Zenloop Data Integration | NPS & Customer Feedback
Connect Zenloop's NPS and customer feedback data to your analytics stack through Improvado. Combine customer satisfaction scores with marketing performance for complete customer journey insights.
Top performer: Brand campaigns at 8.1x ROAS.
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.
From connection to autonomous action in three steps
Connect
Authenticate Zenloop via OAuth in under 5 minutes. Improvado normalizes your data across 1,000+ sources automatically.
Ask
Your AI agent queries Zenloop performance in natural language. Trends, anomalies, cross-channel comparisons — one conversation.
Act
The agent pauses underperformers, adjusts settings, generates executive reports, and monitors anomalies — every action logged.
Extract All Your Marketing Data from Zenloop
Zenloop - a customer feedback and survey platform.
This Improvado integration is available by request only. Unlike our typical API integrations which can be set up by anyone in just a few clicks, this one will need a bit of work on our side (and maybe even on yours). Sometimes we need to play together to achieve the best results for everyone.
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.
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 doesn't just read Zenloop — it acts on it
Read
Pull metrics, dimensions, and trends from Zenloop — across every account and campaign. Your AI handles the query.
Write
Launch campaigns, pause underperformers, adjust settings. Every action logged and governed.
Monitor
Anomaly alerts, budget pacing watches, weekly auto-reports. Problems caught before they burn budget.
Query, write, and monitor Zenloop through Claude, ChatGPT, Cursor, or any MCP client. Every action is logged and governed.
| Campaign | Spend | ROAS |
|---|---|---|
| Brand — Exact | $4,200 | 8.1x |
| Non-Brand | $12,800 | 4.7x |
| Retargeting — 30d | $3,100 | 4.2x |
| Competitor | $8,400 | 3.1x |
| DSA — Blog | $2,600 | 2.8x |
Send Zenloop data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage.
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
Put an AI agent on your Zenloop today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.