Quora Ads Integrations | Blue Frog Docs

Integrations linking Quora Ads with analytics platforms, attribution tools, and marketing automation.

Overview

Quora Ads provides integration capabilities that enable advertisers to track conversions, analyze campaign performance, and activate audiences across the customer journey. With native tracking tools, mobile measurement partner integrations, and CRM connectivity, Quora helps businesses leverage high-intent question-and-answer platform traffic for measurable outcomes.

This guide covers all available Quora Ads integration options, including the Quora Pixel, Conversions API, mobile attribution, analytics platforms, and data export capabilities.

Integration Capabilities

Native Quora Integrations

Quora Pixel

Client-side JavaScript tracking tag
Base pixel for pageviews and standard events
Custom event tracking capability
Audience building for retargeting
Conversion optimization
Dynamic event parameters

Quora Conversions API

Server-to-server event tracking
Privacy-compliant conversion measurement
Redundancy with Quora Pixel for deduplication
Offline conversion uploads
Enhanced data privacy controls
Real-time event transmission

Quora Ads Manager

Campaign creation and management interface
Audience targeting and insights
Real-time performance reporting
Budget and bid management
Creative library and management
Bulk editing tools

Quora Ads API

Programmatic campaign management
Automated reporting and analytics
Bulk operations support
Custom integration capabilities
OAuth 2.0 authentication
RESTful API architecture

Platform Requirements

Access Levels

Advertiser account: Basic campaign management
Account admin: Full access including billing
Agency access: Multi-client account management
Developer API access: Requires app approval
Conversion API access: Developer credentials required

Technical Prerequisites

Active Quora Ads account
Website with Quora Pixel installed
Domain verification for Conversions API
Server infrastructure for server-side tracking (optional)
Developer app credentials for API access (optional)

Analytics Platform Integrations

Google Analytics 4

Integration Method: Quora Pixel + UTM parameters Setup:

Install Quora Pixel alongside GA4 tracking code
Enable auto-tagging in Quora Ads Manager
Configure GA4 to recognize Quora as traffic source
Set up custom events in GA4 to mirror Quora events
Create custom dimensions for Quora campaign data

UTM Structure:

utm_source=quora
utm_medium=cpc (or display)
utm_campaign=[campaign_name]
utm_term=[question_target]
utm_content=[ad_variation]

Cross-Platform Event Tracking:

<!-- Quora Pixel with GA4 integration -->
<script>
!function(q,e,v,n,t,s){if(q.qp) return;
n=q.qp=function(){n.qp?n.qp.apply(n,arguments):n.queue.push(arguments);};
n.queue=[];t=document.createElement(e);t.async=!0;t.src=v;
s=document.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s);}
(window, 'script', 'https://a.quora.com/qevents.js');

qp('init', 'QUORA_PIXEL_ID');
qp('track', 'ViewContent');

// Also track in GA4
gtag('event', 'page_view', {
  'quora_campaign': '[campaign_id]',
  'acquisition_source': 'quora'
});
</script>

<!-- Conversion tracking in both platforms -->
<script>
qp('track', 'Purchase', {
  'currency': 'USD',
  'value': '99.99'
});

gtag('event', 'purchase', {
  'transaction_id': 'ORDER_123',
  'value': 99.99,
  'currency': 'USD',
  'source': 'quora'
});
</script>

Available Data in GA4:

Quora traffic source analysis
Conversion path with Quora touchpoints
User behavior metrics for Quora visitors
E-commerce attribution
Multi-channel funnel analysis
Audience overlap across channels

Adobe Analytics

Integration Method: Quora Pixel + Adobe Launch Setup:

Deploy Quora Pixel via Adobe Launch/Tags
Configure data elements for Quora parameters
Map Quora events to Adobe Analytics events
Set up eVars for campaign tracking
Create calculated metrics for Quora performance

Implementation Example:

// Adobe Analytics with Quora Pixel
var s = s_gi('report-suite-id');

// Track Quora conversion
qp('track', 'Purchase', {
  value: 149.99,
  currency: 'USD'
});

// Mirror to Adobe Analytics
s.eVar20 = 'Quora';
s.eVar21 = getQuoraCampaignId(); // From URL params
s.eVar22 = getQuoraQuestionTarget();
s.events = 'purchase';
s.products = ';Product SKU;1;149.99';
s.purchaseID = 'ORDER_456';
s.t();

Use Cases:

Cross-channel attribution modeling
Customer journey analysis with Quora touchpoints
Segment performance by question targeting
ROI measurement and comparison
Lifetime value tracking by acquisition source

