Overview

The Summary dashboard is your daily starting point in Adverfly. It provides a bird's-eye view of your entire marketing performance across all connected channels — ad spend, revenue, ROAS, conversions, and more — in one unified view.

Key Features

• KPI Overview: See your most important metrics (Spend, Revenue, ROAS, Conversions, CPA) at a glance with period-over-period comparisons
• Trend Charts: Visualize performance trends over time with interactive line and bar charts
• Channel Breakdown: Understand how each ad platform contributes to your overall results
• Funnel View: Track your full marketing funnel from impressions to conversions
• CVR Analysis: Monitor conversion rate trends across channels and campaigns
• Date Range Comparison: Compare current performance against previous periods to spot trends

How It Works

Summary pulls data from all your connected ad platforms and combines it with your pixel tracking data to give you a unified picture. Metrics are updated in near real-time as new data flows into Adverfly.

Use Cases

• Morning Check-in: Start your day by reviewing yesterday's performance across all channels
• Weekly Reporting: Use the date range selector to generate weekly performance summaries
• Anomaly Detection: Quickly spot drops or spikes in key metrics before they become problems
• Stakeholder Updates: Share a concise overview with team members or clients

Getting Started

1. Connect at least one ad platform in Integrations
2. Install the Adverfly tracking pixel on your website
3. Navigate to Summary to see your unified dashboard

Overview

Insights is the core analytics engine of Adverfly. It lets you break down your marketing data across multiple dimensions — campaigns, ad groups, ads, countries, devices, and more — with a powerful table interface that supports custom columns, filters, and drill-downs.

Key Features

• Multi-Dimensional Breakdowns: Slice your data by campaign, ad group, ad, country, device, placement, and custom dimensions
• Custom Columns: Add, remove, and reorder metric columns to focus on what matters most
• Tree Data View: Expand rows hierarchically — from campaign → ad group → ad — to understand performance at every level
• Inline Filters: Filter by platform, status, spend thresholds, or any metric
• Export: Copy your analysis as Markdown for use in AI tools (Claude, ChatGPT) or reports

How It Works

Insights queries your unified data layer (Sources V2) which combines ad platform data with pixel tracking events. The table engine handles aggregation, sorting, and filtering on the fly.

Use Cases

• Campaign Audit: Break down spend and ROAS by campaign to identify underperformers
• Creative Analysis: Drill into ad-level data to see which creatives drive the best results
• Geographic Performance: Break down by country or region to find your best-performing markets
• Device Optimization: Compare mobile vs. desktop performance to optimize bidding strategies

Getting Started

1. Open Insights from the sidebar
2. Select a date range and breakdown dimension
3. Customize your columns to focus on relevant metrics
4. Use filters to narrow down to specific campaigns or platforms

Overview

The Creatives app gives you a visual gallery of all your ad creatives across platforms, paired with performance data. See which images, videos, and copy variations drive the best results — and use AI labels to understand why.

Key Features

• Visual Gallery: Browse all your creatives as a grid with thumbnail previews of images and videos
• Performance Metrics: See spend, impressions, clicks, conversions, ROAS, and CPA for each creative
• AI Labels: Automatic labeling of creative attributes (colors, objects, emotions, text, style) powered by AI vision models
• Filtering & Sorting: Filter by label, platform, performance tier, or custom attributes
• Creative Preview: Click any creative to see a full-size preview with all associated metrics
• Cross-Platform View: Compare the same creative's performance across Meta, Google, TikTok, and more

How It Works

Adverfly pulls creative assets from your connected ad platforms and matches them with performance data. AI labeling runs automatically to tag each asset with visual attributes, enabling analysis like "Do creatives with people outperform product-only shots?"

Use Cases

• Winner Identification: Find your top-performing creatives by ROAS or conversion rate
• Label-Based Analysis: Discover which visual themes (e.g., lifestyle vs. product, warm vs. cool colors) correlate with better performance
• Fatigue Detection: Track how creative performance degrades over time
• Brief Creation: Use performance insights to inform new creative briefs

Getting Started

1. Connect your ad platforms in Integrations
2. Navigate to Creatives to see your creative library
3. Enable AI Labeling to automatically tag your assets
4. Sort by ROAS or conversions to find your top performers

Overview

Journeys visualizes the paths your customers take before converting. See which channels, campaigns, and touchpoints appear most frequently in conversion paths — and understand how they work together to drive results.

Key Features

• Linear Path Visualization: Horizontal channel flow showing the sequence of touchpoints in each conversion path
• Journey Detail Timeline: Click any path to expand a vertical timeline with timestamps, campaign names, and time between touchpoints
• Touchpoint Analysis: Understand how many touchpoints customers have before converting
• Channel Sequences: See which channel combinations drive the highest conversion rates
• Time-to-Convert: Analyze how long the average customer journey takes from first touch to conversion
• Assisted Conversions: Identify channels that assist in conversions but rarely get last-click credit

How It Works

Journeys reconstructs user paths from your pixel tracking data, stitching together sessions across channels using first-party identifiers. Each path shows the channel sequence with time elapsed between touchpoints, and you can expand any path to see the full timeline with campaign details.

Use Cases

• Attribution Understanding: See which channels typically start, assist, or close the deal
• Budget Justification: Prove the value of upper-funnel channels that assist but rarely convert directly
• Funnel Optimization: Identify common drop-off points in the customer journey
• Cross-Channel Strategy: Design marketing strategies based on the most effective channel sequences

Getting Started

1. Ensure your Adverfly pixel is installed with conversion tracking
2. Allow 2-4 weeks of data collection for meaningful journey insights
3. Open Journeys to explore the most common conversion paths

Overview

LTV analysis helps you understand the long-term value of customers acquired through different channels. Move beyond single-purchase ROAS to make decisions based on true customer lifetime value.

Key Features

• Channel LTV Comparison: Compare lifetime value across acquisition channels in a sortable table
• LTV Windows: Analyze LTV across 30-day, 60-day, 90-day, and 180-day windows
• Value Growth Charts: Visualize how customer value grows across LTV windows per channel
• LTV ROAS: See return on ad spend based on lifetime value, not just first-purchase revenue
• Per-Customer Metrics: Average LTV per customer by channel for efficient budget allocation

How It Works

LTV tracks customers from their first conversion through subsequent purchases, attributing total revenue back to the original acquisition channel. The channel-level table shows spend, conversions, new customers, and LTV values across multiple time windows.

