Lookbook
When to use which app, and how the apps connect.
Setup & Tracking
Connect your data first. Without these, the rest of the platform is empty.
Start here. Connect ad platforms (Meta, Google, TikTok…) and your shop so Adverfly can pull spend, creatives and orders.
Send your pixel & server-side conversions back to ad platforms via CAPI for better optimization.
Capture post-purchase signals (HDYHAU, NPS) directly on your site to enrich attribution and MMM.
Define your brand voice, colors and audience once — every AI app reads from here.
Upload reusable assets (images, videos, references) so Asset Studio and Agents can use them.
Understand the data
Day-to-day analytics — what happened, where, and to whom.
Your morning dashboard. KPIs across all channels in one view.
Drill into spend, ROAS and conversions by any breakdown (campaign, creative, geo…).
Compare creative performance, group by labels, preview ads.
See full customer paths across touchpoints — from first impression to purchase.
Find the best hours and weekdays to scale or pause budgets.
Performance by SKU — which products carry which channels.
Geographic heatmap of conversions and spend.
Cohort LTV by channel and segment — proves long-term channel value.
Build audiences by behavior (new vs returning, high-LTV, churn risk).
Causal measurement
From correlation to causation. Use these once you have clean tracking and a few weeks of data.
Configure attribution windows, exclusions and credit logic.
Spot launches and scaling events that move metrics — fast, no model required.
Run a geo-lift experiment to measure incrementality of a channel — gold standard.
Detect when creatives stop working and need replacement.
Bayesian MMM with saturation curves — for budget allocation across channels. Needs 6+ months of data.
Forecast future revenue or spend based on historical patterns.
AI & optimization
Let the platform suggest improvements based on what your data shows.
AI-generated angles for new creatives, based on your top performers.
Generate creative briefs and assets from your performance data + brand kit.
Predict an asset's performance before you spend.
Auto-label creatives so Insights and Reports can group them.
Inbox of AI suggestions (budget shifts, fatigue, new audiences) you can accept or dismiss.
Track how your brand shows up in ChatGPT, Claude, Gemini, Perplexity.
External context — news, search trends, competitor signals — feeds AI suggestions.
Correlate weather with performance; also a control variable in MMM.
Activation & export
Push your data and decisions back out to other tools.
Generate API keys to pull Adverfly data into your warehouse or BI.
Build & save reports with the AI report chat — share with the team.
Build UTM links and test that tracking fires correctly.
Discount popups, banners and spin-to-win on your site.
Configure email digests and notifications. Review what was sent.
People & operations
Manage the humans and agents that work with your data.
Track influencer campaigns and their attributed conversions.
Creator dashboard — share performance with external creators.
Points, tiers and rewards for repeat customers.
Manage multiple client workspaces from one place.
Configure AI agents that run autonomously on your workspace.
Rules and schedules — when X happens, do Y. Connects recommendations to action.
System & health
Make sure the platform itself is running cleanly.
Daily activity counts across every app — at-a-glance overview.
Check connection health, missing data, sync warnings.
Configure alerts for budget, ROAS, anomalies.
Chronological log of everything the platform did (model runs, automations, changes).
User roles, permissions and access controls.
Order is intentional — Setup first, MMM later. Reach out to team@adverfly.com if you're unsure where to start.