Connector
Get LinkedIn Ads Insights Delivered to Slack
Use OWOX Data Marts to turn LinkedIn Ads data into AI-powered insights delivered directly to Slack. Monitor performance, spot anomalies, and get answers – without opening dashboards.
The analytics system teams actually use
Marketplace users
175K+
teams running OWOX from the Google Workspace Marketplace
G2 rating
4.9
296 verified reviews on G2
Connector downloads
156K+
open-source connector installs via npm
GitHub stars
231
the platform is open source — star it, fork it, self-host it
S01 · Step 1
Step 1: Collect LinkedIn Ads Data
Start by collecting raw LinkedIn Ads data into a data storage using OWOX Data Marts.
- Choose a data warehouse such as BigQuery, Snowflake or AWS Redshift
- Collect spend, impressions, clicks, conversions, and campaign structure
- Keep full ownership and transparency over your ads data
S02 · Step 2
Step 2: Define Metrics & Business Logic
Define how LinkedIn Ads performance should be calculated and interpreted.
- Create or reuse a LinkedIn Ads Data Mart
- Define metrics like CPL, CPA, CTR, or custom B2B KPIs
- Ensure consistent logic across teams and reports
S03 · Step 3
Step 3: Configure AI Insights
Choose which LinkedIn Ads insights you want to receive.
- Daily or weekly performance summaries
- Spend spikes, drops, or anomalies
- Campaigns, creatives, or audiences that overperform or underperform expectations
S04 · Step 4
Step 4: Deliver Insights to Slack
Send LinkedIn Ads insights directly to your corporate Slack.
- Choose Slack channels or direct message emails
- Schedule automated delivery or receive alerts in real time
- Keep teams aligned without opening dashboards
S05 · Step 5
Step 5: Go Beyond Alerts & Summaries
Your LinkedIn Ads insights don’t have to live only in Slack.
- Reuse the same data mart in Google Sheets or Looker Studio
- Blend LinkedIn Ads data with CRM, GA4, or revenue data
- Extend AI Insights delivery to Email for broader stakeholder access
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What users are saying
Every claim has a receipt.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
Nodari RizunFounder & CEO, Pürblack®“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“We regained time. And time is the one resource that never comes back.”