Case Study · AI Ads

AI Ads Case Study: CPM Fell 39% as CTR Increased from 3.1% to 4.8%

An anonymous campaign managed using Audience Base AI Ads provides an early look at how AI Ads performance developed as the campaign matured and optimisation continued.

Audience Base 14 September 2026 Digital ShoutOuts Media

An early AI Ads campaign managed using Audience Base AI Ads saw CPM reduce from approximately ₹890 to ₹540 while CTR increased from approximately 3.1% on the first day to around 4.8% as the campaign progressed.

The advertiser name is being withheld for confidentiality. The purpose of this case study is not to present a universal AI Ads benchmark, but to share one of the early campaign performance patterns observed while using Audience Base AI Ads.

~39% Reduction in CPM Approx. ₹890 → ₹540
4.8% CTR achieved as campaign progressed Approx. 3.1% on day one
Improving ROAS trend Performance strengthened progressively

The campaign started with a 3.1% CTR

One of the first encouraging signals was engagement. The campaign recorded approximately 3.1% CTR from day one.

As more campaign performance data became available and optimisation continued, CTR increased to approximately 4.8%.

Initial CTR
3.1%
→
Later CTR
4.8%

That represents an increase of around 55% on a relative basis from the initial 3.1% level.

For Audience Base, the important point was not simply that CTR was high. It was that engagement improved further as the campaign matured.

CPM reduced from approximately ₹890 to ₹540

The campaign initially delivered at approximately ₹890 CPM.

Over the campaign period, CPM reduced to approximately ₹540.

Earlier CPM
₹890
→
Later CPM
₹540

This represents an approximate 39% reduction in CPM.

The more interesting part was the combination: media cost became more efficient while CTR also increased. The campaign was not simply reducing CPM by accepting weaker engagement.

ROAS improved progressively

The campaign was also monitored beyond impressions and clicks. Conversion performance and return on ad spend became increasingly important as the campaign accumulated more delivery and conversion data.

During the campaign period, ROAS improved progressively. Rather than quoting a single ROAS figure without the wider campaign context, the more useful learning was the direction of performance: the return continued to strengthen as the campaign matured.

This is important for how Audience Base approaches AI advertising. AI Ads should not be evaluated only as a new placement or a source of high CTR. The long-term value of the channel will depend on whether brands can connect engagement with actual business outcomes.

How Audience Base AI Ads was used

Audience Base AI Ads was used as the campaign operating layer around the AI Ads activity.

The workflow focused on connecting campaign planning with consumer intent, relevant conversational context, creative, performance monitoring and conversion measurement.

Campaign Planning Campaign structure and objectives organised around the advertiser.
Intent Planning Relevant consumer situations and conversational intent considered.
Context Hints Campaign context aligned with situations where the advertiser could be useful.
Creative Messaging and landing experience reviewed alongside campaign context.
Measurement Impressions, clicks, spend and conversion performance monitored.
Optimisation Performance reviewed continuously as campaign data accumulated.

Why the result matters

AI Ads are still an emerging advertising environment. One campaign should therefore not be treated as a universal benchmark for every advertiser, category or market.

However, the campaign provides an encouraging early performance signal: CTR started at approximately 3.1%, later reached approximately 4.8%, CPM reduced by around 39%, and ROAS improved progressively.

It also reinforces the idea that conversational advertising should be managed with the same performance discipline applied to established digital channels.

The environment may be new, but advertisers still need to understand cost, engagement, conversion and return.

What Audience Base learned from the campaign

One early learning is that conversational advertising should not simply be treated as another display campaign.

The context surrounding the consumer's question matters. The reason somebody is researching something matters. Creative relevance matters. And measurement becomes increasingly important once the campaign begins generating enough data to optimise against actual outcomes.

For Audience Base AI Ads, the objective is to bring those elements into a single campaign workflow rather than treating intent planning, campaign activation and measurement as disconnected processes.

Audience Base AI Ads

Audience Base AI Ads is an India-built AI advertising platform developed by Digital ShoutOuts Media Private Limited.

The platform is being developed to help brands and agencies plan, manage, measure and optimise advertising across emerging AI-powered advertising environments, beginning with AI Ads.

Its workflow brings together advertiser management, campaign creation, intent planning, contextual planning, creative preparation, conversion measurement and reporting.

Campaign snapshot: approximately ₹890 → ₹540 CPM, 3.1% → 4.8% CTR, with ROAS improving progressively as the campaign matured.

The advertiser has not been identified for confidentiality. Figures shown are approximate results from an individual campaign managed using Audience Base AI Ads. Performance may vary by advertiser, campaign objective, creative, targeting, auction conditions, market, conversion setup and other factors. These results do not represent guaranteed future performance. Audience Base AI Ads is developed by Digital ShoutOuts Media Private Limited. References to OpenAI, ChatGPT or AI Ads do not imply partnership, endorsement or affiliation unless expressly stated.