS
...
TOP ADS (by spend)
[name] $[spend] [ctr]% CTR
meta-manage
Full Meta Ads campaign management. Uses same META_TOKEN and META_ACCOUNT credentials as read-only ads section.
Credential check: If META_TOKEN is empty, print Meta Ads not configured. Run /ops:marketing setup. and stop.
Route $ARGUMENTS within meta-manage:
| Input | Action |
|---|
| create-campaign | Create a new campaign (always PAUSED) |
| target <ADSET_ID> | Configure ad set targeting |
| creative <CAMPAIGN_ID> | Upload image + create ad with copy |
| rules | List / create automation rules |
| audiences | Create custom or lookalike audiences |
| advantage | Create Advantage+ AI-optimized campaign |
create-campaign
Collect via AskUserQuestion (max 4 options each call):
- Campaign objective —
[OUTCOME_TRAFFIC, OUTCOME_SALES, OUTCOME_LEADS, OUTCOME_AWARENESS]
- Daily budget in dollars (free text)
- Campaign name (free text)
Then confirm via AskUserQuestion: "Create Meta campaign '<NAME>' with $<BUDGET>/day budget?" options [Create, Cancel]
BUDGET_CENTS=$(awk "BEGIN {printf \"%d\", ${BUDGET_DOLLARS} * 100}")
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "name=${CAMPAIGN_NAME}" \
-F "objective=${OBJECTIVE}" \
-F "status=PAUSED" \
-F "special_ad_categories=[]" \
-F "daily_budget=${BUDGET_CENTS}" | jq '{id: .id, error: .error.message}'
Print: Campaign "${CAMPAIGN_NAME}" created (ID: <ID>, status: PAUSED, budget: $<BUDGET>/day). Enable via Meta Ads Manager or add ad sets first.
If error, print the error message.
target <ADSET_ID>
Configure targeting for an existing ad set. Collect via AskUserQuestion:
- Target countries (comma-separated ISO codes, e.g.
US,CA,GB) — free text
- Age range:
[18-34, 25-54, 35-65, 18-65]
- Gender:
[All, Men only, Women only, Skip]
GEO_JSON=$(echo "$COUNTRIES" | tr ',' '\n' | jq -Rc '.' | jq -sc '{"countries": .}')
TARGETING_JSON=$(jq -n \
--argjson geo "$GEO_JSON" \
--arg age_min "$AGE_MIN" \
--arg age_max "$AGE_MAX" \
'{
geo_locations: $geo,
age_min: ($age_min | tonumber),
age_max: ($age_max | tonumber)
}')
if [ "$GENDER" = "Men only" ]; then
TARGETING_JSON=$(echo "$TARGETING_JSON" | jq '. + {"genders": [1]}')
elif [ "$GENDER" = "Women only" ]; then
TARGETING_JSON=$(echo "$TARGETING_JSON" | jq '. + {"genders": [2]}')
fi
curl -s -X POST "https://graph.facebook.com/v20.0/${ADSET_ID}" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "targeting=${TARGETING_JSON}" | jq '{success: .success, error: .error.message}'
Print: Ad set ${ADSET_ID} targeting updated: ${COUNTRIES}, ages ${AGE_MIN}-${AGE_MAX}${GENDER_LABEL}.
creative <CAMPAIGN_ID>
Upload an image and create an ad. Collect via AskUserQuestion:
- Image file path or URL (free text)
- Ad set ID to attach the ad to (free text)
- Primary text (ad copy, free text — up to 125 characters recommended)
Then collect headline (free text, up to 40 characters) via a second AskUserQuestion.
if [[ "$IMAGE_INPUT" == http* ]]; then
UPLOAD_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adimages" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "url=${IMAGE_INPUT}")
else
UPLOAD_RESP=$(curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adimages" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "filename=@${IMAGE_INPUT}")
fi
IMAGE_HASH=$(echo "$UPLOAD_RESP" | jq -r '.images | to_entries[0].value.hash // empty')
if [ -z "$IMAGE_HASH" ]; then
echo "Image upload failed: $(echo "$UPLOAD_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
META_PAGE_ID="${META_PAGE_ID:-$(claude plugin config get meta_page_id 2>/dev/null || echo "")}"
if [ -z "$META_PAGE_ID" ];
0
CREATIVE_RESP=$(curl -s -X POST \
-H \
-F \
-F )
CREATIVE_ID=$( | jq -r )
[ -z ];
0
curl -s -X POST \
-H \
-F \
-F \
-F \
-F | jq
Print: Ad created (ID: <ID>, creative: <CREATIVE_ID>, status: PAUSED). Enable via Meta Ads Manager when ready.
rules
List existing rules or create a new automation rule.
List rules:
curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library?fields=name,status,evaluation_spec,execution_spec" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[] | {id: .id, name: .name, status: .status}'
Create rule (prompt via AskUserQuestion):
- Rule type:
[Pause low performers, Scale winners, Increase budget, Decrease budget]
For "Pause low performers":
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Pause high CPA ads",
"schedule_spec": {"schedule_type": "SEMI_HOURLY"},
"evaluation_spec": {
"evaluation_type": "SCHEDULE",
"filters": [
{"field": "cost_per_result", "value": [50], "operator": "GREATER_THAN"},
{"field": "spent", "value": [20], "operator": "GREATER_THAN"},
{"field": "entity_type", "value": ["AD"], "operator": "EQUAL"},
{"field": "time_preset", "value": ["LAST_7_DAYS"], "operator": "EQUAL"}
]
},
"execution_spec": {
"execution_type": "PAUSE"
},
"status": "ENABLED"
}' | jq '{id: .id, error: .error.message}'
For "Scale winners":
⚠️ Scope this to prospecting ad sets. A bare purchase_roas > 3 filter auto-scales retargeting ad sets too — whose ROAS is inflated by warm-audience demand capture (conversions that would have happened anyway), not incremental growth. Blanket-scaling them pours budget into demand you already own while starving prospecting, and the funnel contracts a month later. Add an ad-set-name/audience filter that excludes retargeting/remarketing (or restrict the rule to your prospecting ad sets), and confirm a winner's lift with a holdout before scaling on ROAS alone.
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/adrules_library" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Scale winning ad sets",
"schedule_spec": {"schedule_type": "DAILY"},
"evaluation_spec": {
"evaluation_type": "SCHEDULE",
"filters": [
{"field": "purchase_roas", "value": [3], "operator": "GREATER_THAN"},
{"field": "entity_type", "value": ["ADSET"], "operator": "EQUAL"},
{"field": "time_preset", "value": ["LAST_7_DAYS"], "operator": "EQUAL"}
]
},
"execution_spec": {
"execution_type": "INCREASE_BUDGET",
"execution_options": [{"field": "budget_value", "value": "20", "operator": "PERCENTAGE"}]
},
"status": "ENABLED"
}' | jq '{id: .id, error: .error.message}'
Print: Rule created (ID: <ID>). Runs semi-hourly and will auto-pause ads with CPA > $50.
audiences
Create Custom Audience or Lookalike Audience.
