How to Collect Reddit Ads Data into Snowflake

Reddit has become a powerful paid acquisition channel for brands targeting engaged communities and niche audiences. But turning Reddit Ads performance into reliable, scalable analytics inside Snowflake is not always straightforward. Native UI reporting and CSV exports quickly break down once you need consistent KPI definitions, multi-channel comparisons, incremental refreshes, and revenue-backed attribution across campaigns and cohorts.

This guide shows how to send Reddit Ads data into Snowflake using OWOX Data Marts and shape it into governed, reusable data marts built for modern marketing analytics. Instead of relying on ad hoc exports or brittle custom scripts, you will create a scalable pipeline that supports automated ingestion, standardized metrics, cross-channel blending, and AI-driven insights - all powered by a single source of truth inside Snowflake.

What You’ll Build in This Guide

By the end of this guide, you will have:

• Automated Reddit Ads → Snowflake Ingestion - A scheduled pipeline that continuously syncs Reddit Ads campaign, ad group, ad, and daily performance data into your Snowflake environment using OWOX Data Marts.
• A Standardized Reddit Ads Data Mart - A modeled, governed reporting layer with consistent metrics, dimensions, and business logic reusable across dashboards, spreadsheets, and analytics teams.
• Attribution-Ready and Revenue-Ready Datasets - Structured tables that support CTR, CPC, CPM, CPA, ROAS, funnel analysis, and revenue-linked performance modeling when joined with CRM or order data.
• Cross-Channel Performance Views in Snowflake - Unified reporting structures that allow Reddit Ads data to be blended with Google Ads, Meta, and other paid channels using consistent schemas and KPI definitions.
• A Governed Reporting Layer for BI and Collaboration Tools - Curated Snowflake data marts that Google Sheets, Looker Studio, Tableau, Power BI, and AI workflows can query consistently and safely.
• A Scalable Foundation for Advanced Analytics and AI Monitoring - A structured approach you can extend to cohort analysis, LTV modeling, and AI-driven performance alerts while preserving standardized metric logic.

Throughout this tutorial, you will see how a Reddit Ads data mart inside Snowflake centralizes governance, standardizes KPI definitions, and simplifies downstream reporting, cross-channel analysis, and revenue attribution.

The high-level flow is:

1. Prepare Snowflake as your governed marketing data environment.
2. Connect Snowflake as a storage destination in OWOX Data Marts.
3. Authorize Reddit Ads and select accounts, entities, and metrics.
4. Run and schedule automated Reddit Ads data loads into Snowflake.
5. Create and publish a standardized Reddit Ads data mart.
6. Blend Reddit Ads data with CRM, web analytics, and revenue tables for funnel and ROAS analysis.
7. Reuse the modeled data mart for reporting, cross-channel comparison, and AI-driven insights.

Why Move Reddit Ads Data into Snowflake?

Reddit Ads can be highly effective for reaching niche communities and interest-based audiences. However, the platform’s reporting workflows are not designed for warehouse-centric analytics, long-term historical storage, or cross-source blending.

As reporting requirements mature, teams begin to experience friction:

• Repeated CSV exports to refresh spreadsheets or dashboards
• Copy and paste workflows that introduce silent filtering or date errors
• Different attribution windows and breakdowns across exports
• Multiple versions of CTR, CPC, CPA, and ROAS are calculated in separate tools
• Difficulty rebuilding historical data after campaign changes or tracking updates
• API scripts that break with schema or rate-limit changes

These patterns create operational overhead and reduce confidence in Reddit performance data during budgeting and optimization discussions.

Bringing Reddit Ads data into Snowflake as part of a governed marketing data layer solves this structurally.

It enables:

• Persistent historical storage at the daily campaign, ad group, and ad levels
• Incremental refresh with lookback windows to capture late conversions
• Simple SQL joins with web analytics, CRM, and order tables
• Reuse of the same dataset across BI tools, spreadsheets, and AI systems

Instead of treating Reddit as a siloed reporting source, it becomes a structured, queryable dataset inside your broader analytics architecture.

Why Not DIY ETL or Native Reddit Ads Reporting?

Reddit Ads reporting is designed primarily for campaign-level monitoring inside the platform UI. It works well for tracking spend, clicks, and conversions at a tactical level.