Use Cases

• True ROI: Evaluate campaigns by 90-day or 180-day LTV instead of just first-purchase ROAS
• Budget Planning: Allocate budget to channels that attract the most valuable customers long-term
• Retention Analysis: Identify which acquisition sources produce the most loyal customers
• Seasonal Patterns: Discover if customers acquired during sales events have lower LTV than organic acquirers

Getting Started

1. Install the Adverfly pixel with conversion tracking
2. Allow 3-6 months of data for meaningful LTV insights
3. Open LTVs to explore channel-level lifetime value

Overview

Segments lets you create rule-based customer groups based on behavior, purchase history, demographics, and engagement patterns. Use segments to understand your audience and tailor your marketing strategy.

Key Features

• Rule-Based Builder: Create segments using an intuitive visual builder with AND logic
• Behavioral Dimensions: Segment by purchase frequency, average order value, last visit, device type, and more
• Segment Membership: View which customers belong to each segment and how segments overlap
• AI Suggestions: AI-generated segment ideas based on your data — accept to create instantly, dismiss, or expand the reasoning
• Real-Time Updates: Segments are computed dynamically as new data flows in
• CRUD Operations: Create, edit, and delete segments easily

How It Works

The segment builder lets you define rules based on available dimensions from your pixel tracking data. All rules are combined with AND logic — a customer must match every rule. Membership is computed on-the-fly against your customer base.

Use Cases

• High-Value Customers: Identify customers with AOV above a threshold for VIP treatment
• At-Risk Customers: Find customers who haven't purchased in 60+ days for re-engagement campaigns
• New vs. Returning: Compare behavior patterns between first-time and returning visitors
• Geographic Targeting: Create segments by region for localized campaigns

Getting Started

1. Open Segments from the sidebar
2. Click "Create Segment" to open the rule builder
3. Add conditions using available dimensions
4. Save your segment and monitor membership over time

Overview

The Hourly app gives you a granular view of your marketing performance broken down by hour of day and day of week. Understand when your campaigns perform best to optimize ad scheduling and budget allocation.

Key Features

• Hourly Bar Charts: Visualize conversions by hour of day with current vs. previous period comparison
• Peak Hour Detection: Instantly see your peak conversion hour and average conversions per hour
• Multi-Metric Support: Switch between spend, revenue, conversions, ROAS, and CPA
• Channel Filtering: Analyze hourly patterns for specific platforms or campaigns

How It Works

Hourly aggregates your pixel tracking events by hour and day, showing you when conversions and engagement peak. Data is displayed in your workspace timezone.

Use Cases

• Ad Scheduling: Identify peak conversion hours to focus ad delivery
• Dayparting: Reduce spend during low-performing hours to improve overall ROAS
• Staffing: Align customer service and live chat availability with peak traffic hours
• Campaign Launches: Choose optimal launch times based on historical engagement patterns

Getting Started

1. Open Hourly from the sidebar
2. Select a date range with sufficient data (7+ days recommended)
3. Review the hourly breakdown to identify peak performance windows

Overview

The Map app visualizes your marketing performance geographically. See where your customers, conversions, and revenue come from — displayed on an interactive map with heatmaps and regional breakdowns.

Key Features

• Country-Level Heatmap: Color-coded countries showing conversion density, revenue, or ROAS
• Cluster View: Zoom in to see clustered and individual conversion points
• Multi-Metric Views: Switch between revenue, conversions, sessions, ROAS, or CPA on the map
• Performance Comparison: Compare geographic performance across different time periods

How It Works

Map uses geolocation data from your pixel tracking to plot sessions, conversions, and revenue on an interactive map. Performance metrics are aggregated at the country level, with cluster views available at higher zoom levels.

Use Cases

• Market Expansion: Identify high-performing regions to inform expansion strategy
• Geo-Targeting: Optimize ad targeting based on geographic performance data
• Regional Budget Allocation: Allocate more budget to regions with higher ROAS
• Anomaly Detection: Spot unusual geographic patterns that may indicate tracking issues or market shifts

Getting Started

1. Ensure your Adverfly pixel is installed and tracking conversions
2. Open Map from the sidebar
3. Select a metric to visualize and explore regional performance

Overview

The Weather app correlates weather conditions — temperature, precipitation, sunshine — with your marketing performance. Discover how weather patterns affect consumer behavior and optimize campaigns accordingly.

Key Features

• Weather Overlay: See weather data alongside your performance metrics on the same timeline
• Correlation Analysis: Understand how temperature, rain, and sunshine impact conversions and revenue
• MMM Integration: Weather data is automatically used as a control variable in Marketing Mix Modeling
• Historical Data: Access weather history for your market regions
• Multi-Location: Track weather for multiple cities or regions

How It Works

Adverfly ingests daily weather data (temperature, precipitation, sunshine hours) from Open-Meteo for your configured locations. This data is displayed alongside your marketing metrics and automatically fed into MMM as an external control variable.

Use Cases

• Seasonal Planning: Understand how weather-driven demand changes affect your performance
• Campaign Timing: Launch campaigns when weather conditions favor your product category
• Attribution Clarity: Separate weather-driven revenue changes from campaign-driven ones using MMM
• Product Categories: Optimize ad spend for weather-sensitive products (outdoor, fashion, food delivery)

Getting Started

1. Open Weather from the sidebar
2. Configure your primary market locations
3. Review weather data overlaid on your performance metrics

Overview

The Trends app integrates Google Trends data directly into Adverfly. Track search interest for your brand, competitors, and industry keywords over time — and correlate trend shifts with your marketing performance.

Key Features

• Industry Trends: Pre-configured trending keywords for your industry vertical
• Custom Keywords: Add and manage your own keywords to track (brand terms, competitor names, product categories)
• AI-Suggested Keywords: Get AI-powered keyword suggestions based on your website domain
• Time Series Charts: Visualize search interest over time alongside your marketing metrics
• MMM Integration: Trend data feeds into Marketing Mix Modeling as a demand signal

How It Works

Adverfly fetches Google Trends data daily for your configured keywords. Data is stored in ClickHouse and displayed as time-series charts. Industry-level trends are pre-configured based on your workspace's industry setting.