Prompt via AskUserQuestion:
- Audience type:
[Custom — website, Custom — customer list, Lookalike, Skip]
Custom — website (Pixel-based):
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/customaudiences" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"name": "Website visitors — last 30 days",
"subtype": "WEBSITE",
"retention_days": 30,
"rule": {"inclusions": {"operator": "or", "rules": [{"event_sources": [{"id": "<PIXEL_ID>", "type": "pixel"}], "retention_seconds": 2592000, "filter": {"operator": "and", "filters": [{"field": "event", "operator": "eq", "value": "PageView"}]}}]}}
}' | jq '{id: .id, name: .name, error: .error.message}'
Note: Replace <PIXEL_ID> with actual pixel ID from Meta Events Manager.
Lookalike Audience (requires origin audience with min 100 matched profiles):
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/customaudiences" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"name\": \"Lookalike — ${ORIGIN_AUDIENCE_NAME} 1%\",
\"subtype\": \"LOOKALIKE\",
\"origin_audience_id\": \"${ORIGIN_AUDIENCE_ID}\",
\"lookalike_spec\": {
\"country\": \"US\",
\"ratio\": 0.01,
\"type\": \"similarity\"
}
}" | jq '{id: .id, name: .name, error: .error.message}'
Print: Lookalike audience created (ID: <ID>). Typically takes 1-6 hours to populate.
advantage
Create an Advantage+ Shopping Campaign (AI-optimized).
Collect via AskUserQuestion:
- Daily budget in dollars (free text)
- Campaign name (free text)
Then confirm: "Create Advantage+ campaign '<NAME>' with $<BUDGET>/day?" options [Create, Cancel]
BUDGET_CENTS=$(awk "BEGIN {printf \"%d\", ${BUDGET_DOLLARS} * 100}")
curl -s -X POST "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns" \
-H "Authorization: Bearer ${META_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"name\": \"${CAMPAIGN_NAME}\",
\"objective\": \"OUTCOME_SALES\",
\"status\": \"PAUSED\",
\"special_ad_categories\": [],
\"daily_budget\": ${BUDGET_CENTS},
\"smart_promotion_type\": \"AUTOMATED_SHOPPING_ADS\"
}" | jq '{id: .id, error: .error.message}'
Print: Advantage+ campaign "${CAMPAIGN_NAME}" created (ID: <ID>, status: PAUSED). Meta AI will optimize targeting and creative delivery once enabled.
analytics / ga4
Pull GA4 data via the Data API using gcloud ADC.
Get access token
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
Sessions + conversions (last 7d)
curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"metrics": [
{"name": "sessions"},
{"name": "totalUsers"},
{"name": "conversions"},
{"name": "totalRevenue"},
{"name": "bounceRate"},
{"name": "averageSessionDuration"}
]
}' | jq '.rows[0].metricValues | {sessions: .[0].value, users: .[1].value, conversions: .[2].value, revenue: .[3].value, bounce_rate: .[4].value}'
Traffic sources (last 7d)
curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"dimensions": [{"name": "sessionDefaultChannelGrouping"}],
"metrics": [{"name": "sessions"}, {"name": "conversions"}],
"orderBys": [{"metric": {"metricName": "sessions"}, "desc": true}],
"limit": 8
}' | jq '.rows[] | {channel: .dimensionValues[0].value, sessions: .metricValues[0].value, conversions: .metricValues[1].value}'
Top pages (last 7d)
curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
"dimensions": [{"name": "pagePath"}],
"metrics": [{"name": "screenPageViews"}, {"name": "averageSessionDuration"}],
"orderBys": [{"metric": {"metricName": "screenPageViews"}, "desc": true}],
"limit": 10
}' | jq '.rows[] | {page: .dimensionValues[0].value, views: .metricValues[0].value}'
If GA4_TOKEN is empty or gcloud not available, output: GA4 not configured — run /ops:marketing setup or configure gcloud ADC.
Output format
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ANALYTICS (GA4) — last 7d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Sessions: [N] Users: [N]
Conversions: [N] CVR: [X]%
Revenue: $[X]
Bounce Rate: [X]% Avg Session: [Xm Xs]
TRAFFIC SOURCES
[channel] [N sessions] [N conversions]
...
TOP PAGES
[path] [N views]
ga4-advanced
Advanced GA4 analytics: realtime, funnel, cohort, audience export, and pivot reports.
Credential check: If GA4_TOKEN is empty or GA4_PROPERTY is missing, print GA4 not configured — run /ops:marketing setup or configure gcloud ADC and stop.
Route $ARGUMENTS within ga4-advanced (matches ga4 <sub> pattern):
| Input | Action |
|---|
| realtime | Active users right now (last 30 min) |
| funnel | Conversion funnel with step visualization |
| cohort | Cohort retention analysis by device |
| audience | Async audience segment export |
| pivot | Multi-dimensional pivot report |
realtime
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runRealtimeReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"minuteRanges": [{"startMinutesAgo": 29, "endMinutesAgo": 0}],
"dimensions": [
{"name": "unifiedScreenName"},
{"name": "deviceCategory"}
],
"metrics": [{"name": "activeUsers"}],
"orderBys": [{"metric": {"metricName": "activeUsers"}, "desc": true}],
"limit": 10
}')
TOTAL=$(echo "$RESULT" | jq '[.rows[]?.metricValues[0].value | tonumber] | add // 0')
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 REALTIME — Last 30 Minutes"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "Active Users Right Now: ${TOTAL}"
echo ""
echo "Top Pages:"
printf "| %-40s | %-8s | %-7s |\n" "Page" "Device" "Users"
printf "|%s|%s|%s|\n" "------------------------------------------" "----------" "---------"
echo "$RESULT" | jq -r '.rows[]? | [.dimensionValues[0].value, .dimensionValues[1].value, .metricValues[0].value] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r page device ;
funnel
Ask user for funnel steps via AskUserQuestion (free text). Default template uses session_start → page_view → purchase.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
IS_OPEN=$([ "$FUNNEL_MODE" = "Open funnel" ] && echo "true" || echo "false")
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1alpha/properties/${GA4_PROPERTY}:runFunnelReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"dateRanges\": [{\"startDate\": \"30daysAgo\", \"endDate\": \"today\"}],
\"funnel\": {
\"isOpenFunnel\": ${IS_OPEN},
\"steps\": [
{
\"name\": \"Session Start\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"session_start\"}}
},
{
\"name\": \"Page View\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"page_view\"}}
},
{
\"name\": \"Purchase\",
\"filterExpression\": {\"funnelEventFilter\": {\"eventName\": \"purchase\"}}
}
]
},
\"funnelBreakdown\": {
\"breakdownDimension\": {\"name\": \"deviceCategory\"},
\"limit\": 4
}
}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 FUNNEL — Last 30 Days (${FUNNEL_MODE})"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "$RESULT" | jq -r '
.funnelTable.rows[]? |
"Step: \(.dimensionValues[0].value) Users: \(.metricValues[0].value) Completion: \(.metricValues[1].value)% Abandoned: \(.metricValues[2].value)"
' 2>/dev/null || echo "No funnel data — ensure purchase events are firing in GA4."
