# Bing Ads integrations

> Connect Microsoft Advertising to your CRM, analytics, and marketing stack to cut manual reporting and make smarter campaign decisions.

**Canonical page:** https://tray.ai/connectors/bing-ads-integrations/
**Categories:** Marketing
**Documentation:** https://tray.ai/documentation/connectors/service/bing-ads

## Overview

Bing Ads (Microsoft Advertising) reaches hundreds of millions of searchers across the Microsoft Search Network — a paid search channel too large to ignore. But running campaigns well means keeping audience data, budget signals, and performance metrics in sync across multiple platforms. That work piles up fast. Tray.ai connects Bing Ads to your tech stack so you can automate lead flow, optimize spend, and report on performance without manual exports or copy-paste work.

## Use cases

### Automated Lead Sync from Bing Ads to CRM

When a user converts through a Bing Ads lead form or landing page, their contact details should hit your CRM immediately. Tray.ai captures conversion events and pushes them into Salesforce, HubSpot, or any CRM in real time, so sales reps follow up while leads are still warm.

- Eliminate manual CSV exports and CRM imports from Microsoft Advertising
- Reduce lead response time from hours to seconds
- Keep lead attribution data consistent across marketing and sales systems

### Cross-Channel Campaign Performance Reporting

Comparing Bing Ads performance alongside Google Ads, Facebook, and LinkedIn in one dashboard means pulling data from multiple APIs. Tray.ai automates the extraction of impressions, clicks, spend, and conversions from Bing Ads and pushes normalized data into BigQuery, Looker, or Google Sheets for unified reporting.

- Save hours of weekly manual reporting by scheduling automated data pulls
- Normalize cost-per-click and ROAS metrics across all paid channels
- Deliver consistent, up-to-date dashboards to stakeholders without analyst intervention

### Dynamic Audience List Updates

Stale remarketing and customer match audiences hurt campaign relevance. Tray.ai automates syncing updated customer lists from your CRM or CDP to Bing Ads audience segments, so suppression lists, upsell audiences, and lookalike seeds stay current.

- Automatically suppress converted customers from acquisition campaigns
- Push high-value customer segments from Salesforce directly into Bing Ads audiences
- Reduce wasted ad spend by keeping audience exclusions up to date

### Budget Pacing Alerts and Automated Adjustments

Overspending or underspending against monthly budgets is a constant headache for paid search teams. Tray.ai monitors Bing Ads campaign spend in real time and triggers Slack alerts or automated bid adjustments when campaigns approach budget thresholds, stopping costly overruns before they happen.

- Receive proactive Slack or email alerts when campaigns hit 80% of budget
- Automatically pause campaigns that exceed defined daily spend limits
- Avoid end-of-month budget surprises with continuous spend monitoring

### Conversion Data Enrichment for Offline Events

B2B teams often close deals offline, long after the initial Bing Ads click. Tray.ai automates offline conversion uploads to Microsoft Advertising, pulling closed-won opportunity data from your CRM and sending it back to Bing Ads so the platform can optimize bidding toward revenue-generating keywords.

- Improve automated bidding by feeding real revenue outcomes back to Bing Ads
- Accurately attribute pipeline and closed revenue to paid search keywords
- Remove the manual process of formatting and uploading offline conversion files

### Competitor and Quality Score Monitoring

Keeping up with Quality Score changes and impression share shifts means frequent checks across dozens of campaigns. Tray.ai schedules automated pulls of keyword performance data from Bing Ads and logs changes to a spreadsheet or fires alerts when scores drop below acceptable thresholds.

- Get instant notifications when keyword Quality Scores deteriorate
- Track impression share trends over time without manual data collection
- Correlate Quality Score changes with landing page or ad copy updates

### New Salesforce Opportunity Triggered Ad Suppression

When a prospect enters your sales pipeline, serving them top-of-funnel ads wastes budget and creates a disjointed experience. Tray.ai watches for new or updated opportunities in Salesforce and automatically adds those contacts to Bing Ads suppression audiences to stop retargeting mid-funnel prospects.

- Prevent sales-qualified prospects from seeing acquisition ads
- Improve overall campaign efficiency by reducing irrelevant impressions
- Keep the buyer experience consistent between sales and paid media teams

## Templates

### Bing Ads Leads to Salesforce Contact

Automatically creates or updates a Salesforce contact and lead record whenever a new conversion is recorded in Bing Ads, including UTM and campaign attribution data.

Connectors used: Bing Ads, Salesforce

### Daily Bing Ads Performance Report to Google Sheets

Pulls campaign-level spend, clicks, impressions, and conversions from Bing Ads every morning and appends a new row to a Google Sheet for easy trend tracking and stakeholder sharing.

Connectors used: Bing Ads, Google Sheets

### Sync HubSpot Customer List to Bing Ads Audience

Keeps a Bing Ads customer match audience in sync with a HubSpot smart list, automatically adding new contacts and removing churned customers daily.

Connectors used: HubSpot, Bing Ads

### Bing Ads Budget Alert to Slack

Monitors daily and monthly campaign spend against budget thresholds and sends a formatted Slack message to the paid search team when campaigns approach or exceed limits.

