psychology Emotional Brain
Next-Generation Behavioral Diagnostics & Customer Micro-Segmentation
GCP CONNECTION SETTINGS
CLIENT & PROJECT MANAGEMENT
Partial Schema Mismatch Detected dataset
Some components failed to sync with real BigQuery data due to missing columns (e.g., missing venue column in this dataset) or missing tables. The dashboard has safely loaded high-fidelity offline/aggregate data for these components so you can continue working while the schema is aligned.
Who has both engaged more than average and spent more than average.
Who has engaged more than average but spent less than average.
Who has engaged less than average but spent more than average.
Who has both engaged and spent less than average.
Who has bought in the last 125 days (average purchase cycle).
Who has engaged but not purchased in the last 125 days (average purchase cycle).
Who has not bought or engaged from 125 to 250 days.
Who has not bought or engaged from 250 to 375 days.
Who is engaging at least 20% more than their recent average.
Who is engaging about the same as their recent average.
Who is engaging at least 20% less than their recent average.
favorite Section 1: Core Health
storefront Location Filter
Emotional Loyalty Score (overall score of active customer loyalty health).
The # of customers who have been actively engaging in the last 67 days.
timeline ELS Historical Trend
layers Customer Tier Filter
repeat Section 2: Driving Repeat Purchase
donut_large Lifecycle State Trend
face Engagement Type Trend
payments Section 3: Maintaining Margin
stacked_line_chart ELS Label Trend
grid_view ELS Label Matrix
dashboard_customize Section 4: Acting on individual customers (micro-segmentation)
paid ELS Label Filter
There is no ELS assigned to non-active users
dynamic_feed Momentum filter
There is no Momentum assigned for non-active users
published_with_changes Lifecycle State filter
There are no Cooling users with ELS or Momentum
There are no Dormant users with ELS or Momentum
There are no engagement facets for Cooling or Dormant customers who have not engaged in a while.
Active Loyalty Profiles
| Customer Profile | Current ELS Label | Previous ELS Label | Momentum Group | Lifecycle State | Receptivity | Exploration | Expression | Friction | Spend |
|---|
patient_list Segment-of-One Profile
Sarah Jenkins
Active StateSentiment Analytics Dashboard
Sentiment indicators are currently being configured for your account. Automated customer feedback models and alignment trackers will activate here once your first review campaign is live.
psychology Emotional Brain
Next-Generation Behavioral Diagnostics & Customer Micro-Segmentation
Creation AI Marketing Agent
This agent focuses strictly on designing gamified loyalty triggers (Emotional Actions) utilizing Klaviyo and TRIFFT Loyalty based on your customer micro-segments and strategic business definitions.
Analyzing Customer Metrics & Compiling Action Plan...
Grounding campaigns based on your active segment sizes and behavioral affinities...
| Campaign Name & Channel | Target Micro-Segment | Segment Pain Point & Friction | Execution Strategy (Klaviyo + TRIFFT) | Target Metric & Expected Uplift | Status / Control |
|---|
Customer Cohorts (Size ≥ 2,000 Customers)
This table displays customer cohorts representing at least 2,000 users. Columns detail the ELS Label, Previous ELS Label, Tier, Behavioral Strengths (Top 25% percentile), Behavioral Pain Points (Bottom 25% percentile), and the biggest absolute BUY vs WANT discrepancies.
Loading Micro-Segments...
| Segment Name | Tier | ELS Label | Prev ELS | Customers | Top Behaviors (Top 25%) | Bottom Behaviors (Bottom 25%) | Buy vs Want Affinity Gaps |
|---|
group Manage Plan Builder Clients
| Client ID | Client Name | BigQuery Dataset ID | Actions |
|---|
Add New Client
playlist_add_check Project Implementation Tasks
Initializing task generation...
Our Creation AI is processing your active project guidelines, aligning strategic milestones, and constructing a database-ready implementation framework.
Applied AI Improvements 0 Active
The following learned guidelines are active for this project's sector based on user-submitted corrections.
Paste your corrected, finalized Notion task list here and explain what you changed. The Creation AI Agent will analyze your corrections to build long-term memory, ensuring future strategies naturally fit your team's workflow and design choices!