cohort
Weekly cohort retention for users acquired in the past month, broken down by device.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
START_DATE=$(date -v-30d +%Y-%m-%d 2>/dev/null || date -d '30 days ago' +%Y-%m-%d)
END_DATE=$(date +%Y-%m-%d)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"dimensions\": [
{\"name\": \"cohort\"},
{\"name\": \"cohortNthWeek\"},
{\"name\": \"deviceCategory\"}
],
\"metrics\": [
{\"name\": \"cohortActiveUsers\"},
{\"name\": \"cohortRetentionFraction\"}
],
\"cohortSpec\": {
\"cohorts\": [{
\"dimension\": \"firstSessionDate\",
\"dateRange\": {\"startDate\": \"${START_DATE}\", \"endDate\": \"${END_DATE}\"}
}],
\"cohortsRange\": {
\"granularity\": \"WEEKLY\",
\"startOffset\": 0,
\"endOffset\": 5
}
}
}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 COHORT RETENTION — Last 30 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-12s | %-6s | %-8s | %-10s | %-10s |\n" "Cohort" "Week" "Device" "Users" "Retention%"
printf "|%s|%s|%s|%s|%s|\n" "--------------" "--------" "----------" "------------" "------------"
echo "$RESULT" | jq -r '.rows[]? | [
.dimensionValues[0].value,
.dimensionValues[1].value,
.dimensionValues[2].value,
.metricValues[0].value,
(.metricValues[1].value | tonumber * 100 | tostring | split(".")[0])
] | @tsv' 2>/dev/null | \
IFS=$ -r cohort week device retention;
audience
Async audience export: create → poll until ACTIVE → show user count.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
AUDIENCES=$(curl -s "https://analyticsadmin.googleapis.com/v1alpha/properties/${GA4_PROPERTY}/audiences" \
-H "Authorization: Bearer ${GA4_TOKEN}")
echo "Available audiences:"
echo "$AUDIENCES" | jq -r '.audiences[]? | "\(.name | split("/") | last): \(.displayName)"' 2>/dev/null
EXPORT_RESP=$(curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}/audienceExports" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d "{
\"audience\": \"properties/${GA4_PROPERTY}/audiences/${AUDIENCE_ID}\",
\"dimensions\": [
{\"dimensionName\": \"deviceId\"},
{\"dimensionName\": \"isAdsPersonalizationAllowed\"}
]
}")
EXPORT_NAME=$(echo "$EXPORT_RESP" | jq -r '.name // empty')
if [ -z "$EXPORT_NAME" ]; then
echo "Failed to create export: $(echo "$EXPORT_RESP" | jq -r '.error.message // "unknown error"')"
exit 0
fi
echo "Export created: ${EXPORT_NAME}"
echo "Polling for completion (small audiences: ~30s, large: up to 15 min)..."
ATTEMPTS=0
[ -lt 60 ];
STATUS_RESP=$(curl -s \
-H )
STATE=$( | jq -r )
PCT=$( | jq -r )
[ = ]; ;
[ = ];
0
10
ATTEMPTS=$((ATTEMPTS + ))
QUERY_RESP=$(curl -s -X POST \
\
-H )
ROW_COUNT=$( | jq )
pivot
Multi-dimensional pivot: channel group × device category × conversions.
GA4_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
RESULT=$(curl -s -X POST "https://analyticsdata.googleapis.com/v1beta/properties/${GA4_PROPERTY}:runPivotReport" \
-H "Authorization: Bearer ${GA4_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "sessionDefaultChannelGrouping"},
{"name": "deviceCategory"}
],
"metrics": [
{"name": "sessions"},
{"name": "conversions"},
{"name": "totalRevenue"}
],
"pivots": [
{
"fieldNames": ["sessionDefaultChannelGrouping"],
"limit": 6
},
{
"fieldNames": ["deviceCategory"],
"limit": 3
}
]
}')
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " GA4 PIVOT — Channel × Device (Last 30 Days)"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
printf "| %-20s | %-8s | %-10s | %-11s | %-10s |\n" "Channel" "Device" "Sessions" "Conversions" "Revenue"
printf "|%s|%s|%s|%s|%s|\n" "----------------------" "----------" "------------" "-------------" "------------"
echo "$RESULT" | jq -r '.rows[]? | [
.dimensionValues[0].value,
.dimensionValues[1].value,
.metricValues[0].value,
.metricValues[1].value,
(.metricValues[2].value | tonumber | . * 100 | round / 100 | tostring)
] | @tsv' 2>/dev/null | \
while IFS=$'\t' read -r channel device sessions convs revenue; do
seo / gsc
Pull Google Search Console data.
Get access token (same gcloud ADC)
GSC_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
GSC_SITE_ENCODED=$(python3 -c "import urllib.parse; print(urllib.parse.quote('${GSC_SITE}', safe=''))" 2>/dev/null || echo "${GSC_SITE}" | sed 's|:|%3A|g; s|/|%2F|g')
Search performance (last 28 days)
curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": [],
"rowLimit": 1
}' | jq '{clicks: .rows[0].clicks, impressions: .rows[0].impressions, ctr: .rows[0].ctr, position: .rows[0].position}'
Top queries (last 28 days)
curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": ["query"],
"rowLimit": 20,
"dimensionFilterGroups": []
}' | jq '.rows[] | {query: .keys[0], clicks: .clicks, impressions: .impressions, position: (.position | floor)}'
Top pages by clicks
curl -s -X POST "https://searchconsole.googleapis.com/webmasters/v3/sites/${GSC_SITE_ENCODED}/searchAnalytics/query" \
-H "Authorization: Bearer ${GSC_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"startDate": "'$(date -v-28d +%Y-%m-%d 2>/dev/null || date -d '28 days ago' +%Y-%m-%d)'",
"endDate": "'$(date +%Y-%m-%d)'",
"dimensions": ["page"],
"rowLimit": 10
}' | jq '.rows[] | {page: .keys[0], clicks: .clicks, impressions: .impressions, position: (.position | floor)}'
If GSC not configured, output: Search Console not configured — run /ops:marketing setup.