Mixpanel

Integration Method: Quora Pixel + Mixpanel SDK Setup:

Deploy both Quora Pixel and Mixpanel
Send Quora attribution as Mixpanel user properties
Track Quora events as Mixpanel events
Build funnels including Quora traffic
Create cohorts based on Quora campaigns

Implementation:

// Mixpanel with Quora attribution
mixpanel.identify(user_id);

// Set acquisition properties
mixpanel.people.set({
  '$initial_referrer': 'quora',
  'quora_campaign': campaign_id,
  'quora_question_target': question_topic,
  'acquisition_date': new Date().toISOString()
});

// Track Quora conversions in Mixpanel
qp('track', 'CompleteRegistration');
mixpanel.track('Sign Up', {
  'source': 'quora',
  'campaign': campaign_id
});

Amplitude

Integration Method: Quora Pixel + Amplitude SDK Setup:

Install Amplitude SDK alongside Quora Pixel
Pass Quora attribution data to Amplitude
Track user properties with campaign data
Analyze behavioral cohorts by acquisition
Build retention analysis for Quora traffic

Configuration:

// Amplitude user properties from Quora
var identify = new amplitude.Identify()
  .set('acquisition_source', 'quora')
  .set('quora_campaign', campaign_id)
  .set('question_context', question_topic)
  .setOnce('first_touch_channel', 'quora');

amplitude.getInstance().identify(identify);

// Track events
qp('track', 'AddToCart', {value: 49.99});
amplitude.getInstance().logEvent('Product Added', {
  source: 'quora',
  value: 49.99
});

Mobile Attribution Integrations

AppsFlyer

Integration Type: Mobile measurement partner (MMP) Setup:

Install AppsFlyer SDK in mobile app
Enable Quora integration in AppsFlyer dashboard
Configure Quora as ad network in attribution settings
Map app events to Quora conversion events
Set up deep linking for app campaigns
Test attribution with test campaigns

Features:

App install attribution from Quora ads
In-app event tracking and optimization
Deep linking and deferred deep linking
Cross-device user journey tracking
Fraud detection and prevention
ROI and lifetime value measurement
Uninstall tracking

Attribution Windows:

Click-through: 7-30 days (configurable)
View-through: 1-7 days (configurable)
Re-engagement: 30-90 days (configurable)

Implementation:

// iOS - AppsFlyer with Quora
import AppsFlyerLib

func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]?) -> Bool {
    AppsFlyerLib.shared().appsFlyerDevKey = "YOUR_DEV_KEY"
    AppsFlyerLib.shared().appleAppID = "YOUR_APP_ID"

    // Start SDK
    AppsFlyerLib.shared().start()

    return true
}

// Track in-app event
AppsFlyerLib.shared().logEvent("af_purchase", withValues: [
    "af_revenue": 29.99,
    "af_currency": "USD",
    "af_content_id": "SKU123"
])

Adjust

Integration Type: Mobile app attribution platform Setup:

Integrate Adjust SDK in app
Enable Quora in Adjust dashboard
Configure attribution callbacks
Map conversion events
Set up postback URLs for Quora
Test install attribution flow

Features:

Multi-touch attribution
Fraud prevention and detection
Audience segmentation for retargeting
Revenue and LTV analytics
Real-time reporting dashboard
Uninstall and reinstall tracking
Cross-device attribution

Postback Configuration:

Postback URL template:
https://api.quora.com/pixel/callback?
  event={event_name}&
  campaign_id={campaign_id}&
  idfa={idfa}&
  gps_adid={gps_adid}&
  install_time={install_time}&
  event_value={revenue}

Branch

Integration Type: Deep linking and mobile attribution Setup:

Implement Branch SDK in app
Configure Quora as ad partner in Branch
Create Branch deep links for Quora campaigns
Enable deferred deep linking
Map conversion events to Branch taxonomy
Set up attribution webhooks

Features:

Universal deep linking from Quora to app
Deferred deep linking for new installs
Web-to-app conversion tracking
People-based attribution
Cross-platform user journey
Campaign performance analytics
Fraud detection

Deep Link Implementation:

// Branch deep link for Quora campaign
branch.link({
  campaign: 'Quora-Winter-Sale',
  channel: 'Quora',
  feature: 'paid_advertising',
  data: {
    '$desktop_url': 'https://yoursite.com/sale',
    '$ios_url': 'yourapp://sale',
    '$android_url': 'yourapp://sale',
    'quora_campaign_id': '123456',
    'question_target': 'productivity-tools'
  }
}, function(err, link) {
  // Use link in Quora ad
  console.log('Branch link: ', link);
});