Use Cases

• Demand Forecasting: Anticipate demand changes by monitoring search trends
• Competitor Monitoring: Track competitor brand interest over time
• Campaign Timing: Align campaign launches with rising search interest
• Seasonal Patterns: Identify recurring seasonal trends in your category

Getting Started

1. Open Trends from the sidebar
2. Select your industry for pre-configured keywords
3. Add custom keywords to track brand and competitor terms
4. Use AI suggestions to discover relevant keywords

Overview

Attribution lets you apply multi-touch attribution models to understand how different channels and touchpoints contribute to conversions. Move beyond last-click to see the full picture of your marketing effectiveness.

Key Features

• Five Attribution Models: Choose from Last Click, First Click, Linear, U-Shaped, or Total Impact
• Multi-Touch Paths: See the full sequence of touchpoints before each conversion
• Model Comparison: Compare how different attribution models allocate credit across channels
• Channel Contribution: Understand each channel's role as an introducer, influencer, or closer
• Exclusion Rules: Exclude specific channels or touchpoint types from attribution

How It Works

Attribution reconstructs user journeys from pixel tracking data, then applies your chosen model to distribute conversion credit across touchpoints. Each model uses different rules for how credit is split.

Attribution Models Explained

• Last Click: 100% credit to the final touchpoint before conversion
• First Click: 100% credit to the first touchpoint in the journey
• Linear: Equal credit distributed across all touchpoints
• U-Shaped: 40% to first touch, 40% to last touch, 20% split across middle touches
• Total Impact: Combines click and impression signals to measure incremental impact across all touchpoints

Use Cases

• Channel Valuation: Understand which channels truly drive conversions vs. assist
• Budget Allocation: Reallocate budget based on multi-touch attribution insights
• Upper-Funnel Justification: Prove the value of awareness channels that assist but rarely close
• Model Calibration: Use attribution alongside MMM for unified measurement

Getting Started

1. Ensure your pixel tracks all relevant touchpoints
2. Open Attribution and select a model
3. Review channel contributions and compare models
4. Use insights to inform budget decisions

Overview

Marketing Mix Modeling (MMM) measures the true incremental impact of every marketing channel using Bayesian statistics. Unlike click-based attribution, MMM considers both online and offline channels — including seasonality, weather, trends, and macroeconomic factors — to provide a complete picture of how your marketing mix drives revenue.

Key Features

• Revenue Decomposition: Waterfall chart showing how total revenue breaks down into base sales, seasonality, and each channel's contribution
• Historical ROI vs. Marginal ROI: Understand why a channel can be efficient overall but at its scaling limit
• Saturation Curves: Hill function curves showing diminishing returns for each channel, with your current operating point marked
• Budget Optimizer: Interactive sliders to simulate "what if" budget reallocation scenarios in real time
• Model Accuracy: R² and MAPE metrics to quantify model reliability
• Bayesian Time Series: 95% and 80% credible interval bands on revenue predictions
• Historical Run Comparison: Compare model results across different time periods
• 12-Week Forecast: Revenue forecast with confidence intervals

How It Works

MMM runs a Bayesian regression model (PyMC Marketing) on your aggregated weekly data. It separates organic demand from marketing-driven demand, then estimates each channel's contribution using logistic saturation functions. The model accounts for adstock (carry-over effects), seasonality, weather, and external factors.

Key Dashboard Sections

Contribution & Decomposition

The waterfall chart shows a step-by-step breakdown from organic base revenue through seasonality effects to each paid channel's contribution.

Efficiency & Marginal ROI

Side-by-side comparison of historical ROI (total return over total spend) with marginal ROI (what the next euro would generate). A channel with high historical ROI but low mROI is near saturation.

Saturation & Diminishing Returns

Each channel has its own S-curve showing the relationship between spend and response. The current spend level is marked as the operating point.

Budget Optimizer

Interactive sliders for each channel let you simulate budget reallocation. The summary shows total spend change, projected revenue delta, and the new Marketing Efficiency Ratio.

Use Cases

• Budget Planning: Make data-driven decisions about how to allocate budget across channels
• Channel Evaluation: Understand the true incremental value of each channel beyond click-based metrics
• Diminishing Returns: Identify channels that have hit saturation and where spend should be redirected
• Unified Measurement: Combine MMM with attribution and incrementality testing for triangulated insights

Getting Started

1. Connect your ad platforms and install the tracking pixel
2. Ensure at least 12 weeks of historical data
3. Contact your account manager to activate MMM for your workspace
4. Review model results and use the budget optimizer for planning

Overview

Geo-Testing enables controlled geographic experiments to measure the true causal impact of your marketing channels. By turning ads off in specific regions and comparing against control regions, you get definitive proof of whether a channel actually drives incremental revenue.

Key Features

• Full Test Lifecycle: Create, configure, launch, monitor, and conclude geo-lift tests from a single interface
• AI Test Designer: Get AI-powered recommendations for optimal test design — regions, duration, and expected statistical power
• Candidate Finder: Automatically identifies test-suitable regions based on your conversion data patterns
• Test-Twin Pairing: Matches test regions with statistically similar control regions for reliable results
• Power Analysis: Know in advance how long your test needs to run for statistically significant results
• Progress Monitoring: Track test progress in real time with confidence interval updates
• Auto-Conclusion: Tests automatically conclude when statistical significance is reached

How It Works

Geo-Testing works by creating holdout experiments: you stop advertising in specific geographic regions (test group) while continuing as normal in similar regions (control group). After the test period, the platform measures the difference in conversions between groups, isolating the causal effect of your advertising.

Test Lifecycle

1. Design: Choose channels, regions, and duration using the AI Test Designer
2. Launch: Pause ads in test regions (manual action in ad platforms)
3. Monitor: Watch real-time progress with daily lift estimates
4. Conclude: Get final results with confidence intervals and statistical significance
5. Calibrate: Feed results back into MMM for more accurate future models

Use Cases

• Prove Incrementality: Get causal evidence that a channel drives real revenue lift
• MMM Calibration: Use geo-test results as Bayesian priors to improve MMM accuracy
• Budget Justification: Provide leadership with scientific evidence for marketing investments
• Channel Assessment: Test whether turning off a channel would actually hurt revenue

Getting Started

1. Open Geo-Testing from the sidebar
2. Use the Candidate Finder to identify suitable test regions
3. Create a test using the AI Test Designer
4. Pause ads in the selected test regions
5. Monitor progress until the test reaches significance

Overview

Correlations helps you understand the relationship between events — creative launches, budget changes, scaling events — and their impact on your performance metrics. See how actions in one area ripple across your entire marketing stack.