Output format
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SEO (SEARCH CONSOLE) — last 28d
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Clicks: [N]
Impressions: [N]
CTR: [X]%
Avg Position: [X]
TOP QUERIES
[query] [clicks] clicks pos [N]
...
TOP PAGES
[url] [clicks] clicks [impressions] impr
social
Aggregate available social media metrics. Check which are configured.
Instagram (via Meta Graph API — same token as Meta Ads)
curl -s "https://graph.facebook.com/v18.0/me/accounts?fields=instagram_business_account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '.data[].instagram_business_account.id' 2>/dev/null
curl -s "https://graph.facebook.com/v18.0/${IG_ACCOUNT_ID}?fields=followers_count,media_count,profile_views" \
-H "Authorization: Bearer ${META_TOKEN}" | jq '{followers: .followers_count, posts: .media_count, profile_views: .profile_views}'
YouTube (if configured via gcloud)
YT_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
curl -s "https://www.googleapis.com/youtube/v3/channels?part=statistics&mine=true" \
-H "Authorization: Bearer ${YT_TOKEN}" | jq '.items[0].statistics | {subscribers: .subscriberCount, views: .viewCount, videos: .videoCount}'
Show [not configured] for any unconfigured channels rather than failing.
Output format
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SOCIAL MEDIA
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Instagram: [N followers] [N posts] [N profile views]
YouTube: [N subscribers] [N total views]
TikTok: [not configured] — set TIKTOK_ACCESS_TOKEN
instagram
Instagram publishing and insights via Instagram Graph API (same META_TOKEN as Meta Ads).
Prerequisites:
META_TOKEN configured (same as Meta Ads)- Instagram Business account linked to a Facebook Page
IG_ACCOUNT_ID resolved via: curl "https://graph.facebook.com/v21.0/me/accounts?fields=instagram_business_account" -H "Authorization: Bearer ${META_TOKEN}" → data[0].instagram_business_account.id
Rate limit: 200 API calls/hour per app. Demographics require 48h reporting delay. Media insights require account with >1,000 followers.
Resolve IG account ID at the start of every instagram invocation:
IG_ACCOUNT_ID=$(claude plugin config get instagram_account_id 2>/dev/null)
if [ -z "$IG_ACCOUNT_ID" ]; then
IG_ACCOUNT_ID=$(curl -s "https://graph.facebook.com/v21.0/me/accounts?fields=instagram_business_account" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.data[0].instagram_business_account.id // empty')
[ -n "$IG_ACCOUNT_ID" ] && claude plugin config set instagram_account_id "$IG_ACCOUNT_ID" 2>/dev/null
fi
if [ -z "$IG_ACCOUNT_ID" ]; then
echo "Instagram Business account not linked to your Meta token. Ensure your Facebook Page has an Instagram Business account connected."
exit 0
fi
Route $ARGUMENTS within instagram:
| Input | Action |
|---|
| post <IMAGE_URL> | Publish image post to feed |
| reel <VIDEO_URL> | Publish a Reel |
| story <IMAGE_URL|VIDEO_URL> | Publish a Story |
| insights <MEDIA_ID> | Per-post metrics |
| account-insights [days] | Account-level reach + impressions |
| demographics | Audience age/gender/location |
post
Publish an image post (two-step: create container → publish).
Collect via AskUserQuestion:
- Image URL (publicly accessible HTTPS URL) — free text
- Caption — free text
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "image_url=${IMAGE_URL}" \
-F "caption=${CAPTION}" \
-F "media_type=IMAGE")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create media container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo "Post published (Media ID: ${MEDIA_ID}). View at https://www.instagram.com/ — may take 1-2 min to appear."
else
echo "Publish failed: $(echo "" | jq -r '.error.message // ')"
reel
Publish a Reel. Video must be an HTTPS URL (MP4, H.264, max 15 min, min 500px width).
Collect via AskUserQuestion:
- Video URL (HTTPS) — free text
- Caption — free text
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "media_type=REELS" \
-F "video_url=${VIDEO_URL}" \
-F "caption=${CAPTION}" \
-F "share_to_feed=true")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create Reel container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
echo "Reel uploading... polling for ready status."
ATTEMPTS=0
while [ $ATTEMPTS -lt 30 ]; do
STATUS=$(curl -s "https://graph.facebook.com/v21.0/${CONTAINER_ID}?fields=status_code" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.status_code // "UNKNOWN"')
[ "$STATUS" = "FINISHED" ] && break
[ "$STATUS" = "ERROR" ] && echo "Reel processing failed." && exit 0
10
ATTEMPTS=$((ATTEMPTS + ))
PUBLISH=$(curl -s -X POST \
-H \
-F )
MEDIA_ID=$( | jq -r )
[ -n ];
story
Publish a Story (image or video, 24h expiry).
Collect via AskUserQuestion:
- Content URL (HTTPS image or video) — free text
- Content type:
[Image story, Video story]
if [ "$CONTENT_TYPE" = "Video story" ]; then
MEDIA_TYPE="VIDEO"
URL_FIELD="video_url"
else
MEDIA_TYPE="IMAGE"
URL_FIELD="image_url"
fi
CONTAINER=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "media_type=STORIES" \
-F "${URL_FIELD}=${CONTENT_URL}")
CONTAINER_ID=$(echo "$CONTAINER" | jq -r '.id // empty')
if [ -z "$CONTAINER_ID" ]; then
echo "Failed to create Story container: $(echo "$CONTAINER" | jq -r '.error.message // "unknown error"')"
exit 0
fi
PUBLISH=$(curl -s -X POST "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/media_publish" \
-H "Authorization: Bearer ${META_TOKEN}" \
-F "creation_id=${CONTAINER_ID}")
MEDIA_ID=$(echo "$PUBLISH" | jq -r '.id // empty')
if [ -n "$MEDIA_ID" ]; then
echo
insights <MEDIA_ID>
Per-post metrics. Note: reach, saves, shares deprecated for non-Reels video; plays only for Reels/video.