But once teams need structured warehouse analytics, historical reproducibility, and cross-channel comparisons, native exports and lightweight scripts begin to show limitations.

Common challenges include:

• Frequent CSV exports to refresh spreadsheets and dashboards
• Copy and paste workflows that introduce filtering or date errors
• Different attribution windows and breakdowns across exports
• Multiple versions of CTR, CPC, CPA, and ROAS are calculated in separate tools
• Limited historical flexibility when campaigns or tracking setups change
• API connectors or custom Python scripts that break due to rate limits, schema updates, or new fields

Basic API connectors or custom scripts can load Reddit Ads data into Snowflake, but raw tables alone do not produce trusted analytics. Without modeling, every analyst or BI tool must reinterpret the same fields and rebuild the same calculations independently.

The real challenge is not extraction. It is a standardizing campaign, ad group, creative, and performance data into reusable, business-ready datasets that teams can rely on consistently.

Why a Data Mart–First Approach Works Better

A governed Reddit Ads data mart inside Snowflake ensures:

• Standardized metric definitions for impressions, clicks, spend, conversions, revenue, CTR, CPC, CPM, CPA, and ROAS
• Consistent campaign, ad group, and ad hierarchies aligned across accounts and reporting views
• Clear separation between raw ingestion tables and curated analytics tables
• Centralized business logic so attribution rules and KPI formulas are defined once
• Reusable reporting views for BI tools, Google Sheets, and AI workflows

Instead of embedding metric logic across dashboards and spreadsheets, the Reddit Ads data mart centralizes definitions inside Snowflake. Dashboards, analysts, and AI systems all query the same curated layer, reducing discrepancies and eliminating duplicated transformation logic.

This approach transforms Reddit Ads data from a collection of exports into a structured, governed analytics asset that supports reliable reporting, cross-channel comparison, and advanced modeling inside Snowflake.

Architecture Overview: Reddit Ads to Snowflake

The Reddit Ads to Snowflake workflow follows three structured stages that separate ingestion, modeling, and reuse inside your analytics environment.

Extraction

• Reddit Ads campaign, ad group, creative, and daily performance data are retrieved through the Reddit Ads API on a scheduled basis via OWOX Data Marts.
• Authentication, pagination, rate limits, and retries are handled automatically.
• No custom scripts are required to maintain API connectivity.

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• Raw Reddit Ads data is loaded into Snowflake tables that mirror the Reddit Ads API structure.
• These tables preserve account, campaign, ad group, ad, and daily performance granularity.
• The raw layer prioritizes completeness and traceability for validation and historical reproducibility.

Re-Use and Modeling

• On top of raw tables, a curated Reddit Ads data mart standardizes metrics and aligns reporting hierarchies.
• Derived KPIs such as CTR, CPC, CPM, CPA, and ROAS are calculated consistently inside Snowflake.
• Reporting-ready fact and dimension tables are published for dashboards, spreadsheets, cross-channel blending, and AI-driven insights.

This layered architecture keeps ingestion separate from business logic and ensures Reddit Ads performance is modeled once and reused everywhere inside Snowflake.

What Data Lands in Snowflake

After the Reddit Ads connector runs, data lands in Snowflake in two structured layers: a raw ingestion layer that mirrors the Reddit Ads API structure, and a modeled Reddit Ads data mart designed for reporting, blending, and advanced analysis.

Understanding this separation is important. Raw tables preserve full account, campaign, ad group, and ad-level granularity for validation and traceability. The Reddit Ads data mart standardizes metrics and prepares data for reuse across dashboards, SQL queries, Google Sheets, BI tools, and AI workflows.

Raw Tables

These tables mirror the Reddit Ads API structure and typically include:

• Account metadata, such as account ID, time zone, and configuration details
• Campaign configuration, including objectives and status
• Ad group structure and bidding settings
• Ad-level metadata and creative identifiers
• Daily performance metrics such as impressions, clicks, spend, conversions, and revenue

Raw tables prioritize completeness and source fidelity. They preserve source-level granularity and are primarily used for validation, reconciliation with the Reddit Ads UI, and controlled transformation into curated reporting tables.