Key Features

• Event Timeline: Visualize creative launches, budget changes, and platform events on a timeline
• Multi-Channel Matrix: See correlations between different channels and metrics
• Impact Analysis: Measure how specific events (new creative launch, budget increase) affected performance
• Statistical Significance: Understand which correlations are statistically meaningful vs. coincidental
• Cross-Channel Effects: Discover how scaling one channel affects performance in others

How It Works

Correlations tracks key events across your connected platforms — new ads going live, significant budget changes, creative pauses — and overlays them on your performance data to identify patterns and cause-effect relationships.

Use Cases

• Creative Impact: Measure how launching a new creative affected campaign-level ROAS
• Scaling Analysis: Understand how increasing budget on one channel impacts others
• Anomaly Root Cause: When performance dips, quickly identify which event likely caused it
• Strategy Validation: Confirm that strategic changes are having the expected effect

Getting Started

1. Connect your ad platforms in Integrations
2. Open Correlations from the sidebar
3. Review the event timeline alongside your performance metrics
4. Investigate specific events to understand their impact

Overview

Ad Fatigue detects when your ads are losing effectiveness due to overexposure. By tracking frequency, engagement rates, and performance degradation over time, it helps you know when to refresh creatives before wasting budget.

Key Features

• Fatigue Curves: Visualize how ad performance degrades as frequency increases
• Frequency Monitoring: Track impression frequency across campaigns and creatives
• Fatigue Alerts: Get notified when creatives approach or enter fatigue territory
• Creative Lifespan: Understand how long each creative stays effective before needing replacement
• Refresh Recommendations: AI-powered suggestions for when to rotate creatives

How It Works

Ad Fatigue analyzes the relationship between impression frequency and key performance metrics (CTR, CVR, CPA). As frequency rises, it detects the point where performance starts declining — your creative's fatigue threshold.

Use Cases

• Creative Rotation: Know exactly when to swap out fatigued creatives
• Budget Efficiency: Stop spending on creatives that have lost their edge
• Production Planning: Forecast creative refresh needs based on historical fatigue patterns
• Platform-Specific Insights: Understand how fatigue thresholds differ across Meta, Google, TikTok

Getting Started

1. Connect your ad platforms in Integrations
2. Open Ad Fatigue from the sidebar
3. Review fatigue curves for your active campaigns
4. Set up alerts for early fatigue detection

Overview

Recommendations delivers AI-powered optimization suggestions based on your marketing data. From budget reallocation to creative refreshes, each recommendation is backed by data and can be accepted, dismissed, or reviewed with notes.

Key Features

• Multi-Source Recommendations: AI analyzes data from MMM, pixel tracking, AI Visibility, and more to generate actionable recommendations
• Accept/Dismiss Workflow: Review each recommendation and choose to act on it or dismiss with a reason
• Outcome Tracking: After accepting a recommendation, track whether the predicted outcome materialized
• Performance Measurement: See the cumulative impact of accepted recommendations over time
• Review Notes: Add notes to recommendations for team collaboration
• Email Digests: Receive weekly digest emails with new recommendations
• Actionable Filter: Filter to show only recommendations you can act on right now

How It Works

The recommendation engine runs across multiple data sources in your workspace, identifying optimization opportunities. Each recommendation includes a description of what to do, why, expected impact, and the data source it's based on.

Recommendation Types

• Budget Reallocation: Suggestions to shift spend between channels based on MMM marginal ROI analysis
• Creative Refresh: Alerts when creatives show fatigue signals
• Channel Scaling: Opportunities to increase spend on channels below their saturation point
• Tracking Fixes: Issues detected in your pixel or integration setup
• AI Visibility: Actions to improve your brand presence in AI platforms

Use Cases

• Daily Optimization: Start your day by reviewing new recommendations
• Team Collaboration: Share recommendations with team members and add review notes
• Impact Reporting: Demonstrate the value of data-driven decisions with outcome tracking
• Proactive Management: Catch issues and opportunities before they affect your bottom line

Getting Started

1. Open Recommendations from the sidebar
2. Review pending recommendations sorted by impact
3. Accept recommendations you want to act on
4. Track outcomes over time to measure impact

Overview

AI Labeling uses computer vision and language models to automatically tag your ad creatives with visual and semantic attributes. Understand what makes your best-performing ads work — colors, objects, emotions, copy style, and more.

Key Features

• Automatic Tagging: AI vision models analyze your creatives and assign labels automatically
• Visual Attributes: Labels for colors, objects, people, scenes, text overlay, composition
• Semantic Categories: Higher-level labels like "lifestyle", "product-focused", "UGC-style", "testimonial"
• Performance Correlation: See which labels correlate with better performance metrics
• Custom Labels: Add your own labels to supplement AI-generated ones
• Multi-Provider: Labels generated by multiple AI models for comprehensive coverage

How It Works

When new creatives are detected from your connected ad platforms, Adverfly sends them to AI vision models for analysis. The resulting labels are stored alongside performance data, enabling you to filter and analyze creative performance by visual attributes.

Use Cases

• Creative Strategy: Discover which visual themes drive the best ROAS
• A/B Insights: Understand why certain creatives outperform others based on their visual elements
• Brief Generation: Use performance-by-label data to create data-driven creative briefs
• Trend Analysis: Track how effective visual styles change over time

Getting Started

1. Connect your ad platforms in Integrations
2. Open AI Labeling from the sidebar
3. Labels are generated automatically for your creatives
4. Use the Creatives app to filter and analyze by label

Overview

Marketing Angles groups your ads into thematic categories — like "social proof", "urgency", "benefit-led", "problem-solution" — and shows you which angles perform best. Combined with AI labeling, this gives you a strategic view of what messaging resonates with your audience.