METRICS="reach,saved,shares,comments_count,like_count,impressions"
MEDIA_TYPE=$(curl -s "https://graph.facebook.com/v21.0/${MEDIA_ID}?fields=media_type" \
-H "Authorization: Bearer ${META_TOKEN}" | jq -r '.media_type // "IMAGE"')
[ "$MEDIA_TYPE" = "VIDEO" ] || [ "$MEDIA_TYPE" = "REEL" ] && METRICS="${METRICS},plays"
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${MEDIA_ID}/insights?metric=${METRICS}&period=lifetime" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM POST INSIGHTS — ${MEDIA_ID}"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo ""
echo "$RESULT" | jq -r '.data[]? | " \(.name): \(.values[0].value)"' 2>/dev/null || \
echo "No insights data — account must have >1,000 followers for insights access."
account-insights [days]
Account-level reach and impressions. Default: last 7 days.
DAYS="${DAYS:-7}"
END_DATE=$(date +%Y-%m-%d)
START_DATE=$(date -v-${DAYS}d +%Y-%m-%d 2>/dev/null || date -d "${DAYS} days ago" +%Y-%m-%d)
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/insights?metric=reach,impressions,profile_views&period=day&since=${START_DATE}&until=${END_DATE}" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM ACCOUNT INSIGHTS — Last ${DAYS} Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Note: Data reflects 24-48h reporting delay"
echo ""
REACH=$(echo "$RESULT" | jq '[.data[]? | select(.name == "reach") | .values[]?.value | tonumber] | add // 0')
IMPRESSIONS=$(echo "$RESULT" | jq '[.data[]? | select(.name == "impressions") | .values[]?.value | tonumber] | add // 0')
PROFILE_VIEWS=$(echo "$RESULT" | jq '[.data[]? | select(.name == "profile_views") | .values[]?.value | tonumber] | add // 0')
echo " Reach: ${REACH}"
echo " Impressions: ${IMPRESSIONS}"
echo " Profile Views: "
demographics
Audience breakdown by age/gender and top locations. Requires lifetime period (48h delay).
RESULT=$(curl -s "https://graph.facebook.com/v21.0/${IG_ACCOUNT_ID}/insights?metric=audience_gender_age,audience_city,audience_country&period=lifetime" \
-H "Authorization: Bearer ${META_TOKEN}")
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " INSTAGRAM DEMOGRAPHICS"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Note: Top 45 segments shown. Data has 48h delay."
echo ""
echo "AGE / GENDER BREAKDOWN:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_gender_age") | .values[0].value | to_entries[] | " \(.key): \(.value)%"' 2>/dev/null | head -20
echo ""
echo "TOP CITIES:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_city") | .values[0].value | to_entries | sort_by(-.value) | .[0:10][] | " \(.key): \(.value)%"' 2>/dev/null
echo ""
echo "TOP COUNTRIES:"
echo "$RESULT" | jq -r '.data[]? | select(.name == "audience_country") | .values[0].value | to_entries | sort_by(-.value) | .[0:10][] | " \(.key): \(.value)%"' 2>/dev/null
google-ads
Credential check: If GADS_DEV_TOKEN or GADS_REFRESH_TOKEN is empty after resolution, print:
Warning: Google Ads not configured. Run /ops:setup marketing to set up credentials.
and stop.
Token refresh: Run the access token refresh curl (from Credential Resolution above) at the start of every google-ads invocation. If GADS_ACCESS_TOKEN is null or "null", print:
Warning: Google Ads token refresh failed. Check client_id/client_secret/refresh_token in /ops:setup.
and stop.
Route $ARGUMENTS within the google-ads section:
| Input | Action |
|---|
| (empty), dashboard, overview | Campaign performance dashboard (last 7 days) |
| search-terms, terms | Search Terms Report with negative keyword candidates (last 30 days) |
| budget-recs, recommendations, recs | Budget optimization recommendations from Google |
| campaigns, manage | Campaign management — list, create, pause, enable, adjust budget |
| keywords, kw, keyword-planner | Keyword Planner — discover keywords with volume and bid data |
| ad-groups, ag | Ad group management — list, create, add/remove keywords, adjust bids |
Dashboard (default — no args, dashboard, overview)
CAMPAIGNS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT campaign.id, campaign.name, campaign.status, campaign_budget.amount_micros, metrics.cost_micros, metrics.impressions, metrics.clicks, metrics.conversions, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_7_DAYS AND campaign.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 20"
}')
GADS_ERROR=$(echo "$CAMPAIGNS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_ERROR" ]; then
echo "Google Ads API error: ${GADS_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
CAMPAIGN_COUNT=$(echo "$CAMPAIGNS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$CAMPAIGN_COUNT" -eq 0 ]; then
echo "No active campaigns found in the last 7 days."
exit 0
fi
TOTAL_SPEND=$(echo "$CAMPAIGNS" | jq '[.[].results[]?.metrics.costMicros // "0" | tonumber] | add / 1000000' 2>/dev/null)
TOTAL_CONVERSIONS=$( | jq 2>/dev/null)
TOTAL_VALUE=$( | jq 2>/dev/null)
OVERALL_ROAS=$(awk )
TOTAL_SPEND_FMT=$(awk )
\
\
| jq -r 2>/dev/null | IFS=$ -r name status budget_raw spend_raw impr_raw clicks_raw conv_raw value_raw cost_raw;
BUDGET=$(awk )
SPEND=$(awk )
CTR=$(awk )
ROAS=$(awk )
\
Search Terms (search-terms, terms)
SEARCH_TERMS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT search_term_view.search_term, search_term_view.status, campaign.name, ad_group.name, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS AND metrics.impressions > 0 ORDER BY metrics.impressions DESC LIMIT 100"
}')
GADS_ST_ERROR=$(echo "$SEARCH_TERMS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_ST_ERROR" ]; then
echo "Google Ads API error: ${GADS_ST_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
TERM_COUNT=$(echo "$SEARCH_TERMS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$TERM_COUNT" -eq 0 ]; then
echo "No search term data found for the last 30 days."
exit 0
fi
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " SEARCH TERMS REPORT — Last 30 Days"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo
\
\
| jq -r 2>/dev/null | IFS=$ -r term status campaign adgroup impr clicks cost_raw conv;
ADDED) STATUS_LABEL= ;;
EXCLUDED) STATUS_LABEL= ;;
*) STATUS_LABEL= ;;
COST=$(awk )
\
| jq -r 2>/dev/null ||
Budget Recommendations (budget-recs, recommendations, recs)
RECS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT recommendation.resource_name, recommendation.type, recommendation.campaign, recommendation.impact, recommendation.campaign_budget_recommendation FROM recommendation WHERE recommendation.type IN (CAMPAIGN_BUDGET, MOVE_UNUSED_BUDGET, MARGINAL_ROI_CAMPAIGN_BUDGET, FORECASTING_CAMPAIGN_BUDGET)"
}')
GADS_REC_ERROR=$(echo "$RECS" | jq -r '.[0].error.message // empty' 2>/dev/null)
if [ -n "$GADS_REC_ERROR" ]; then
echo "Google Ads API error: ${GADS_REC_ERROR}"
echo "Check credentials with /ops:marketing setup."