Data Marts (Analytics Layer)

On top of raw tables, the Reddit Ads data mart provides:

• Daily reporting of grain at campaign, ad group, or ad level
• Standardized metrics such as impressions, clicks, spend, CTR, CPC, CPM, CPA, and ROAS
• Consistent business logic for derived KPI calculations
• Normalized campaign, ad group, and ad hierarchies
• Reporting-ready fact and dimension tables aligned for cross-channel blending

This analytics layer becomes the stable foundation for performance dashboards, cross-channel comparisons, funnel analysis, revenue attribution, and AI-driven insights inside Snowflake.

Step 1: Connect Snowflake as Your Storage in OWOX Data Marts

The first step in your Reddit Ads → Snowflake pipeline is to configure Snowflake as your primary storage inside OWOX Data Marts. This connection is created once and reused across all data marts, including the one that will ingest Reddit Ads data.

Creating a Snowflake connection in OWOX Data Marts

First, you’ll tell OWOX how to reach your Snowflake account and which credentials to use.

1. Log in to OWOX Data Marts

• Go to https://www.owox.com/app-signup
•  Create a workspace if you don’t already have one.

2. Go to the data storages

•  In the OWOX Data Marts interface, open the Storages section
• Then click “+ new storage”.

3. Select Snowflake as the storage type

• From the list of available destinations, choose Snowflake.
• This opens the Snowflake configuration form, where you’ll enter connection parameters.

4. Enter Snowflake connection details

Provide the required connection parameters:

• Account Locator and Account Identifier (for example, mycompany-xy12345.eu-central-1)
• Warehouse Name (for example, WH_MARKETING_ANALYTICS)

These define where Reddit Ads raw data and data marts will be created.

5. Choose an authentication method

OWOX supports two authentication approaches:

•  Password-based (username + password)
•  Key-based (requires admin permissions)

Enter:

•  A Snowflake username (a dedicated technical user is recommended)
• The corresponding password or private key credentials
• Click ‘Save’

Using a dedicated technical user ensures controlled permissions and easier auditing.

Step 2: Create Reddit Ads Data Mart

With Snowflake connected, the next step is to create a Reddit Ads data mart inside OWOX Data Marts. This is where you authorize access, choose what accounts and fields to ingest, and publish a governed dataset in Snowflake that’s ready for reporting, blending, and automation.

Authorizing Reddit Ads and Choosing Accounts

OWOX uses Reddit’s authorization flow to securely connect to your ad accounts. You’ll need access to the relevant Reddit Business Center or ad accounts.

• In the OWOX UI, go to '+ New Data Mart'.
• Give the data mart a clear title, for example, 'Reddit Ads Performance Insights'.
• Select Snowflake as the Data Storage.
• Click 'Create Data Mart'.
  
  

Configure Data Mart

• Select 'Connector' as an 'Input Source'
• Choose 'Reddit Ads' as the 'Connector'

• ‍Authorize using OAuth (you'll be redirected to Reddit's login and permissions screen)

• Log in with a user that:

1. Has access to all Reddit Ads accounts you want to ingest.
2. Has read access to campaign and performance data.

• Add your Reddit Ads Account ID(s) and click Next.

• Select the performance API endpoint with the campaign, ad group, keyword, or ad-level data
• Click 'Next'

• Select the fields you want to collect – metrics such as impressions, clicks, cost, conversions, and conversion value.
• Click 'Next'

• Select your storage details like Database, Schema, and Table.
• You can keep the defaults – the table will be created automatically.
• Click 'Save'
• Then click 'Publish the Data Mart’

Selecting Reddit Entities and Defining the Reporting Model

When configuring the Reddit Ads data mart, you select the core entities and metrics that will power reporting inside Snowflake. The goal is not just to replicate API tables, but to define a governed analytics layer that reflects how your marketing team evaluates performance.

Typical Reddit Ads entities included in the model are:

• Campaign-level data
• Ad-level performance metrics
• Account attributes and campaign structure
• Daily performance records aligned to reporting grain

At the metric level, the data mart standardizes key Reddit KPIs such as:

• Impressions
• Clicks
• Spend
• Conversions
• Derived metrics such as CTR, CPC, CPM, CPA, and ROAS

By defining the reporting grain and KPI logic during configuration, you ensure that dashboards, Google Sheets, and downstream analytics tools query a consistent and reusable performance layer. This prevents metric drift across reports and establishes a stable foundation for performance and revenue analysis in later steps.