Key Features

• Angle Classification: AI automatically classifies ads into marketing angle categories
• Performance by Angle: Compare ROAS, CPA, CTR, and conversion rate across different angles
• Channel × Angle Matrix: See which angles work best on which platforms
• Trend Analysis: Track how angle effectiveness changes over time
• Per-Channel Independence: Each channel can have its own dominant angle — not forced to be global

How It Works

Marketing Angles uses AI analysis of your ad copy, visuals, and landing pages to classify each ad into one or more marketing angles. Performance data is then aggregated by angle to reveal strategic insights.

Use Cases

• Creative Strategy: Double down on the angles that consistently drive the best results
• Channel Optimization: Use different messaging angles on different platforms based on data
• MMM Integration: Angle-level performance data feeds into Marketing Mix Modeling for channel-angle analysis
• Team Alignment: Give creative teams clear, data-backed direction on what messaging to produce

Getting Started

1. Connect your ad platforms in Integrations
2. Open Marketing Angles from the sidebar
3. Review angle classifications and performance metrics
4. Use insights to guide your next creative production cycle

Overview

Asset Studio uses your performance data, AI labels, and marketing angle insights to generate creative briefs. Instead of guessing what to produce next, get data-driven recommendations for new creative directions based on what has actually worked.

Key Features

• Data-Driven Briefs: AI generates creative briefs informed by your best-performing assets
• Performance Patterns: Identifies winning visual and messaging patterns from your creative library
• Channel-Specific: Generates briefs tailored to specific platforms and placements
• Angle Integration: Incorporates marketing angle performance data into brief recommendations
• MMM Context: Uses Marketing Mix Modeling data to focus briefs on channels with the most headroom

How It Works

Asset Studio analyzes your creative performance history — including AI labels, marketing angles, and channel metrics — to identify what works. It then uses AI to generate detailed creative briefs that combine your winning elements with fresh creative directions.

Use Cases

• Creative Production: Give your design team or agency data-backed briefs
• New Channel Launch: Generate briefs optimized for a platform you're expanding to
• Performance Recovery: When creative fatigue sets in, get fresh direction based on your data
• Scale Creative Output: Systematize creative ideation based on performance insights

Getting Started

1. Ensure you have AI Labeling and Marketing Angles enabled
2. Open Asset Studio from the sidebar
3. Select a channel and objective
4. Generate briefs based on your performance data

Overview

Asset Score lets you predict how well a creative asset will perform before you spend any budget on it. Upload an image or video, and the AI scores it based on patterns learned from your historical creative performance data.

Key Features

• Pre-Launch Scoring: Upload assets to get a predicted performance score before going live
• Performance Prediction: AI estimates likely CTR, engagement, and conversion potential
• Element Analysis: Understand which specific elements (colors, composition, text, faces) contribute to the score
• Improvement Suggestions: Get AI-powered suggestions for how to improve low-scoring assets
• Benchmark Comparison: See how your asset scores compare to your historical average

How It Works

Asset Score trains a predictive model on your historical creative performance data and AI labels. When you upload a new asset, it analyzes visual and semantic features and predicts performance based on patterns in your data.

Use Cases

• Creative Screening: Filter out low-potential creatives before spending budget
• A/B Test Prioritization: Prioritize testing the highest-scored variants
• Agency Evaluation: Score creative submissions from agencies before accepting
• Budget Optimization: Focus spend on assets with the highest predicted performance

Getting Started

1. Ensure you have sufficient historical creative data (50+ assets with performance data)
2. Enable AI Labeling to build the scoring model
3. Open Asset Score and upload assets for scoring

Overview

AI Visibility tracks how often your brand appears in AI-generated responses on platforms like ChatGPT, Claude, Gemini, and Perplexity. As consumers increasingly use AI assistants for product research, understanding your brand's visibility in AI responses is becoming critical.

Key Features

• Visibility Score (0-100): A composite score measuring your brand's overall presence in AI responses
• Mention Rate: Percentage of relevant queries where your brand is mentioned
• Citation Rate: How often AI responses link to or cite your brand
• Sentiment Analysis: Whether your brand mentions are positive, neutral, or negative
• Multi-Provider Tracking: Monitor visibility across ChatGPT, Claude, Gemini, and Perplexity
• Custom Prompts: Define custom queries to track specific product categories or use cases
• AI-Suggested Prompts: Get AI-powered suggestions for relevant prompts to monitor
• Score Over Time: Track visibility trends to measure the impact of your efforts

How It Works

Adverfly periodically queries major AI platforms with relevant prompts for your industry and brand. The responses are analyzed to detect brand mentions, citations, sentiment, and positioning. Results are aggregated into scores tracked over time.

Use Cases

• Brand Monitoring: Understand how AI platforms represent your brand to potential customers
• Competitive Intelligence: Compare your AI visibility against competitors
• Content Strategy: Identify gaps where your brand is not mentioned and create content to fill them
• SEO Evolution: Complement traditional SEO with AI optimization (AIO) strategies

Getting Started

1. Open AI Visibility from the sidebar
2. Configure your brand name and relevant product categories
3. Add custom prompts or use AI-suggested ones
4. Monitor your visibility scores over time

Overview

Forecasting uses AI and statistical models to predict your future marketing performance. Plan budgets, set targets, and anticipate seasonal changes with confidence-interval-backed projections.

Key Features

• Revenue Forecasting: Predict future revenue with 80% and 95% confidence intervals
• Seasonal Decomposition: Automatically accounts for weekly, monthly, and yearly seasonality
• Multi-Channel Projections: Forecast performance per channel or across your entire marketing mix
• Scenario Modeling: Test different budget scenarios and see their projected outcomes
• External Factors: Incorporates weather, trends, and calendar events into forecasts
• Accuracy Tracking: Historical forecast accuracy metrics to build confidence

How It Works

Forecasting combines Bayesian time-series models with your historical performance data, seasonal patterns, and external signals (weather, trends, calendar events) to produce probabilistic forecasts with confidence intervals.