exit 0
fi
REC_COUNT=$(echo "$RECS" | jq '[.[].results[]?] | length' 2>/dev/null || echo "0")
if [ "$REC_COUNT" -eq 0 ]; then
echo "No budget recommendations available. Google needs campaign data to generate recommendations."
exit 0
fi
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " BUDGET RECOMMENDATIONS"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo
\
\
| jq -r 2>/dev/null | IFS=$ -r rec_type campaign current_raw recommended_raw base_impr_raw pot_impr_raw;
CAMPAIGN_BUDGET) TYPE_LABEL= ;;
MOVE_UNUSED_BUDGET) TYPE_LABEL= ;;
MARGINAL_ROI_CAMPAIGN_BUDGET) TYPE_LABEL= ;;
FORECASTING_CAMPAIGN_BUDGET) TYPE_LABEL= ;;
*) TYPE_LABEL= ;;
CURRENT=$(awk )
RECOMMENDED=$(awk )
IMPACT=$(awk )
\
Campaign Management (campaigns, manage)
List campaigns:
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{
"query": "SELECT campaign.id, campaign.name, campaign.status, campaign.advertising_channel_type, campaign_budget.amount_micros FROM campaign WHERE campaign.status != REMOVED ORDER BY campaign.name LIMIT 50"
}'
Output as table:
| # | Campaign ID | Name | Status | Channel | Budget/day |
Create campaign (campaigns create):
Collect from user via AskUserQuestion (free text, one at a time):
- Campaign name
- Daily budget in dollars (convert to micros:
BUDGET_MICROS=$(awk "BEGIN {printf \"%d\", $DOLLARS * 1000000}"))
- Channel type — AskUserQuestion with options:
[Search, Display, Shopping, Video]
Map to API values: SEARCH, DISPLAY, SHOPPING, VIDEO
Two-step mutate:
Step 1 — Create budget:
BUDGET_RESP=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaignBudgets:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"name\": \"Budget for ${CAMPAIGN_NAME}\",
\"deliveryMethod\": \"STANDARD\",
\"amountMicros\": \"${BUDGET_MICROS}\"
}
}]
}")
BUDGET_RESOURCE=$(echo "$BUDGET_RESP" | jq -r '.results[0].resourceName')
Step 2 — Create campaign (always in PAUSED status for safety):
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaigns:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"name\": \"${CAMPAIGN_NAME}\",
\"campaignBudget\": \"${BUDGET_RESOURCE}\",
\"advertisingChannelType\": \"${CHANNEL_TYPE}\",
\"status\": \"PAUSED\",
\"manualCpc\": {},
\"networkSettings\": {
\"targetGoogleSearch\": true,
\"targetSearchNetwork\": true,
\"targetContentNetwork\": false
}
}
}]
}"
Print: ✓ Campaign "${CAMPAIGN_NAME}" created (status: PAUSED, budget: $XX.XX/day). Enable it with: /ops:marketing google-ads campaigns enable <ID>
If error, parse error.message from response and display.
Pause campaign (campaigns pause <ID>):
⚠ Rule 5 — confirm before pausing via AskUserQuestion: "Pause campaign <NAME> (ID: <ID>)?" with options [Pause, Cancel].
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaigns:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"customers/${GADS_CUSTOMER_ID}/campaigns/${CAMPAIGN_ID}\",
\"status\": \"PAUSED\"
},
\"updateMask\": \"status\"
}]
}"
Print: ✓ Campaign <NAME> paused.
Enable campaign (campaigns enable <ID>):
Same as pause but "status": "ENABLED". No confirmation needed (enabling is not destructive).
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaigns:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"customers/${GADS_CUSTOMER_ID}/campaigns/${CAMPAIGN_ID}\",
\"status\": \"ENABLED\"
},
\"updateMask\": \"status\"
}]
}"
Print: ✓ Campaign <NAME> enabled.
Adjust budget (campaigns budget <ID> <AMOUNT>):
First, fetch the campaign's current budget resource name:
CAMPAIGN_DATA=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary "{\"query\": \"SELECT campaign.campaign_budget, campaign_budget.amount_micros FROM campaign WHERE campaign.id = ${CAMPAIGN_ID}\"}")
BUDGET_RESOURCE=$(echo "$CAMPAIGN_DATA" | jq -r '.[0].results[0].campaign.campaignBudget // empty')
CURRENT_BUDGET_MICROS=$(echo "$CAMPAIGN_DATA" | jq -r '.[0].results[0].campaignBudget.amountMicros // "0"')
CURRENT_BUDGET=$(awk "BEGIN { printf \"%.2f\", ${CURRENT_BUDGET_MICROS:-0} / 1000000 }")
Confirm via AskUserQuestion: "Change budget from $<CURRENT> to $<NEW>/day?" with options [Confirm, Cancel].
Then update:
NEW_BUDGET_MICROS=$(awk "BEGIN {printf \"%d\", ${NEW_AMOUNT} * 1000000}")
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/campaignBudgets:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"${BUDGET_RESOURCE}\",
\"amountMicros\": \"${NEW_BUDGET_MICROS}\"
},
\"updateMask\": \"amountMicros\"
}]
}"
Print: ✓ Budget updated: $<OLD>/day → $<NEW>/day
Keyword Planner (keywords, kw, keyword-planner)
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}:generateKeywordIdeas" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"language\": \"languageConstants/1000\",
\"geoTargetConstants\": [\"geoTargetConstants/2840\"],
\"includeAdultKeywords\": false,
\"keywordPlanNetwork\": \"GOOGLE_SEARCH\",
\"keywordSeed\": {
\"keywords\": [${KEYWORDS_JSON_ARRAY}]
}
}"
Language 1000 = English, Geo 2840 = United States. These are defaults — if user has locale configured in preferences, use those instead. Other common values: UK=2826, Canada=2124, Australia=2036.
Output format:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
KEYWORD IDEAS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Seeds: keyword1, keyword2
| Keyword | Avg Monthly Searches | Competition | Low Bid | High Bid |
|---------|---------------------|-------------|---------|----------|
avgMonthlySearches displayed as-is (integer)competition displayed as-is (LOW, MEDIUM, HIGH)lowTopOfPageBidMicros and highTopOfPageBidMicros divided by 1,000,000 and displayed as $X.XX- Sort by
avgMonthlySearches descending in the output
If no results, print: No keyword ideas found for these seeds. Try different or broader keywords.