Common Pitfalls & Tips

• Ensure the Reddit Advertising account has proper access permissions for all accounts you plan to ingest.
• Confirm API authorization is granted for each required account before configuring the data mart.
• If account access changes or credentials are updated, re-authentication may be required in OWOX.
• Verify that the Snowflake technical user has sufficient privileges to create tables and views.

Addressing these items early prevents ingestion errors and avoids failed connector runs later in the setup process.

Run Your Connector

It’s time to do the first pull to confirm that data is flowing correctly. OWOX connects to the Reddit Ads API and lets you control what gets loaded into Snowflake.

• Click on the 'Manual Run' button
• You'll see two options: Incremental or Backfill

Historical backfill

You decide how far back to load data. Use Backfill if this is your first run, and select the historical window you need.

You can choose 3 days, 7 days, 365 days, or multiple years.

Recommendations:

• For an initial setup, 90 days is often a practical balance between historical context and load time.
• If migrating from another system, consider a full fiscal year if you rely on year-over-year comparisons.
• Be mindful of API rate limits and data volume, especially for large or MCC-managed accounts.

Incremental load

To handle late conversions and attribution updates, OWOX supports a rolling lookback window.

Example configuration:

• On every run:

1. Pull data for today + last 2 days.
2. Overwrite those days in Snowflake.

This ensures:

• Recent performance data remains accurate.
• You avoid reprocessing the entire historical dataset each time.

Scheduling

Reddit Ads data updates daily – and sometimes retroactively as conversions are attributed or adjusted. You’ll want to configure a schedule for ongoing updates and monitoring.

Go to the Triggers tab:

• Select Connector Run as a Trigger Type.
• Then configure Frequency:
  
  1. Daily (e.g., every night at 02:00) for most reporting needs.
  2. Intra-day (e.g., every 4 hours or every 15 minutes) if you need near-real-time visibility.
• Align the time zone with your business reporting timezone (for example, the Reddit Ads account timezone).
• Click ‘Create Trigger’ to activate the schedule.

Connector Meta Data

With OWOX Data Marts, you can document your Reddit Ads data mart to keep it organized and easier to manage over time.

Go to the Overview tab and add a clear Description that explains:

• What the Reddit Ads data mart contains (e.g., campaign, ad group, and keyword performance data)
• The reporting grain (daily reporting level across campaigns and keywords)
• Who owns or maintains the Reddit Ads reporting layer
• Any important modeling notes, such as KPI definitions or cross-channel alignment logic

This step is optional – but documenting your Reddit Ads data marts improves collaboration and makes long-term maintenance significantly easier.

Control

Go to the Run History tab to monitor every execution of your Reddit Ads data mart, covering both connectivity and data processing.

You can review:

• Run status (success, running, failed)
• Start and end time
• Execution duration
• Number of rows processed
• Error details (e.g., expired credentials, permission issues, API limits)

If a run fails, open the logs to identify the issue and re-run the connector after resolving it.

Data Marts Best Practices

When setting up a new Reddit Ads data mart, follow these simple rules:

• Start with a smaller subset (for example, one account or campaign) and a limited set of fields to validate structure and completeness.
• Add all active Reddit Ads accounts only after you confirm the configuration works as expected.
• Expand fields gradually using ‘+ Fields’ so your Snowflake schema updates cleanly.
• Add a clear description once setup is complete to document ownership and reporting scope

Step 3: Re-Use Reddit Ads Data Mart for Reporting

With your Reddit Ads data mart live in Snowflake, the next step is to make it the default reporting layer across spreadsheets, dashboards, and advanced analytics workflows.

Instead of exporting CSV files from Reddit Ads, every reporting tool should query the curated DM_REDDIT schema. This ensures consistent metrics and shared definitions across marketing, analytics, and leadership teams.

Connecting Google Sheets to the Reddit Ads Data Mart

Spreadsheets remain a core tool for performance teams. The goal is to keep Sheets, but eliminate manual exports and duplicated formulas.