Use Cases

• Budget Planning: Set realistic monthly and quarterly budget targets
• Goal Setting: Define KPI targets grounded in statistical projections
• Seasonal Preparation: Anticipate and prepare for seasonal demand changes
• Risk Assessment: Understand the range of possible outcomes, not just the expected value

Getting Started

1. Ensure at least 12 weeks of historical data
2. Open Forecasting from the sidebar
3. Select a metric and time horizon
4. Review forecasts with confidence intervals

Overview

Agents lets you configure AI-powered autonomous agents that can monitor, analyze, and act on your marketing data. From budget adjustments to creative management, agents execute predefined strategies based on real-time performance signals.

Key Features

• Agent Configuration: Define agent goals, constraints, and permitted actions
• Real-Time Monitoring: Agents continuously monitor performance data for actionable signals
• Approval Workflows: Configure agents to require human approval or act autonomously within defined bounds
• Action History: Full audit trail of every action an agent takes or proposes
• Multi-Agent Support: Run multiple specialized agents for different aspects of your marketing

How It Works

Each agent operates within defined boundaries — monitoring specific metrics, evaluating against thresholds, and executing or proposing actions. You control the level of autonomy: from fully manual (agent proposes, you approve) to autonomous (agent acts within budget limits).

Use Cases

• Budget Management: Agents that automatically shift budget between campaigns based on performance
• Creative Rotation: Agents that pause fatigued creatives and activate new ones
• Anomaly Response: Agents that detect performance anomalies and take corrective action
• Scaling: Agents that identify scaling opportunities and adjust bids or budgets

Getting Started

1. Open Agents from the sidebar
2. Create a new agent with a specific objective
3. Define the agent's permitted actions and constraints
4. Set the approval workflow (manual or autonomous)
5. Activate the agent and monitor its actions

Overview

Surveys lets you create post-purchase and on-site surveys to gather direct customer feedback. Ask customers how they discovered your brand, what influenced their purchase, and what their experience was like — all captured through the Adverfly pixel.

Key Features

• Survey Builder: Create custom surveys with multiple question types (single choice, multiple choice, open text)
• Post-Purchase Surveys: Trigger surveys after a conversion event (e.g., "How did you hear about us?")
• On-Site Surveys: Display surveys on your website at configurable trigger points
• Response Analytics: Analyze survey responses with charts and breakdowns
• Attribution Enrichment: Use "How did you hear about us?" responses to enrich attribution data
• Customer ID Linking: Link survey responses to customer profiles and transactions

How It Works

Surveys are embedded on your website via the Adverfly pixel (v2). When triggered, they display as a non-intrusive widget. Responses are captured as pixel events and stored alongside your marketing data, enabling correlation with acquisition channels and campaign performance.

Use Cases

• Attribution Surveys: Ask "How did you hear about us?" to capture self-reported attribution data
• NPS/Satisfaction: Measure customer satisfaction after purchase
• Product Feedback: Gather feedback on specific products or experiences
• Dark Social Attribution: Capture channels like podcasts, word-of-mouth, and influencer mentions that don't show up in analytics

Getting Started

1. Open Surveys from the sidebar
2. Create a new survey with your questions
3. Configure trigger conditions (post-purchase, on-page, etc.)
4. The survey automatically deploys via your Adverfly pixel
5. Monitor responses in the analytics dashboard

Overview

The Influencers app helps you manage influencer partnerships and track their performance alongside your paid marketing channels. Assign unique tracking links, measure conversions, and calculate true ROI for each influencer collaboration.

Key Features

• Influencer Profiles: Manage your influencer roster with contact info, platforms, and collaboration history
• Tracking Links: Generate unique UTM-tagged links for each influencer
• Performance Tracking: See impressions, clicks, conversions, and revenue attributed to each influencer
• ROI Calculation: Compare influencer cost vs. generated revenue
• Cross-Channel Integration: View influencer performance alongside paid channel data in Insights

How It Works

Each influencer gets a unique tracking link with UTM parameters. When customers click these links and convert, the Adverfly pixel captures the attribution data. Performance metrics are then aggregated per influencer for easy comparison.

Use Cases

• Campaign Tracking: Measure the exact ROI of each influencer collaboration
• Partner Selection: Compare influencer performance to identify your best partners
• Budget Allocation: Decide how much to invest in influencer marketing vs. paid channels
• Attribution: Capture influencer-driven conversions that would otherwise be attributed to direct/organic

Getting Started

1. Open Influencers from the sidebar
2. Add your influencer partners
3. Generate unique tracking links for each collaboration
4. Share links with influencers and track performance

Overview

The News app aggregates industry-relevant news from global sources and correlates it with your marketing performance. Understand how external events — competitor launches, industry shifts, market trends — affect your business.

Key Features

• Industry News Feed: Curated news articles relevant to your industry vertical
• Event Timeline: News events plotted on a timeline alongside your performance data
• Impact Correlation: See how specific news events correlate with performance changes
• MMM Integration: News event data feeds into Marketing Mix Modeling as an external factor
• Custom Filters: Filter by topic, source, sentiment, or relevance

How It Works

Adverfly ingests news data from global sources (GDELT) filtered by your industry and relevant keywords. News events are stored as time-series data and displayed alongside your marketing metrics, enabling you to spot correlations between external events and performance shifts.

Use Cases

• Context for Performance Changes: Explain sudden performance shifts with relevant news events
• Competitor Monitoring: Track competitor news and correlate with your market share
• Seasonal Awareness: Stay ahead of industry events that affect consumer behavior
• MMM Accuracy: Improve model accuracy by accounting for external news events

Getting Started

1. Configure your industry in workspace settings
2. Open News from the sidebar
3. Browse industry news and correlate with your performance data

Overview

The Loyalty app lets you create and manage customer loyalty programs directly within Adverfly. Design point systems, membership tiers, and reward structures to increase customer retention and lifetime value.

Key Features

• Points System: Award points for purchases, referrals, reviews, and custom actions
• Tiered Membership: Create membership tiers (Bronze, Silver, Gold, Platinum) with escalating benefits
• Reward Catalog: Define rewards that customers can redeem with their points
• Loyalty Analytics: Track enrollment rates, point usage, tier distribution, and program ROI
• Integration with LTV: Correlate loyalty membership with customer lifetime value

How It Works

The loyalty program integrates with your Adverfly pixel to automatically track qualifying actions (purchases, referrals). Points are awarded based on your configured rules, and customers can advance through tiers based on cumulative activity.