Ad Group Management (ad-groups, ag)
List ad groups for a campaign (ad-groups list <CAMPAIGN_ID>):
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary "{\"query\": \"SELECT ad_group.id, ad_group.name, ad_group.status, ad_group.cpc_bid_micros FROM ad_group WHERE campaign.id = ${CAMPAIGN_ID} AND ad_group.status != REMOVED ORDER BY ad_group.name\"}"
Output:
| # | Ad Group ID | Name | Status | CPC Bid |
Create ad group (ad-groups create <CAMPAIGN_ID>):
Collect via AskUserQuestion:
- Ad group name (free text)
- Default CPC bid in dollars (free text, convert to micros)
BID_MICROS=$(awk "BEGIN {printf \"%d\", ${BID_DOLLARS} * 1000000}")
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroups:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"name\": \"${AD_GROUP_NAME}\",
\"campaign\": \"customers/${GADS_CUSTOMER_ID}/campaigns/${CAMPAIGN_ID}\",
\"status\": \"ENABLED\",
\"type\": \"SEARCH_STANDARD\",
\"cpcBidMicros\": \"${BID_MICROS}\"
}
}]
}"
Print: ✓ Ad group "${AD_GROUP_NAME}" created in campaign ${CAMPAIGN_ID} (CPC bid: $X.XX)
List keywords in ad group (ad-groups keywords <AD_GROUP_ID>):
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary "{\"query\": \"SELECT ad_group_criterion.criterion_id, ad_group_criterion.keyword.text, ad_group_criterion.keyword.match_type, ad_group_criterion.cpc_bid_micros, ad_group_criterion.status FROM ad_group_criterion WHERE ad_group.id = ${AD_GROUP_ID} AND ad_group_criterion.type = KEYWORD AND ad_group_criterion.status != REMOVED\"}"
Output:
| # | Keyword | Match Type | CPC Bid | Status |
Add keyword to ad group (ad-groups add-keyword <AD_GROUP_ID>):
Collect via AskUserQuestion:
- Keyword text (free text)
- Match type — AskUserQuestion options:
[Broad, Phrase, Exact]
Map: BROAD, PHRASE, EXACT
- CPC bid in dollars (free text, convert to micros) — optional, uses ad group default if not provided
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroupCriteria:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"create\": {
\"adGroup\": \"customers/${GADS_CUSTOMER_ID}/adGroups/${AD_GROUP_ID}\",
\"status\": \"ENABLED\",
\"keyword\": {
\"text\": \"${KEYWORD_TEXT}\",
\"matchType\": \"${MATCH_TYPE}\"
}
${BID_MICROS:+,\"cpcBidMicros\": \"${BID_MICROS}\"}
}
}]
}"
Print: ✓ Keyword "${KEYWORD_TEXT}" (${MATCH_TYPE}) added to ad group ${AD_GROUP_ID}
Note: Keywords are immutable after creation. To change match type or text, remove and recreate. To change bid only, use ad-groups update-bid.
Remove keyword (ad-groups remove-keyword <AD_GROUP_ID> <CRITERION_ID>):
⚠ Rule 5 — confirm before removing via AskUserQuestion: "Remove keyword <TEXT> from ad group <NAME>?" with options [Remove, Cancel].
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroupCriteria:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"remove\": \"customers/${GADS_CUSTOMER_ID}/adGroupCriteria/${AD_GROUP_ID}~${CRITERION_ID}\"
}]
}"
Print: ✓ Keyword removed from ad group.
Update keyword bid (ad-groups update-bid <AD_GROUP_ID> <CRITERION_ID> <BID>):
NEW_BID_MICROS=$(awk "BEGIN {printf \"%d\", ${NEW_BID} * 1000000}")
curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/adGroupCriteria:mutate" \
"${GADS_HEADERS[@]}" \
--data-binary "{
\"operations\": [{
\"update\": {
\"resourceName\": \"customers/${GADS_CUSTOMER_ID}/adGroupCriteria/${AD_GROUP_ID}~${CRITERION_ID}\",
\"cpcBidMicros\": \"${NEW_BID_MICROS}\"
},
\"updateMask\": \"cpcBidMicros\"
}]
}"
Print: ✓ Keyword bid updated to $X.XX
campaigns
Cross-channel campaign overview — unified view of active campaigns across all configured channels (Klaviyo, Meta Ads, Google Ads).
Run in parallel:
- Klaviyo active campaigns (status: draft + scheduled + sending)
- Meta Ads active campaigns (status ACTIVE) — reuse
META_TOKEN / META_ACCOUNT
- Google Ads active campaigns (status ENABLED) — reuse
GADS_* credentials if configured
- Google Ads: refresh access token first (see Credential Resolution)
META_CAMPAIGNS=$(curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/campaigns?fields=name,status,daily_budget,lifetime_budget,objective&filtering=[{\"field\":\"effective_status\",\"operator\":\"IN\",\"value\":[\"ACTIVE\"]}]" \
-H "Authorization: Bearer ${META_TOKEN}" 2>/dev/null)
KLAVIYO_CAMPAIGNS=$(curl -s "https://a.klaviyo.com/api/campaigns/?filter=equals(messages.channel,'email')&sort=-created_at&page[size]=10" \
-H "Authorization: Klaviyo-API-Key ${KLAVIYO_KEY}" \
-H "revision: 2024-10-15" 2>/dev/null)
GADS_CAMPAIGNS=""
if [ -n "$GADS_ACCESS_TOKEN" ] && [ "$GADS_ACCESS_TOKEN" != "null" ]; then
GADS_CAMPAIGNS=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{"query": "SELECT campaign.id, campaign.name, campaign.status, campaign_budget.amount_micros, metrics.cost_micros FROM campaign WHERE campaign.status = ENABLED ORDER BY metrics.cost_micros DESC LIMIT 10"}' 2>/dev/null)
fi
Output format
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CROSS-CHANNEL CAMPAIGNS — active
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
EMAIL (Klaviyo)
[campaign name] [status] [send date or "scheduled for X"]
PAID — META ADS
[campaign name] [status] $[daily_budget]/day [objective]
PAID — GOOGLE ADS
[campaign name] [status] $[budget]/day $[spend 7d]
FLOWS (Always-on automation)
[flow name] [trigger type] [status: live/draft]
For any channel not configured, show [not configured — /ops:marketing setup].
optimize
Cross-platform ad optimization agent. Reads Meta + Google Ads data, computes blended ROAS, and recommends where to shift budget.
Spawn the marketing optimizer agent:
Agent(prompt="Run the marketing optimizer agent. Read ops-marketing-dash data for Meta Ads and Google Ads spend/conversions/ROAS. Compute blended ROAS across platforms. Identify the highest-ROAS platform. Recommend budget shifts with specific dollar amounts. List top 3 actions by expected impact. Use the marketing-optimizer.md agent instructions.", model="claude-sonnet-4-5")
If Agent Teams are available (CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1):
TeamCreate("optimizer")
Agent(team_name="optimizer", name="marketing-optimizer", prompt="You are the marketing optimizer. Read ops-marketing-dash pre-gathered data. Compute blended ROAS for Meta + Google. Recommend budget reallocation. Show unified attribution table.")
