Ad Creatives Analysis
Creative
Evaluate creative performance across images, videos, headlines and messaging.
Overview
Ad creatives analysis is the workflow for understanding why some ads perform and others do not. It brings your image, video, headline and body-copy assets together in one view, then attributes performance to the specific creative elements driving it — so you can move budget towards what resonates and retire what does not. Rather than reading isolated campaign totals, you evaluate the creative layer directly: which thumbnail earns the click, which headline lifts click-through rate, which video hook holds attention past the first three seconds.
The outcome is a ranked, evidence-backed picture of creative performance across every active ad, paired with concrete recommendations. OpenAds analyses the data, surfaces winners and fatiguing assets, and drafts proposed actions — pausing weak creatives, reallocating spend, or flagging variants worth refreshing. Nothing changes in your account until you approve. You end with a clear read on what your audience responds to and a prepared set of optimisations ready to execute.
When to use it
Reach for this workflow whenever creative — not targeting or bidding — is the likely lever. It is most valuable when performance has plateaued or a launch has produced a mix of results you need to interpret.
Click-through rate is falling while impressions hold steady, suggesting creative fatigue.
You have launched several creative variants and need to identify the clear winners.
Cost per acquisition is rising and you suspect the ad, not the offer, is the cause.
Before scaling budget, to confirm the creative can carry higher spend.
During a periodic review of headlines, messaging and visual assets across accounts.
Example prompts
"Rank all active creatives in my search campaigns by click-through rate over the last 30 days."
"Which video ads lose the most viewers in the first three seconds?"
"Compare headline performance across my responsive search ads and flag the weakest two."
"Show me creatives with rising cost per conversion and a spend above ₹50,000 this month."
"Identify fatiguing image ads where CTR has dropped more than 20 per cent week on week."
"Propose which creatives to pause and where to move the freed ₹1,20,000 in budget."
"Summarise the top three messaging angles by conversion rate across all campaigns."
What OpenAds prepares vs what you approve
OpenAds handles the analysis and the proposal; you hold the approval and trigger the execution. It gathers creative-level data, ranks and segments performance, detects fatigue and drafts a set of recommended actions — for example, "pause these three underperforming image ads and reallocate ₹80,000 to the top-performing video." That proposal arrives complete with the evidence behind it, but it is never applied automatically. You review each recommendation, adjust or reject as you see fit, and approve only what you want. Execution against the live ad account happens after your sign-off. This separation of analysis, proposal, approval and execution keeps a human in control of every change that touches spend.
What to look at
Signal What it tells you Watch for Click-through rate (CTR) How compelling the creative is at driving clicks Steady decline signalling fatigue Conversion rate Whether the click-through audience acts High CTR paired with weak conversion Cost per acquisition (CPA) Efficiency of the creative in winning outcomes Rising CPA on flat targeting Video hook rate / 3-second views Whether the opening holds attention Sharp early drop-off Frequency How often the same user sees the ad Climbing frequency with falling CTR Engagement rate Depth of interaction beyond the click Low engagement on high-reach ads Asset-level performance Which headline or image carries the ad One weak asset dragging the set
Common pitfalls & best practices
Judging too early. Wait for enough impressions and conversions before declaring a winner; small samples mislead. Give each creative a fair statistical window.
Comparing across mismatched contexts. A creative built for one placement will look weak against another — segment before you rank.
Chasing CTR alone. A high click rate that fails to convert wastes budget; always pair engagement metrics with downstream outcomes.
Ignoring fatigue. Even a strong creative decays as frequency rises. Monitor trends over time, not just totals.
Pausing without a replacement. Retiring a weak ad leaves a gap. Prioritise refreshing and testing new variants alongside every pause.
The workflow, step by step
Set the scope and window. Define which campaigns, ad groups and date range you are analysing, and choose a window long enough to be statistically meaningful — typically the last 30 days.
Pull creative-level performance. OpenAds retrieves metrics for each ad and asset, including images, videos, headlines and descriptions, rather than rolling everything up to campaign level.
Rank by primary objective. Order creatives against your goal metric — CTR for awareness, conversion rate or CPA for performance — so the comparison reflects what actually matters.
Segment the signals. Break results by device, placement and audience to spot creatives that win in one context but underperform in another.
Detect fatigue and saturation. Track CTR decay and frequency over time to identify assets that started strong but are now tiring the audience.
Isolate the winning elements. Compare shared components across ads to attribute lift to a specific hook, headline or visual, not just the ad as a whole.
Review the proposed actions. OpenAds drafts recommendations — pause, scale, refresh or test — each with its supporting evidence for you to weigh.
Approve and execute. Confirm the changes you want; OpenAds applies only the approved actions to the live account.
Run this workflow through your AI assistant.