Configure a Snowflake-connected Sheet

Use a Snowflake connector or an OWOX-powered destination to connect Google Sheets directly to:

• Database: OWOX_MARKETING
• Schema: DM_REDDIT
• Tables such as:
  
  1. DM_REDDIT_DAILY_CAMPAIGN_PERFORMANCE
  2. DM_REDDIT_DAILY_AD_PERFORMANCE

Grant a read-only Snowflake role with SELECT permissions on the DM_REDDIT schema.

Create a Reddit Ads Report in Google Sheets

Build a live query such as:

1SELECT
2 date,
3 campaign_name,
4 impressions,
5 clicks,
6 spend,
7 conversions,
8 cpc,
9 cpm,
10 cpa,
11 roas
12FROM DM_REDDIT_DAILY_CAMPAIGN_PERFORMANCE
13WHERE date >= CURRENT_DATE - 30
14ORDER BY date, campaign_name;

‍

Schedule refreshes daily or every few hours. Benefits:

• No CSV downloads
• No conflicting ROAS calculations
• One shared data source for all stakeholders

Connecting Looker Studio and Other BI Tools

Reddit dashboards should query the same governed data mart as Google Sheets.

Looker Studio

Connect directly to Snowflake using:

• Account/host
• Warehouse
• Database: OWOX_MARKETING
• Schema: DM_REDDIT

Use curated fact tables for:

• Campaign-level dashboards
• Creative performance analysis
• Device and geo breakdowns

Tableau, Power BI, and Other BI Platforms

All major BI tools provide native Snowflake connectors.

Point semantic layers to:

• DM_REDDIT_DAILY_CAMPAIGN_PERFORMANCE
• DM_REDDIT_DAILY_ADGROUP_PERFORMANCE
• DM_REDDIT_DAILY_AD_PERFORMANCE
• Dimension tables such as DM_REDDIT_DIM_CAMPAIGN

This makes Reddit Ads part of your governed enterprise reporting model rather than a standalone export.

Example Analytics Use Cases for Reddit Ads

Once Reddit Ads data is standardized in Snowflake, it becomes part of your broader marketing intelligence system.

1. Cross-Channel Performance Analysis

Combine Reddit with Google Ads, Meta, or other paid channels.

Standardize channel-level data marts into a unified performance view with:

• date
• channel
• impressions
• clicks
• spend
• conversions
• revenue

This enables:

• Budget allocation decisions
• Channel mix optimization
• Comparative ROAS and CPA benchmarking

2. Attribution and ROAS Analysis

Move beyond platform-reported conversions.

Join Reddit spend with:

• Web analytics sessions using UTMs
• CRM or user acquisition tables
• Orders or subscription revenue

Calculate:

• Click → Session → Signup funnel conversion rates
• Revenue-based ROAS
• CPA by campaign, device, geo, or audience

Attribution logic lives in Snowflake – not in disconnected dashboards.

3. LTV and Profitability Analysis

Evaluate Reddit as a long-term acquisition channel by joining:

• Reddit-acquired users
• Order or subscription revenue tables
• Cohort and retention data

Build:

• Cohort-based cumulative LTV curves
• LTV/CAC ratios
• Payback period analysis by campaign

Because the logic is centralized in DM_REDDIT, all analyses inherit the same definitions and data governance.

Step 4: Blend Reddit Ads with Other Channels and Revenue Data in Snowflake

With your Reddit Ads data mart standardized in Snowflake, the next step is to integrate it with other marketing and revenue datasets. This enables cross-channel performance comparison, revenue-based attribution, and long-term profitability analysis.

Because Reddit data already lives in curated DM_REDDIT tables, blending requires only SQL logic, not additional connectors or manual exports.

Cross-Channel Data Blending

To evaluate Reddit alongside other paid channels, normalize your daily performance data marts into a shared schema and union them into a unified view.

Common standard columns include:

• date
• channel
• campaign_name
• impressions
• clicks
• spend
• conversions
• revenue

Cross-Channel Daily Performance View

1SELECT
2  date,
3  'Reddit' AS channel,
4  campaign_name,
5  impressions,
6  clicks,
7  spend,
8  conversions,
9  revenue
10FROM DM_REDDIT_DAILY_CAMPAIGN_PERFORMANCE
11
12UNION ALL
13
14SELECT
15  date,
16  'Google Ads' AS channel,
17  campaign_name,
18  impressions,
19  clicks,
20  spend,
21  conversions,
22  revenue
23FROM DM_GOOGLE_DAILY_CAMPAIGN_PERFORMANCE;

‍

This unified view enables channel mix analysis, budget reallocation decisions, and comparative ROAS benchmarking across paid media sources.

