Zenloop Data Integration | NPS & Customer Feedback
Connect Zenloop and let AI agents query NPS scores, feedback, and customer sentiment alongside acquisition costs from 1,000+ channels.
Key Takeaways Automate Zenloop NPS data extraction and loading
Improvado connects to Zenloop's API to extract NPS scores, customer feedback, survey responses, and satisfaction trends automatically. Our platform pulls detractor, passive, and promoter segments along with qualitative feedback and customer attributes on your chosen schedule. Data loads directly into BigQuery, Snowflake, Redshift, or Azure without manual exports or CSV uploads. Historical NPS trends and feedback patterns are preserved for long-term analysis.
Unify customer satisfaction with marketing data
Improvado's Marketing Common Data Model aligns Zenloop NPS data with marketing campaign performance, customer acquisition costs, and revenue metrics. Customer satisfaction scores connect with specific marketing touchpoints, channel attribution, and customer lifetime value calculations. This unified view reveals which marketing activities drive satisfied customers versus detractors. Analyze NPS trends against marketing spend, campaign timing, and customer journey stages in your preferred BI tool.
Data objects and fields Improvado extracts from Zenloop
| Object | Fields |
|---|---|
| Feedback | feedback_id survey_id nps_score comment created_at |
| Survey Response | response_id survey_id respondent_email score timestamp |
| NPS Metrics | survey_id promoters passives detractors nps_score |
| Answer | answer_id question_id response_text survey_id submitted_at |
From connection to autonomous action in three steps
Connect
Connect Zenloop via API key from your account settings. The agent pulls NPS scores, response data, customer segments, and detractor/promoter classifications in real time.
Ask
Ask questions like 'Which product line has the lowest NPS this month?' or 'Show me detractor feedback mentioning shipping from the last two weeks' or 'What's the promoter-to-detractor ratio for enterprise customers?'
Act
The agent tags responses with custom labels, triggers follow-up surveys to specific segments, exports filtered feedback to your CRM, and configures threshold-based alerts when segment scores cross critical levels.
What teams ask their AI agent about Zenloop
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Track NPS scores by marketing channel to identify which sources bring the most satisfied customers
Your AI agent analyzes Zenloop data and delivers actionable insights — automatically, in seconds.
Correlate customer feedback with campaign performance to optimize messaging and targeting
Your AI agent analyzes Zenloop data and delivers actionable insights — automatically, in seconds.
Build executive reports showing customer satisfaction impact on retention and revenue growth
Your AI agent analyzes Zenloop data and delivers actionable insights — automatically, in seconds.
Your agent calculates NPS by acquisition channel automatically
Read
The agent reads NPS scores, CSAT ratings, CES measurements, customer feedback verbatims, response volumes, segment breakdowns, promoter/passive/detractor distributions, survey completion rates, and trend data across time periods and customer cohorts.
Write
The agent applies custom tags to responses, creates and sends targeted follow-up surveys, exports segmented feedback datasets, updates customer records with sentiment scores, and configures conditional alerts based on score thresholds or response patterns.
Monitor
The agent monitors NPS movements across segments, watches for sudden drops in specific cohorts, tracks detractor theme frequency, alerts on response volume anomalies, and flags when key customer groups shift between promoter/detractor categories.
AI agents query detractor, passive, and promoter segments with qualitative feedback, then match satisfaction scores to marketing sources for channel-level quality. Agents can identify campaigns bringing dissatisfied customers, correlate feedback themes with churn risk, and calculate how NPS improvements affect retention revenue.
| Segment | NPS Score | Change |
|---|---|---|
| Post-Purchase | 22 | -18 |
| Onboarding | 48 | +3 |
| Subscription Renewal | 56 | +1 |
| Support Interaction | 38 | -7 |
| Product Usage (90d) | 61 | +5 |
Send Zenloop data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
They extract data. Improvado deploys an agent.
Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Zenloop as one of 1,000+ integrated sources.
| Feature | Improvado | Supermetrics | Funnel.io | Fivetran |
|---|---|---|---|---|
| Data fields extracted | 200+ | ~90 | ~120 | ~80 |
| Total integrations | 1,000+ | ~150 | ~500 | ~300 |
| Cross-channel normalization (CDM) | ✓ Built-in | ✗ Manual | ● Basic mapping | ✗ Raw only |
| AI Agent access (MCP) | ✓ Read, Write, Monitor | ✗ | ✗ | ✗ |
| Data warehouse destinations | ✓ 16+ warehouses & BI tools | Sheets, Looker, BigQuery | BigQuery, Snowflake, Redshift | ✓ Broad warehouse support |
| Refresh frequency | Every 15 min | Scheduled triggers | Daily / 6hr | Every 15 min (premium) |
| SOC 2 Type II & HIPAA | ✓ | ✗ SOC 2 only | ✓ SOC 2 | ✓ |
| Best for | Teams that want an AI agent, not a pipeline | Small teams, spreadsheets | Mid-market, data teams | Engineering-led ELT pipelines |
Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.
Frequently asked questions
What Zenloop data does Improvado extract automatically?
How frequently can I sync Zenloop NPS data?
Can I connect NPS scores with customer acquisition data?
Does the integration include qualitative feedback text?
What data destinations work with Zenloop integration?
How does Improvado handle Zenloop survey segmentation?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours."
Put an AI agent on your Zenloop today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.