CRM and Marketing Automation

Salesforce Integration

Method: Offline conversion uploads + audience lists Setup:

Export Quora click/impression data via API
Match to Salesforce leads by email or phone
Track opportunity progression
Upload closed deals as offline conversions to Quora
Build account lists for ABM targeting
Measure marketing-influenced revenue

Offline Conversion Upload:

import requests
import hashlib

def upload_salesforce_conversions_to_quora(api_key, conversions):
    """Upload Salesforce opportunities as Quora offline conversions"""

    url = "https://api.quora.com/v1/conversions"

    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }

    events = []
    for conv in conversions:
        # Hash PII for privacy
        email_hash = hashlib.sha256(conv['email'].lower().encode()).hexdigest()

        events.append({
            "event_name": "Lead",
            "conversion_time": conv['close_date_timestamp'],
            "conversion_value": conv['amount'],
            "currency": "USD",
            "hashed_email": email_hash,
            "transaction_id": conv['opportunity_id']
        })

    payload = {"data": events}
    response = requests.post(url, headers=headers, json=payload)
    return response.json()

Benefits:

Close the attribution loop from ad click to revenue
Build lookalike audiences from high-value customers
Exclude existing customers from prospecting
Measure true ROAS including offline conversions
Optimize bids based on deal size and close rate

HubSpot Integration

Method: Form tracking + list syncing Setup:

Deploy Quora Pixel on HubSpot landing pages
Track form submissions as Quora lead events
Sync HubSpot lists to Quora custom audiences
Set up workflows triggered by Quora engagement
Report on Quora influence in HubSpot attribution

Form Tracking:

<!-- HubSpot form with Quora conversion tracking -->
<script>
document.addEventListener('message', function(event) {
  if(event.data.type === 'hsFormCallback' && event.data.eventName === 'onFormSubmit') {
    // Track Quora conversion
    qp('track', 'CompleteRegistration', {
      'form_id': event.data.id,
      'form_name': 'Contact Form'
    });

    // Also track in HubSpot
    var _hsq = window._hsq = window._hsq || [];
    _hsq.push(['trackCustomBehavioralEvent', {
      name: 'Quora Lead',
      properties: {
        campaign: getQuoraCampaignId()
      }
    }]);
  }
});
</script>

Audience Syncing:

Upload HubSpot contact lists as Quora audiences (hashed emails)
Segment by lifecycle stage (Subscriber, Lead, MQL, SQL, Customer)
Build lookalikes from SQL/customer lists
Suppress customers from prospecting campaigns
Target based on HubSpot score or engagement

Marketo Integration

Method: Program membership + custom fields Setup:

Capture Quora UTM parameters in Marketo hidden fields
Track Quora-sourced leads in Marketo programs
Score leads based on Quora engagement
Sync Marketo segments to Quora for targeting
Measure program ROI with Quora attribution

Quora Conversions API

Server-Side Tracking Implementation

The Conversions API allows server-to-server event transmission for improved privacy and accuracy.

Authentication and Setup:

import requests
import hashlib
import time

class QuoraConversionsAPI:
    def __init__(self, pixel_id, access_token):
        self.pixel_id = pixel_id
        self.access_token = access_token
        self.base_url = "https://api.quora.com/v1"

    def send_event(self, event_data):
        """Send conversion event to Quora Conversions API"""

        url = f"{self.base_url}/pixel/{self.pixel_id}/track"

        headers = {
            "Authorization": f"Bearer {self.access_token}",
            "Content-Type": "application/json"
        }

        # Hash PII fields
        if 'email' in event_data.get('user_data', {}):
            email = event_data['user_data']['email'].lower().strip()
            event_data['user_data']['hashed_email'] = hashlib.sha256(email.encode()).hexdigest()
            del event_data['user_data']['email']

        if 'phone' in event_data.get('user_data', {}):
            phone = ''.join(filter(str.isdigit, event_data['user_data']['phone']))
            event_data['user_data']['hashed_phone'] = hashlib.sha256(phone.encode()).hexdigest()
            del event_data['user_data']['phone']

        response = requests.post(url, headers=headers, json=event_data)
        return response.json()

Event Structure:

# Example purchase event
purchase_event = {
    "event_name": "Purchase",
    "event_time": int(time.time()),
    "event_id": "order_789",  # For deduplication
    "event_source_url": "https://yoursite.com/checkout/success",
    "user_data": {
        "hashed_email": "hashed_email_sha256",
        "hashed_phone": "hashed_phone_sha256",
        "client_ip_address": "192.168.1.1",
        "client_user_agent": "Mozilla/5.0...",
        "fbp": "_fbp_cookie_value",  # Facebook browser pixel
        "fbc": "_fbc_cookie_value"   # Facebook click ID
    },
    "custom_data": {
        "value": "149.99",
        "currency": "USD",
        "content_ids": ["SKU789"],
        "content_type": "product",
        "num_items": 1
    }
}

# Send event
api = QuoraConversionsAPI('PIXEL_ID', 'ACCESS_TOKEN')
result = api.send_event(purchase_event)

Event Deduplication:

// Client-side Quora Pixel with event_id
const eventId = `purchase_${orderId}_${Date.now()}`;
qp('track', 'Purchase', {
  value: 149.99,
  currency: 'USD',
  event_id: eventId  // Unique ID for deduplication
});

// Server-side Conversions API with same event_id
conversions_api.send_event({
  event_name: 'Purchase',
  event_id: eventId,  // Must match client-side
  event_time: timestamp,
  // ... rest of event data
});

Supported Standard Events:

Generic: Generic conversion event
ViewContent: Page view
Search: Search performed
AddToCart: Product added to cart
AddToWishlist: Product added to wishlist
InitiateCheckout: Checkout started
AddPaymentInfo: Payment info added
Purchase: Purchase completed
Lead: Lead form submission
CompleteRegistration: Account registration

API Integration Patterns

Authentication

Quora Ads API uses OAuth 2.0:

import requests

def get_access_token(client_id, client_secret, redirect_uri, auth_code):
    """Exchange authorization code for access token"""

    url = "https://api.quora.com/oauth/v2/access_token"

    payload = {
        "grant_type": "authorization_code",
        "code": auth_code,
        "redirect_uri": redirect_uri,
        "client_id": client_id,
        "client_secret": client_secret
    }

    response = requests.post(url, data=payload)
    token_data = response.json()

    return token_data['access_token']

Campaign Management

Create Campaign:

def create_quora_campaign(access_token, account_id, campaign_data):
    """Create new Quora campaign via API"""

    url = f"https://api.quora.com/v1/accounts/{account_id}/campaigns"

    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json"
    }

    payload = {
        "name": campaign_data['name'],
        "status": "ACTIVE",
        "objective": campaign_data['objective'],  # CONVERSIONS, TRAFFIC, AWARENESS, APP_INSTALLS
        "budget": {
            "budget_type": "DAILY",
            "amount": campaign_data['daily_budget']
        },
        "bid_strategy": {
            "type": "AUTO",  # or TARGET_COST
            "target_cost": campaign_data.get('target_cpa')
        },
        "start_time": campaign_data['start_date'],
        "end_time": campaign_data.get('end_date')
    }

    response = requests.post(url, headers=headers, json=payload)
    return response.json()

Reporting and Analytics

Performance Report:

def get_campaign_performance(access_token, campaign_id, start_date, end_date):
    """Fetch campaign performance metrics"""

    url = f"https://api.quora.com/v1/campaigns/{campaign_id}/stats"

    headers = {
        "Authorization": f"Bearer {access_token}"
    }

    params = {
        "start_date": start_date,  # YYYY-MM-DD
        "end_date": end_date,
        "metrics": [
            "impressions",
            "clicks",
            "spend",
            "conversions",
            "ctr",
            "cpc",
            "cpa",
            "roas"
        ],
        "breakdown": "day"  # or "none", "question", "ad"
    }

    response = requests.get(url, headers=headers, params=params)
    return response.json()

Audience Insights:

def get_audience_insights(access_token, pixel_id, event_name):
    """Get audience demographics and interests"""

    url = f"https://api.quora.com/v1/pixels/{pixel_id}/audiences/insights"

    headers = {
        "Authorization": f"Bearer {access_token}"
    }

    params = {
        "event_name": event_name,
        "lookback_days": 30,
        "dimensions": ["age", "gender", "location", "interests"]
    }

    response = requests.get(url, headers=headers, params=params)
    return response.json()

Data Export and Reporting

Export Options

Quora Ads Manager:

Manual CSV exports
Scheduled email reports
Custom date ranges
Campaign, ad set, and ad-level data
Standard and custom metrics

API-Based Exports:

Real-time performance data
Historical data access (up to 2 years)
Custom aggregations
JSON format for pipelines
Bulk data retrieval

Data Warehouse Integration

BigQuery Integration:

from google.cloud import bigquery
import requests

def sync_quora_to_bigquery(access_token, campaign_ids, project_id, dataset_id):
    """Load Quora performance data to BigQuery"""