Revenue Attribution and ROAS Analysis

Platform-reported conversions do not always reflect actual revenue. By joining Reddit spend with web analytics, user acquisition, and order tables, you can calculate revenue-backed ROAS and full-funnel performance metrics.

Typical join path:

• Reddit campaign → session via UTM
• Session → user
• User → order

Funnel Analysis from Click to Order

1SELECT
2  r.campaign_name,
3  COUNT(DISTINCT s.session_id) AS sessions,
4  COUNT(DISTINCT u.user_id) AS signups,
5  COUNT(DISTINCT o.order_id) AS orders,
6  SUM(o.revenue) AS revenue,
7  SUM(r.spend) AS spend,
8  SUM(o.revenue) / NULLIF(SUM(r.spend),0) AS roas
9FROM DM_REDDIT_DAILY_CAMPAIGN_PERFORMANCE r
10LEFT JOIN SESSIONS s
11  ON r.utm_campaign = s.utm_campaign
12LEFT JOIN USERS u
13  ON s.user_id = u.user_id
14LEFT JOIN ORDERS o
15  ON u.user_id = o.user_id
16GROUP BY r.campaign_name;

‍

This query enables full-funnel visibility and revenue-aligned performance analysis at the campaign level.

First-Touch ROAS by Campaign

1SELECT
2  ua.first_touch_campaign,
3  COUNT(DISTINCT ua.user_id) AS acquired_users,
4  SUM(o.revenue) AS revenue,
5  SUM(r.spend) AS spend,
6  SUM(o.revenue) / NULLIF(SUM(r.spend),0) AS first_touch_roas
7FROM USER_ACQUISITION ua
8JOIN ORDERS o
9  ON ua.user_id = o.user_id
10JOIN DM_REDDIT_DAILY_CAMPAIGN_PERFORMANCE r
11  ON ua.first_touch_campaign = r.campaign_name
12GROUP BY ua.first_touch_campaign;

‍

This approach ties acquisition campaigns directly to downstream revenue and lifetime value.

LTV and Profitability Analysis

To evaluate Reddit as a long-term acquisition channel, build cohort-based LTV curves, and compare revenue growth against acquisition cost.

Cohort LTV Curve by Acquisition Date

SELECT
  DATE_TRUNC('month', ua.acquisition_date) AS cohort_month,
  DATEDIFF('day', ua.acquisition_date, o.order_date) AS days_since_acquisition,
  SUM(o.revenue) AS revenue
FROM USER_ACQUISITION ua
JOIN ORDERS o
  ON ua.user_id = o.user_id
WHERE ua.channel = 'Reddit'
GROUP BY cohort_month, days_since_acquisition
ORDER BY cohort_month, days_since_acquisition;

‍

From this dataset, cumulative LTV curves and payback periods can be calculated to determine long-term profitability by Reddit campaign or audience segment.

Step 5: Activate AI Insights on Your Reddit Ads Data Mart

With your Reddit Ads data mart standardized in Snowflake, the next step is to activate AI Insights on top of curated Reddit tables in Snowflake.

AI Insights does not modify your Snowflake data. It reads from the data mart layer and produces interpretive summaries only. 

Instead of manually reviewing dashboards, your team receives structured insights derived from standardized Snowflake tables. This shifts your workflow from purely reactive reporting toward more proactive performance monitoring.

Configuring AI Insights

AI Insights should always query the curated data mart layer rather than raw ingestion tables.

Select the Reddit Ads data mart you’ve created earlier (or create a new one and use SQL as the input source). 

• Then go to the Insight tab.
• Add your prompt & hit Save & Run Insight. 

Designing Prompts

1. Frame the AI’s Role

Define the analytical responsibility clearly.