Use Cases

• Retention: Increase repeat purchase rates with a compelling loyalty program
• Customer Value: Incentivize high-value behaviors like referrals and reviews
• Competitive Advantage: Differentiate with a rewards program that keeps customers coming back
• Data Enrichment: Use loyalty data to enrich customer profiles and improve segmentation

Getting Started

1. Open Loyalty from the sidebar
2. Configure your points structure and earning rules
3. Define membership tiers and their benefits
4. Create a reward catalog
5. Launch your loyalty program

Overview

Integrations is your central hub for connecting ad platforms, analytics tools, and data sources to Adverfly. A single setup process brings all your marketing data into one unified dashboard.

Supported Platforms

Ad Platforms

• Meta (Facebook & Instagram Ads)
• Google Ads (Search, Display, Shopping, YouTube, PMax)
• TikTok Ads
• Snapchat Ads
• Pinterest Ads
• Microsoft/Bing Ads
• Spotify Ads
• Taboola
• Outbrain

AI Visibility

• Perplexity (API key authentication)

Other

• Custom Channels (manual data import)

Key Features

• OAuth Connection: Secure, one-click connection to ad platforms via OAuth
• API Key Auth: Some integrations (like Perplexity) use API key authentication instead of OAuth
• Data Sync: Automatic daily data synchronization with all connected platforms
• Connection Health: Monitor connection status and get alerts for sync issues
• Multi-Account: Connect multiple ad accounts from the same platform
• Custom Channels: Import data from platforms not natively supported

How It Works

When you connect a platform, Adverfly uses OAuth (or API key for supported platforms) to securely access your ad account data. Daily sync jobs pull performance metrics (spend, impressions, clicks, conversions), campaign structure, and creative assets into your workspace.

Getting Started

1. Open Integrations from the sidebar
2. Click on the platform you want to connect
3. Authorize Adverfly via OAuth (or enter your API key)
4. Select the ad accounts you want to import
5. Data syncing begins automatically

Overview

Data Bridge is a one-click CAPI (Conversions API) sync that sends your conversion events back to ad platforms. This improves ad platform optimization by giving them richer, server-side conversion data.

Supported Platforms

Key Features

• One-Click Setup: Enable server-side event forwarding with a single toggle
• Event Deduplication: Automatic dedup to prevent double-counting with browser-side pixels
• Batched Sync: Events are sent every 15 minutes, plus a daily sync at end of day
• Click ID Matching: Automatically captures and matches platform click IDs (fbclid, gclid, ttclid, msclkid, etc.)
• Delivery Status: Monitor event delivery rates and error logs per platform

How It Works

When Data Bridge is enabled, Adverfly captures conversion events via the tracking pixel and forwards them server-side to the configured ad platforms using their Conversions APIs. This bypasses browser limitations (ad blockers, cookie restrictions) and improves match rates.

Use Cases

• Improved Attribution: Give ad platforms richer conversion data for better campaign optimization
• Higher Match Rates: Server-side events have higher user match rates than browser pixels alone
• Ad Blocker Recovery: Capture events that browser-side pixels miss due to ad blockers
• Privacy Compliance: Server-side event sending gives you more control over data flow

Getting Started

1. Open Workspace Settings > Data Bridge
2. Toggle on the platforms you want to enable
3. Enter the required credentials (Pixel ID, Pixel Code, etc.)
4. Conversions will begin syncing within 15 minutes

Overview

Data Exports lets you generate API credentials to access your Adverfly data programmatically. Create API keys, manage access, and use the built-in documentation to query events, sessions, conversions, and ad performance data via the REST API.

Key Features

• API Key Management: Generate, name, and revoke API credentials
• Client Secret Security: Client secrets are shown only once at creation — download or copy immediately
• Built-In API Docs: View available endpoints, parameters, and example requests directly in the app
• Multiple Keys: Create multiple API keys for different use cases or team members

Available API Endpoints

All endpoints use the base URL https://api.adverfly.com with header authentication:

Authentication

Every request requires two headers:

• x-api-key — Your API key
• client-secret — Your client secret

Common Parameters

How It Works

When you create an API key, Adverfly generates a key pair (API key + client secret). The key inherits your workspace permissions, allowing programmatic access to the same data you see in the dashboard. Use the credentials in your scripts, data pipelines, or BI tools to query Adverfly data.

Use Cases

• Data Pipelines: Pull data into your data warehouse or BI tools
• Custom Dashboards: Build custom visualizations with your own tools
• Automated Reporting: Schedule scripts to pull and format data automatically
• Third-Party Integrations: Connect Adverfly data to tools not natively supported

Getting Started

1. Open Data Exports from the sidebar
2. Click Create API Key
3. Name your key and confirm
4. Copy or download the client secret immediately (it will not be shown again)
5. Use the API key and client secret in your HTTP requests

Overview

Custom Reports gives you full flexibility to build custom queries and visualizations against your marketing data. Select metrics, define formulas, choose visualization types, and save reports for repeated use.

Key Features

• Schema-Driven Builder: Browse available metrics and dimensions from a structured schema
• Custom Formulas: Create calculated metrics using formulas (e.g., custom ROAS definitions)
• Visualization Picker: Choose from tables, bar charts, line charts, pie charts, and more
• AI Report Chat: Describe what you want in natural language and let AI build the report for you
• Save & Reuse: Save report configurations and re-run them with different date ranges
• Dynamic Rendering: Reports update in real-time as you adjust parameters

How It Works

The report builder connects to your Adverfly data warehouse. Select dimensions (campaign, channel, date), metrics (spend, revenue, conversions), and optionally define custom formulas. Choose a visualization type and the report renders instantly.

Use Cases

• Custom KPIs: Track non-standard metrics specific to your business
• Ad-Hoc Analysis: Answer one-off questions about your data without exporting
• Executive Dashboards: Build focused reports for leadership reviews
• AI-Powered Queries: Ask questions like "Show me ROAS by channel for the last 30 days" and get instant reports

Getting Started

1. Open Custom Reports from the sidebar
2. Click "Create New Report"
3. Select your metrics, dimensions, and visualization type
4. Or use Report Chat to describe what you want in natural language
5. Save the report for future use

Overview

The UTM Builder lets you create properly tagged tracking URLs with UTM parameters and Adverfly-specific parameters. Build, test, and validate your tracking links before sharing them — ensuring clean data from the start.