Output format
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AD OPTIMIZATION REPORT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Blended ROAS: [X]x (Meta: [X]x Google: [X]x)
Total Spend: $[X] Total Revenue: $[X]
RECOMMENDATIONS
1. [Action] Expected impact: [+X% ROAS / +$X revenue]
2. [Action] ...
3. [Action] ...
BUDGET REALLOCATION
Move $[X]/day from [Platform A] → [Platform B]
Rationale: [X]x ROAS vs [X]x ROAS
attribution
Unified attribution table showing spend, conversions, revenue, and ROAS side-by-side across all configured platforms.
META_DATA=$(curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/insights?fields=spend,actions,action_values&date_preset=last_7d&level=account" \
-H "Authorization: Bearer ${META_TOKEN}" 2>/dev/null)
META_SPEND=$(echo "$META_DATA" | jq -r '.data[0].spend // "0"')
META_CONV=$(echo "$META_DATA" | jq '[.data[0].actions[]? | select(.action_type == "purchase") | .value | tonumber] | add // 0' 2>/dev/null)
META_REV=$(echo "$META_DATA" | jq '[.data[0].action_values[]? | select(.action_type == "purchase") | .value | tonumber] | add // 0' 2>/dev/null)
META_ROAS=$(awk "BEGIN { if (${META_SPEND:-0} > 0) printf \"%.2f\", ${META_REV:-0} / ${META_SPEND:-1}; else print \"—\" }")
GADS_DATA=""
GADS_SPEND="0"; GADS_CONV="0"; GADS_REV="0"; GADS_ROAS="—"
if [ -n "$GADS_ACCESS_TOKEN" ] && [ "$GADS_ACCESS_TOKEN" != "null" ]; then
GADS_DATA=$(curl -s -X POST \
"https://googleads.googleapis.com/${GADS_API_VERSION}/customers/${GADS_CUSTOMER_ID}/googleAds:searchStream" \
"${GADS_HEADERS[@]}" \
--data-binary '{"query": "SELECT metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM customer WHERE segments.date DURING LAST_7_DAYS"}' 2>/dev/null)
GADS_SPEND=$( | jq 2>/dev/null || )
GADS_CONV=$( | jq 2>/dev/null || )
GADS_REV=$( | jq 2>/dev/null || )
GADS_ROAS=$(awk )
KLAVIYO_REV=
GA4_DATA=$(curl -s -X POST \
-H \
-H \
-d 2>/dev/null)
GA4_CONV=$( | jq -r )
GA4_REV=$( | jq -r )
TOTAL_AD_SPEND=$(awk )
TOTAL_AD_REV=$(awk )
BLENDED_ROAS=$(awk )
dashboard (default — no args)
Run ALL sections in parallel, then render unified dashboard.
"${CLAUDE_PLUGIN_ROOT}/bin/ops-marketing-dash" 2>/dev/null
Parse the JSON output and display:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MARKETING DASHBOARD — [date]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Email (Klaviyo) [N] subs | [X]% open rate | $[X] attributed
Paid (Meta) $[X] spent | [X]x ROAS | [N] purchases
Paid (Google) $[X] spent | [X]x ROAS | [N] conversions
Organic (GA4) [N] sessions | [X]% CVR | $[X] revenue
SEO (GSC) [N] clicks | [N] impressions | [X] avg pos
Instagram [N] followers | [N] reach (7d)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Marketing Health Score: [N]/100 ([status: Healthy/Warning/Critical])
Blended ROAS: [X]x Top channel: [channel]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Marketing Health Score computation (0-100, shown at bottom of dashboard):
- Blended ROAS ≥ 3x: +30 pts; 1-3x: +15 pts; < 1x: +0 pts
- Email open rate ≥ 20%: +20 pts; 10-20%: +10 pts; < 10%: +0 pts
- Channel diversity (3+ platforms active): +20 pts; 2 platforms: +10 pts; 1: +0 pts
- GA4 CVR ≥ 2%: +20 pts; 1-2%: +10 pts; < 1%: +0 pts
- Organic SEO clicks > 1,000/mo: +10 pts; 100-1000: +5 pts; < 100: +0 pts
Status thresholds: ≥70 = Healthy, 40-69 = Warning, < 40 = Critical.
For any channel with missing credentials, show [not configured — /ops:marketing setup].
setup
Before asking for anything, auto-scan ALL sources for existing credentials. Run in a single background batch:
printenv KLAVIYO_API_KEY KLAVIYO_PRIVATE_KEY META_ACCESS_TOKEN FACEBOOK_ACCESS_TOKEN META_AD_ACCOUNT_ID GA4_PROPERTY_ID GA_MEASUREMENT_ID 2>/dev/null
printenv GOOGLE_ADS_DEVELOPER_TOKEN GOOGLE_ADS_CLIENT_ID GOOGLE_ADS_CLIENT_SECRET GOOGLE_ADS_REFRESH_TOKEN GOOGLE_ADS_CUSTOMER_ID 2>/dev/null
grep -h 'KLAVIYO\|META_\|FACEBOOK\|GA4\|GA_MEASUREMENT\|GOOGLE_ADS' ~/.zshrc ~/.bashrc ~/.zprofile ~/.envrc 2>/dev/null | grep -v '^#'
for proj in $(doppler projects --json 2>/dev/null | jq -r '.[].slug'); do
for cfg in dev stg prd; do
doppler secrets --project "$proj" --config "$cfg" --json 2>/dev/null | \
jq -r --arg proj "$proj" --arg cfg "$cfg" 'to_entries[] | select(.key | test("KLAVIYO|META|FACEBOOK|GA4|GOOGLE|GOOGLE_ADS"; "i")) | "\(.key)=\(.value.computed) (doppler:\($proj)/\($cfg))"'
done
done
dcli password klaviyo --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
dcli password facebook --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
dcli password meta --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
dcli password "google ads" --output json 2>/dev/null | jq -r '.[] | select(.password != null and .password != "") | "\(.title): token found"'
security find-generic-password -s "klaviyo-api-key" -w 2>/dev/null
security find-generic-password -s -w 2>/dev/null
security find-generic-password -s -w 2>/dev/null
gcloud auth application-default print-access-token 2>/dev/null | -c 10 &&
sqlite3 ~/Library/Application\ Support/Google/Chrome/Default/History \
2>/dev/null
