Zignal Labs Integration

Zignal Labs Data Integration | Media Intelligence Hub

Connect Zignal Labs and let AI agents query media monitoring metrics, sentiment scores, and share of voice data across earned, owned, and paid channels.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Zignal Labs
Show me our brand sentiment trends across news and social media for Q1.
Your brand mentions increased 43% quarter-over-quarter, with 67% positive sentiment across 12,400 articles and posts. Peak volume occurred during your March product launch, generating 2.8M impressions with 71% favorable coverage.
Which competitor narratives are gaining traction in our category?
Three competitors show rising share of voice: TechRival up 28% in tech publications, focusing on AI features; RetailCo gaining 19% in consumer outlets with sustainability messaging; StartupX capturing 15% in business media around funding announcements. Your brand holds 34% category share of voice, down 6 points from last quarter.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Zignal Labs Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect Zignal Labs to your data stack

Improvado connects directly to Zignal Labs' API to extract media monitoring metrics, sentiment scores, share of voice data, and brand mention analytics. The platform automatically pulls data from your Zignal Labs campaigns and reports without manual intervention. Data refreshes run on customizable schedules, ensuring your analytics remain current. All extraction happens through secure API connections with built-in error handling and retry logic.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Zignal Labs API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Zignal Labs through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Unified media intelligence across platforms

Improvado's Marketing Common Data Model standardizes Zignal Labs metrics alongside data from social platforms, advertising channels, and PR tools. This normalization enables cross-platform analysis of brand sentiment, media coverage impact on conversions, and comprehensive reputation management. You can analyze how earned media from Zignal Labs correlates with paid campaign performance and organic social engagement. The unified dataset supports attribution modeling that includes brand mention influence on customer journeys.

Zignal Labs API v2 · API key · hourly sync · incremental
Schema Overview

Data objects and fields Improvado extracts from Zignal Labs

Object Fields
Campaign
mentions sentiment_score reach engagement share_of_voice
Story
impressions engagement_rate sentiment virality_score peak_velocity
Source
mention_count reach sentiment influence_score engagement
Topic
volume sentiment reach trending_score share_of_voice
How it works

From connection to autonomous action in three steps

1

Connect

Connect your Zignal Labs account via OAuth. The agent accesses your media monitoring streams, sentiment analysis, and narrative tracking data in real-time.

2

Ask

Ask questions like 'Which topics are driving negative sentiment this week?' or 'Show me share of voice compared to our top 3 competitors across broadcast and digital news.'

3

Act

The agent creates sentiment alerts, exports narrative reports filtered by source type or geography, and flags emerging crisis signals based on volume spikes or sentiment shifts you define.

Use Cases

What teams ask their AI agent about Zignal Labs

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Track brand sentiment across earned, owned, and paid media in unified dashboards

Your AI agent analyzes Zignal Labs data and delivers actionable insights — automatically, in seconds.

12 hrs → 30 min
A
Improvado Agent Cross-channel

Measure media coverage impact on website traffic and conversion rates

Your AI agent analyzes Zignal Labs data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Generate executive reports combining PR metrics with marketing performance data

Your AI agent analyzes Zignal Labs data and delivers actionable insights — automatically, in seconds.

6 hrs → 20 min
AI Agent Access

Your agent doesn't just read Zignal — it ties PR coverage to conversions.

Read

The agent reads brand mentions, sentiment scores, share of voice metrics, narrative themes, source breakdowns (news, social, broadcast), influencer impact data, and competitive intelligence across your monitored media landscape.

Write

The agent configures sentiment threshold alerts, schedules narrative summary reports, exports filtered mention datasets by topic or region, and sets up automated notifications for volume anomalies or crisis indicators.

Monitor

The agent monitors real-time sentiment shifts, tracks narrative momentum changes, watches for mention volume spikes exceeding baseline thresholds, and alerts on competitor share of voice movements in your category.

AI agents query media monitoring metrics, sentiment scores, and brand mention analytics from Zignal Labs. They track how media coverage impacts website traffic, measure share of voice against competitors, and generate reports combining PR metrics with marketing performance. Agents automatically correlate earned media spikes with conversion rate changes.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Zignal Labs
You
What are our top media narratives driving engagement this month?
A
Media Narratives
Narrative Theme Mentions Engagement Rate
Sustainable packaging initiative 1,847 +82%
Supply chain transparency 1,203 +64%
Product quality concerns 892 -41%
Store expansion plans 674 +53%
Customer service improvements 521 +29%
5 narratives · 5,137 total mentions · 68% positive sentiment
You
Set up an alert if negative sentiment on product quality exceeds 30% in a single day.
A
Alert Created
Monitoring product quality sentiment threshold
Destinations

Send Zignal Labs data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

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 Zignal Labs 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.

FAQ

Frequently asked questions

What Zignal Labs metrics can Improvado extract?
Improvado extracts sentiment scores, share of voice metrics, brand mention volumes, reach and impressions data, and engagement rates from Zignal Labs. The platform also pulls demographic breakdowns, geographic data, and trending topic analysis. Custom metrics and saved searches from your Zignal Labs account are included in the extraction.
How often does Zignal Labs data refresh in my warehouse?
Data refresh frequency is fully customizable based on your needs. Most clients set up daily refreshes for comprehensive reporting, while others prefer hourly updates for real-time monitoring. Improvado supports refresh intervals from every 15 minutes to monthly depending on your use case.
Can I combine Zignal Labs data with social media metrics?
Yes, Improvado's Marketing Common Data Model normalizes Zignal Labs data alongside metrics from Facebook, Twitter, LinkedIn, and other social platforms. This creates unified datasets for cross-platform sentiment analysis and comprehensive brand monitoring. You can analyze how earned media mentions correlate with owned social performance.
Does the integration support historical Zignal Labs data?
Improvado can extract historical data from Zignal Labs based on your account's data retention policies. The platform performs initial historical backfills when setting up the connection. Historical depth depends on your Zignal Labs subscription level and data availability.
What destinations work with Zignal Labs data from Improvado?
Zignal Labs data can be loaded into BigQuery, Snowflake, Redshift, and Azure data warehouses. The platform also supports direct connections to Tableau, Power BI, and Looker for visualization. Custom API endpoints and SFTP destinations are available for enterprise clients.
How does Improvado handle Zignal Labs API rate limits?
Improvado automatically manages API rate limiting through intelligent request throttling and queue management. The platform distributes requests across time windows to stay within Zignal Labs' API limits. If limits are reached, the system automatically retries requests during the next available window.