Key Features

• URL Builder: Fill in UTM parameters (source, medium, campaign, content, term) with a visual form
• Adverfly Parameters: Add Adverfly-specific tracking parameters for enhanced attribution
• URL Preview: See the generated URL in real time as you fill in parameters
• Validation: Automatic validation of parameter values and URL structure
• Simulator: Test your tracking URL to verify the pixel captures parameters correctly
• Copy & Share: One-click copy of the generated URL

UTM Parameters

Use Cases

• Influencer Links: Generate unique tracking URLs for each influencer partner
• Email Campaigns: Tag links in email newsletters for accurate attribution
• Organic Social: Track clicks from organic social media posts
• QR Codes: Create trackable URLs for offline-to-online campaigns

Getting Started

1. Open UTM Builder from the sidebar
2. Enter your destination URL
3. Fill in UTM parameters
4. Copy the generated URL and use it in your campaigns
5. Use the simulator to verify tracking works correctly

Overview

The Library is your central media repository in Adverfly. Upload images, videos, and documents to use across features like Asset Studio, AI Labeling, and Agents. All assets are stored securely and organized for easy access.

Key Features

• File Upload: Upload images, videos, and documents via drag-and-drop or file picker
• Asset Organization: Browse and search your media library
• Preview: View full-size previews of images and videos
• Cross-Feature Integration: Assets from Library are available in Asset Studio, Agents, and other features
• Secure Storage: All files are stored securely in AWS S3

Supported Formats

• Images: JPG, PNG, WebP, GIF, SVG
• Videos: MP4, MOV, WebM
• Documents: PDF, CSV

Use Cases

• Creative Assets: Store your ad creatives for AI analysis and scoring
• Brand Guidelines: Upload brand assets and guidelines for AI agents to reference
• Report Assets: Store charts, screenshots, and visuals for custom reports
• Team Sharing: Share media assets across your workspace team

Getting Started

1. Open Library from the sidebar
2. Upload files via drag-and-drop or the upload button
3. Browse and search your asset library
4. Use assets in other features like Asset Studio or Agents

Overview

Health Center is your system monitoring dashboard. It tracks the status of all your data connections, pixel tracking, and integrations — alerting you to any issues that could affect your data quality.

Key Features

• Connection Status: At-a-glance view of all connected platform sync statuses
• Pixel Health: Monitor whether your tracking pixel is firing correctly
• Data Freshness: See when each data source was last synced
• Error Logs: Detailed logs for any sync failures or connection issues
• Automated Alerts: Get notified when connections break or data goes stale
• Resolution Guides: Step-by-step instructions to fix common issues

How It Works

Health Center continuously monitors your data pipeline — from pixel tracking on your website, through data ingestion, to ad platform API connections. When something breaks or degrades, it flags the issue with context and suggested fixes.

Monitored Components

• Ad Platform Connections: OAuth token validity, API rate limits, sync status
• Pixel Tracking: Event firing rate, error rate, last event timestamp
• Data Pipeline: Ingestion latency, processing errors, data completeness
• Integration Health: Third-party connection status

Use Cases

• Proactive Monitoring: Catch data issues before they affect your analytics
• Troubleshooting: Quickly diagnose why metrics look wrong
• Onboarding Verification: Confirm that all connections are working after initial setup
• Team Visibility: Give your team a shared view of system health

Getting Started

1. Open Health Center from the sidebar
2. Review the status of all connected platforms
3. Address any flagged issues using the resolution guides
4. Set up alert notifications for your team

Overview

Automations gives you a complete overview of all system schedules, background tasks, and agent automations in your workspace. Toggle tasks on or off, configure schedules, and trigger manual runs.

Key Features

• Configurable Schedules: Toggle automated tasks on or off and configure their run times
• Manual Triggers: Manually trigger any scheduled task for on-demand execution
• Agent Scheduling: Configure agents with custom system prompts and daily execution times
• Background Task Overview: View all background system tasks and their schedules
• Last Run Status: See when each task last ran and its current status

Configurable Schedules

These tasks can be toggled, scheduled, and manually triggered:

Background System Tasks

These tasks run automatically and are view-only:

• Data Sync: API extraction, asset extraction, event dispatch, backfill
• Context Data: Weather, Google Trends, News & Events, Calendar events, Macro economics

Agent Automations

Configure AI agents to run on a daily schedule with custom system prompts. Each agent can be individually toggled and assigned a specific execution time.

AI & Background Settings

Additional automation toggles are available in Workspace Settings > AI:

• Auto-Label Creatives (every 15 min)
• Auto-Generate Marketing Angles (every 15 min)
• Daily Recommendations (daily at 08:00)
• AI Categories (every 3 hours)
• Event Dispatch (always on)
• MMM Data Export (daily at 05:00)

Getting Started

1. Open Automations from the sidebar
2. Review the list of configurable schedules and their status
3. Toggle tasks on or off as needed
4. Use manual triggers for on-demand execution

Overview

Cortex is the central command center of Adverfly. It provides a unified, intelligent interface where all your apps, insights, recommendations, and system status converge into a single operational view.

Key Features

• Unified Dashboard: See highlights from all your active apps in one place
• AI-Powered Insights: Cortex surfaces the most important insights across your workspace
• Quick Actions: Execute common tasks without navigating to individual apps
• System Overview: Monitor the health and status of all connected systems
• Smart Navigation: Quickly jump to any app or feature from the command center
• Priority Queue: Recommendations and actions ranked by impact and urgency

How It Works

Cortex aggregates signals from every app in your workspace — performance data from Insights, recommendations from the AI engine, system status from Health Center, and alerts from monitoring — presenting the most important information in a prioritized, actionable format.

Use Cases

• Morning Briefing: Start your day with Cortex for a complete picture of what needs attention
• Quick Decision Making: Act on high-priority recommendations without context switching
• Team Coordination: Use Cortex as a shared operational view for your marketing team
• System Oversight: Monitor all automated processes and integrations from one screen

Getting Started

1. Navigate to Cortex from the sidebar
2. Review the prioritized insights and recommendations
3. Use quick actions to address high-priority items
4. Explore individual apps for deeper analysis