Examples:

• Act as a Reddit Ads performance analyst.
• Identify meaningful changes compared to recent performance baselines (for example, yesterday vs. trailing 7-day average).
• Highlight anomalies rather than routine fluctuations.
• Use clear comparison logic (e.g., day-over-day, week-over-week, or trailing averages) defined in the query itself when possible.

Clear role framing improves relevance and reduces noise.

2. Specify Focus Metrics

Define the KPIs that matter for Reddit:

• Spend
• Impressions
• Clicks
• CTR
• CPC
• CPA
• ROAS
• Conversion rate

You may configure thresholds such as:

• CPA increase above 25 percent
• ROAS drops above 20 percent
• Spend variance above 30 percent compared to the 7-day average

By defining thresholds and filters in your query or prompt, you control which changes are considered material and worth highlighting.

3. Provide Additional Business Context

Context improves interpretability. Examples:

• Include only campaigns above a minimum spend threshold.
• Exclude paused campaigns.
• Compare performance to the previous weekday.
• Focus only on conversion-optimized campaigns.

Business context prevents false positives and keeps outputs actionable.

4. Run it Once to See How it Goes

Just hit on “Save & Run Insight” and see how the insights might look like. 

5. Make Outputs Meaningful

Tweak the prompt to define how insights should be structured:

• Highlight the top positive and negative changes.
• Provide concise explanations.
• Suggest possible actions such as budget reallocation or creative review.
• Avoid listing raw metrics without interpretation.

The objective is decision-ready intelligence, not raw summaries.

Delivering Scheduled Insights into Slack, Microsoft Teams, and Email

AI Insights generate value when delivered on a configured schedule to the right stakeholders. Because AI Insights operates on top of governed Snowflake tables, every summary remains aligned with your standardized KPI definitions and business logic.

1. Configure Delivery Channels

Click on “Send & Schedule”, add a destination like Slack channels or DMs, Microsoft Teams chats, or simply add an email address of the stakeholder (s).

Click on “Create & Run report”. 

2. Tailor Frequency and Audience

Avoid alert fatigue by aligning monitoring cadence with how Reddit Ads performance is reviewed:

• Daily – high-level campaign performance summary and notable performance changes across spend, CTR, CPA, and ROAS
• Weekly – trend analysis across campaigns, audience segments, and devices
• Monthly – strategic performance summaries with cross-channel comparisons and revenue alignment

You can configure multiple AI insights on the same Reddit Ads data mart, each designed for a different stakeholder group:

• Channel managers – campaign-level spend changes, CPA shifts, and performance anomalies
• Marketing leadership – ROAS trends, budget pacing, and revenue-backed performance insights
• Analytics teams – validation checks, metric consistency monitoring, and unusual data fluctuations

By tailoring frequency and stakeholder scope, AI insights remain relevant, actionable, and aligned with your reporting governance model.

3. Refining Your AI Insight Configuration

Your AI insight configuration should evolve with your Reddit strategy. Regularly review:

• False positives
• Important changes that were not surfaced
• Threshold calibration
• Changing campaign objectives

Refine prompts and monitoring rules over time to improve signal quality and business relevance.

Start Centralizing Your Reddit Ads Data in Snowflake Today

You now have a clear blueprint to replace manual exports and disconnected Reddit Ads reporting with a governed, scalable workflow:

• Reddit Ads data continuously lands in Snowflake.
• A standardized, reusable data mart layer in OWOX owns metrics, joins, and naming conventions.
• Cross-channel analytics, revenue alignment, and AI-powered insights flow into the tools your teams already use.

This approach eliminates inconsistent CPA calculations, spreadsheet rework, and platform-level reporting limitations. Instead of rebuilding Reddit dashboards every month, you invest in a durable Reddit Ads → Snowflake → OWOX Data Marts architecture and reuse it across reporting, BI, and AI workflows.

And it does not require a long transformation project. With the prerequisites in place, you can:

• Connect Snowflake as your governed warehouse.
• Link Reddit Ads as a source.
• Publish your first curated Reddit Ads data mart.
• Start powering Sheets, dashboards, and AI monitoring, often in days, not weeks.

If you are ready to centralize your Reddit Ads data and enable trusted self-service analytics, you can start using OWOX Data Marts today.

Let your teams focus on creative testing, audience strategy, and performance optimization, not CSV exports, broken formulas, or conflicting metrics.