Audience Targeting
Audience
Research, validate and prepare platform-ready audience structures.
Overview
This workflow helps you move from a loose sense of “who we want to reach” to a validated, platform-ready audience structure that can be attached to campaigns with confidence. Working through your AI assistant, OpenAds researches available audience signals — in-market segments, affinity groups, custom audiences, demographics, remarketing lists and geo layers — checks them against your account’s actual reach and historical performance, and assembles a clean targeting proposal you can review before anything touches a live campaign.
The outcome is a documented audience plan: named segments mapped to ad groups or campaigns, with estimated reach, expected overlap and a rationale for each inclusion or exclusion. Nothing is applied silently. You receive a structured proposal, approve the parts you agree with, and only then does OpenAds execute the changes on the platform. The result is targeting that is deliberate and auditable rather than guesswork bolted onto a live account.
When to use it
Reach for this workflow whenever the who of a campaign is the open question, or when existing targeting has drifted and needs a disciplined rebuild.
Launching a new campaign and needing an audience structure from scratch.
Reviewing an underperforming campaign where wasted spend may be a targeting problem.
Expanding into a new region, language or product line that needs fresh segments.
Consolidating overlapping audiences that are competing against each other in auction.
Preparing remarketing and custom audiences ahead of a seasonal push.
Example prompts
"Research in-market and affinity audiences for a premium home-fitness brand targeting metro India, budget ₹4,00,000 a month."
"Which of our current audiences overlap the most, and which should we split apart?"
"Build a remarketing structure for cart abandoners and past purchasers, with purchasers excluded from prospecting."
"Compare our top-converting audiences over the last 90 days and propose three lookalike expansions."
"Prepare a targeting plan for a new Tamil-language campaign in Chennai with a ₹90,000 test budget."
"Suggest exclusion audiences to stop us paying for users who already converted this quarter."
"Draft a validated audience structure for a B2B SaaS launch aimed at IT decision-makers."
What OpenAds prepares vs what you approve
OpenAds handles the analysis — researching signals, estimating reach, measuring overlap and reading historical performance — and turns that into a proposal: a named, structured audience plan with a clear rationale for every inclusion and exclusion. That proposal is where OpenAds stops on its own. Approval is yours: you review the structure, adjust anything that does not fit, and sign off on the segments you want live. Only after your sign-off does OpenAds move to execution and apply the audiences to the platform. Research and proposal are always separated from execution, so no audience is ever attached to a live campaign without a human decision in between.
What to look at
SignalWhy it mattersWhat good looks like Estimated reachConfirms a segment is large enough to spend against.Sufficient to hit budget without over-restricting. Audience overlapOverlapping segments compete and inflate cost.Low overlap between prospecting audiences. Historical conversion rateShows which segments actually drove results before.Prioritised segments outperform account average. Cost per acquisition by segmentIdentifies efficient versus wasteful audiences.Retained segments sit at or below target CPA. Exclusion coveragePrevents paying to re-reach converted users.Converters and poor-fit users cleanly excluded. Geo and language fitKeeps spend inside the intended market.Targeting matches the campaign's stated region.
Common pitfalls & best practices
Stacking too many audiences. Layering many segments into one ad group narrows reach and muddies attribution — keep structures deliberate.
Ignoring overlap. Prospecting and remarketing audiences that overlap bid against each other; validate overlap before launch.
Forgetting exclusions. Without exclusions you pay to re-reach existing customers; always propose converter and poor-fit exclusions.
Over-narrowing. Excessively tight targeting starves the campaign of data — leave room for the platform to optimise.
Skipping historical evidence. Prioritise segments the account has actually converted on rather than intuition alone.
The workflow, step by step
Define the objective and constraints. State the campaign goal, budget, geography, language and any known exclusions so research is scoped to what actually matters.
Research available signals. OpenAds pulls in-market, affinity, custom and remarketing options relevant to your objective and surfaces the ones with meaningful reach.
Validate reach and overlap. Each candidate segment is checked for estimated size and cross-segment overlap so you avoid stacking audiences that cannibalise one another.
Cross-reference historical performance. Where the account has past data, OpenAds compares candidate audiences against segments that previously converted well or poorly.
Draft the targeting structure. Segments are mapped to the right ad groups or campaigns, with inclusions, exclusions and geo or language layers laid out explicitly.
Set negative and exclusion audiences. Poor-fit or already-converted users are proposed as exclusions to protect budget and reduce wastage.
Review the proposal. You receive the full structure with a rationale per segment and approve, amend or reject before execution.
Execute and label. Once approved, OpenAds applies the audiences to the platform and records what was attached, where and why.
Run this workflow through your AI assistant.