Connectors used: Bing Ads, Slack

### Offline Conversion Upload from Salesforce to Bing Ads

Automatically uploads closed-won opportunity data from Salesforce to Microsoft Advertising as offline conversions, giving bidding algorithms real revenue signals to work with.

Connectors used: Salesforce, Bing Ads

### Multi-Channel Paid Search Dashboard Sync to BigQuery

Combines Bing Ads and Google Ads performance data into a single BigQuery dataset daily, so your team can run unified reporting and cross-channel attribution in Looker or Data Studio.

Connectors used: Bing Ads, Google Ads, Google BigQuery

## Challenges Tray.ai solves

### Inconsistent Attribution Data Across Platforms

Bing Ads attribution data rarely matches what's in your CRM or analytics platform, which creates disputes between marketing and sales teams about which campaigns are actually driving revenue.

**How Tray.ai helps:** Tray.ai pulls raw conversion and click data from Bing Ads, enriches it with CRM closed-won data, and writes both into a unified data warehouse so attribution is consistent and auditable.

### Manual and Error-Prone Audience List Management

Uploading customer match lists to Bing Ads means formatting CSVs to exact specifications, logging in, and manually navigating to the audience manager. It's tedious work that regularly produces stale or incorrectly formatted lists.

**How Tray.ai helps:** Tray.ai automates the full audience sync pipeline, fetching contact data from your CRM on a schedule, transforming it to Microsoft Advertising's required format, and uploading it via API without any human interaction.

### No Real-Time Visibility Into Budget Overspend

Paid search teams often discover budget overruns at end of day or end of month, after the damage is done. That means unexpected invoice amounts and missed performance targets.

**How Tray.ai helps:** Tray.ai runs continuous spend monitoring workflows that check Bing Ads campaign budgets hourly and trigger immediate Slack or email alerts — or auto-pause campaigns — before overruns happen.

### Siloed Reporting Across Paid Channels

When Bing Ads data lives in Microsoft Advertising and Google Ads data lives in its own platform, building a unified paid media report means manual exports, VLOOKUP-heavy spreadsheets, and hours of analyst time each week.

**How Tray.ai helps:** Tray.ai pulls data from all paid channels on a schedule and loads normalized metrics into a single BigQuery dataset or Google Sheet, so live cross-channel dashboards don't require manual effort.

### Delayed Lead Follow-Up Due to Manual CRM Entry

When Bing Ads leads come in through landing pages or lead forms, they often sit in a spreadsheet or email notification until someone manually enters them into the CRM. By that point, the lead has gone cold.

**How Tray.ai helps:** Tray.ai triggers instantly on new Bing Ads conversion events and creates CRM records in real time, so no lead goes cold and every contact is attributed to the correct campaign, ad group, and keyword.

## Agent features

### Retrieve Campaign Performance Metrics (Data Source)

Pull click-through rates, impressions, conversions, and spend data across campaigns to give an agent real-time visibility into ad performance. The agent can surface insights, flag underperforming campaigns, and recommend optimizations.

### Fetch Ad Group Details (Data Source)

Retrieve ad group configurations including targeting settings, bids, and status so an agent can understand the structure and health of active campaigns. Useful for auditing campaign setup or diagnosing performance issues.

### Look Up Keyword Performance (Data Source)

Query keyword-level data including quality scores, bids, match types, and conversion metrics so an agent can identify high- and low-performing keywords. Supports automated bid adjustment recommendations or keyword pruning decisions.

### Pull Budget and Spend Reports (Data Source)

Fetch current budget allocations and daily or monthly spend totals across campaigns so an agent can monitor pacing and prevent overspend. The agent can alert stakeholders when spend is trending above or below targets.

### Retrieve Audience and Targeting Data (Data Source)

Access audience lists, demographic targeting, and geographic settings applied to campaigns so an agent can check targeting coverage and whether it actually matches campaign goals.

### Create New Campaigns (Agent Tool)

Programmatically create new advertising campaigns in Bing Ads with specified budgets, targeting, and goals, letting an agent launch campaigns in response to business triggers like new product launches or promotional events.

### Update Campaign Budgets (Agent Tool)

Adjust campaign daily or lifetime budgets based on performance thresholds or business rules, letting an agent scale spending up or down without manual intervention.

### Pause or Activate Campaigns and Ad Groups (Agent Tool)

Enable or pause campaigns, ad groups, or individual ads based on performance signals or scheduling logic, letting an agent respond to budget limits, seasonal needs, or poor performance as they happen.

### Modify Keyword Bids (Agent Tool)

Update keyword-level bids across ad groups to hit target CPA or ROAS goals, letting an agent act on performance data by raising bids on converting keywords or cutting spend on costly ones.

### Add or Remove Keywords (Agent Tool)

Insert new keywords into ad groups or remove underperforming ones, letting an agent continuously refine keyword strategy based on search trend data, competitor analysis, or conversion performance.

### Create or Update Ads (Agent Tool)

Generate and deploy new ad copy or update existing ads within campaigns, letting an agent run A/B tests, refresh creatives, or match messaging to active promotions.

### Manage Negative Keywords (Agent Tool)

Add negative keywords at the campaign or ad group level to stop ads from showing on irrelevant searches, letting an agent cut wasted spend by refining exclusion lists based on search term reports.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/