New York Times Integration

New York Times Integration: News Data Pipeline

Connect New York Times and let AI agents query campaign impressions, CTR, and audience demographics alongside other publisher data from 1,000+ sources.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to New York Times
Show me our top-performing sponsored content placements from last week.
Your sponsored articles drove 847K impressions and 23K clicks last week. The travel guide placement had the highest CTR at 3.8%, outperforming your average by 41%.
Compare engagement rates across our three active campaigns and flag any placements underperforming our 2.5% CTR benchmark.
Two placements are below threshold: the product launch article at 1.9% CTR and the brand story at 2.1% CTR. Your executive interview maintains 3.2% CTR with strong time-on-page metrics.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
New York Times Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Automate New York Times media data extraction

Improvado connects to New York Times advertising APIs and reporting systems to extract campaign performance data automatically. The platform pulls impression data, click-through rates, audience demographics, and content engagement metrics. Syncs run on your preferred schedule to maintain current campaign insights. Historical performance data imports alongside real-time campaign tracking.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the New York Times 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 New York Times 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

Unify NYT data with media mix analysis

New York Times campaign data gets standardized through Improvado's Marketing Common Data Model for cross-publisher analysis. Impression data, audience segments, and performance metrics align with other media buys using consistent naming conventions. Media planners can compare NYT performance against other premium publishers in unified dashboards. Attribution analysis becomes accurate when all media touchpoints share normalized data structures.

New York Times API v2 · API key · daily sync · full refresh
Schema Overview

Data objects and fields Improvado extracts from New York Times

Object Fields
Article
headline byline published_date section subsection url word_count
MostPopular
title published_date views shares media_type source
Archive
web_url snippet lead_paragraph abstract document_type news_desk
Search
headline pub_date type_of_material section_name word_count keywords
How it works

From connection to autonomous action in three steps

1

Connect

Connect your New York Times Advertising account through OAuth authentication. The agent securely accesses your sponsored content campaigns, placement data, and performance metrics across all active initiatives.

2

Ask

Ask questions like 'Which sponsored articles drove the most engagement this month?' or 'Compare CTR across our lifestyle versus business section placements.' The agent analyzes impression volume, click-through rates, time-on-page, and audience demographics.

3

Act

The agent pauses underperforming placements, adjusts budget allocation between campaigns, generates performance reports for stakeholders, and creates alerts when engagement metrics cross your defined thresholds.

Use Cases

What teams ask their AI agent about New York Times

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

Compare NYT campaign performance against other premium publisher placements

Your AI agent analyzes New York Times data and delivers actionable insights — automatically, in seconds.

6 hrs → 20 min
A
Improvado Agent Cross-channel

Track brand awareness lift from NYT campaigns using unified audience metrics

Your AI agent analyzes New York Times data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Build media mix models including NYT reach and frequency data

Your AI agent analyzes New York Times data and delivers actionable insights — automatically, in seconds.

10 hrs → 1 hr
AI Agent Access

Your agent doesn't just read NYT data — it optimizes premium media mix

Read

The agent reads sponsored content performance data including impressions, clicks, CTR, time-on-page, audience demographics, section placement, campaign spend, and engagement metrics across all your active placements.

Write

The agent pauses or activates sponsored content placements, adjusts campaign budgets, modifies targeting parameters, and updates bid strategies based on performance thresholds you define.

Monitor

The agent monitors CTR trends, impression volume changes, engagement rate fluctuations, budget pacing, and audience quality metrics. It alerts you when placements underperform benchmarks or when high-performing content opportunities emerge.

AI agents query impression data, click-through rates, and audience demographics from NYT campaigns. They can compare NYT performance against other premium publishers, calculate brand lift by merging reach data with awareness surveys, and build media mix models. Agents automatically answer questions like "How does NYT audience overlap with our WSJ campaigns?" by joining publisher data.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · New York Times
You
Show me performance metrics for all active sponsored content placements
A
Sponsored Content Performance
Placement Impressions CTR
Executive Interview: Future of Sustainable Fashion 312K 3.2%
Travel Guide: Pacific Northwest Adventures 289K 3.8%
Brand Story: Craftsmanship Meets Innovation 156K 2.1%
Product Launch: Spring Collection Reveal 134K 1.9%
Thought Leadership: Retail Transformation 98K 2.7%
5 placements · 989K impressions · avg 2.7% CTR
You
Pause the two underperforming placements and reallocate budget to the travel guide
A
Budget Reallocation Confirmed
2 placements paused · $18K shifted to top performer
Destinations

Send New York Times 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 New York Times 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 New York Times metrics does Improvado extract?
Improvado extracts impression data, click-through rates, completion rates for video ads, audience demographics, and campaign reach metrics. The platform also pulls content engagement data and advertiser performance reports from NYT systems.
Can I get New York Times audience demographic data?
Yes, audience demographic breakdowns including age, income, geography, and interest segments are available through NYT's reporting APIs. This data helps with media planning and audience analysis across campaigns.
How often does New York Times data sync?
Data syncs typically run daily or weekly depending on NYT's reporting schedule and your requirements. Campaign data usually updates within 24-48 hours of ad delivery.
Does Improvado normalize NYT data with other publishers?
Yes, NYT metrics get standardized through the Marketing Common Data Model alongside data from other publishers and ad networks. This enables consistent cross-platform media analysis and attribution modeling.
What analytics tools work with NYT data from Improvado?
NYT data loads into BigQuery, Snowflake, and other warehouses that connect to Tableau, Power BI, and Looker. Media teams often use specialized attribution and media mix modeling tools that integrate with these platforms.
Can I track NYT campaign ROI with other marketing data?
Yes, NYT campaign data combines with conversion tracking, CRM data, and other marketing touchpoints in your warehouse. This enables full-funnel attribution analysis and ROI calculation for premium media investments.