    # Fetch from Quora
    all_data = []
    for campaign_id in campaign_ids:
        data = get_campaign_performance(
            access_token,
            campaign_id,
            '2024-01-01',
            '2024-01-31'
        )
        all_data.extend(data['stats'])

    # Transform to BigQuery schema
    rows = []
    for stat in all_data:
        rows.append({
            'date': stat['date'],
            'campaign_id': stat['campaign_id'],
            'impressions': stat['impressions'],
            'clicks': stat['clicks'],
            'spend': stat['spend'],
            'conversions': stat['conversions'],
            'cpa': stat['cpa']
        })

    # Load to BigQuery
    client = bigquery.Client(project=project_id)
    table_id = f"{project_id}.{dataset_id}.quora_performance"

    errors = client.insert_rows_json(table_id, rows)
    if not errors:
        print(f"Loaded {len(rows)} rows to BigQuery")
    else:
        print(f"Errors: {errors}")

Common Integration Issues

Issue 1: Quora Pixel Not Firing

Symptoms:

Events not appearing in Quora Ads Manager
Audience sizes remaining at zero
No conversion data

Causes:

Pixel code not installed correctly
JavaScript errors blocking pixel
Content Security Policy (CSP) blocking Quora domain
Ad blockers preventing pixel load

Solutions:

Verify pixel installation:

// Check if Quora pixel loaded
console.log(typeof qp); // Should output 'function'

// Check pixel ID
qp('track', 'ViewContent');
// Open Network tab in DevTools and look for requests to a.quora.com

Add Quora to CSP whitelist:

<meta http-equiv="Content-Security-Policy" content="script-src 'self' https://a.quora.com; img-src 'self' https://q.quora.com">

Test with ad blockers disabled
Use Tag Assistant or similar debugging tool

Issue 2: Low Conversion Match Rates

Symptoms:

Conversions tracked in GA4 but not Quora
Event match quality warnings
Poor optimization performance

Causes:

Missing user data in conversion events
Third-party cookies blocked
Incorrect event parameter formatting

Solutions:

Include user data in Pixel events:

qp('track', 'Purchase', {
  'value': 99.99,
  'currency': 'USD',
  'email': 'user@example.com',  // Automatically hashed by Quora
  'phone': '+14155551234'
});

Implement Conversions API for server-side backup
Enable enhanced matching in Quora Ads Manager
Verify event parameter names match Quora specs

Issue 3: Attribution Discrepancies

Symptoms:

Quora shows more conversions than GA4
Conversion values don't match
Different conversion counts across platforms

Causes:

Attribution window differences (Quora: 7-day click, 1-day view)
View-through conversions included in Quora
Time zone differences
Different conversion counting methodologies

Solutions:

Compare like-for-like metrics:
- Quora click-through conversions vs GA4 Quora source conversions
- Align attribution windows where possible
Use consistent time zones (UTC recommended)
Accept 10-15% variance as normal
Focus on trends rather than exact numbers
Use Quora's data for Quora optimization, GA4 for overall analysis

Issue 4: Mobile App Attribution Issues

Symptoms:

App installs not attributing to Quora
In-app events not optimizing
Low match rates for app campaigns

Causes:

MMP integration not configured
Missing mobile identifiers (IDFA/GAID)
Attribution window too short
Deep linking not working

Solutions:

Verify MMP integration in both platforms
Test attribution flow:
- Click test ad on device
- Install app
- Check attribution appears in MMP and Quora within 24 hours
Extend attribution windows for app campaigns (14-30 days)
Test deep links with Branch Link Validator or AppsFlyer OneLink tester

Support and Resources

When to Contact Support

Quora Ads Support:

Pixel implementation issues
API access problems
Account access and billing
Campaign approval questions
Contact: ads-support@quora.com or via Ads Manager

Partner Support:

MMP integration issues (AppsFlyer, Adjust, Branch)
Analytics platform questions (GA4, Adobe, etc.)
CRM integration problems (Salesforce, HubSpot)

Additional Resources

Backlog & Opportunities

Explore Conversions API for cookieless tracking and improved iOS 14+ attribution
Evaluate question-level targeting optimization for higher intent traffic
Implement lead scoring integration with CRM for B2B campaigns
Test lookalike modeling from high-value customer segments
Build automated bidding based on CRM lifetime value data
Explore Quora's contextual targeting for privacy-first advertising
Integrate with customer data platforms (CDPs) for unified audience management
Develop cross-channel attribution model including Quora touchpoints