Audiences from real behaviour
Built from public social activity (who people follow, engage with and post about), not from broad interest buckets.
Advanced targeting
on all channels.
Build audiences from three billion indexed social accounts, describe who you want in plain language, and activate the result in your ad accounts. No pixels, no cookies, no waiting for an algorithm to guess.
3B+social accounts indexed
8+ad platforms to activate on
0pixels or cookies required
Why it works
Targeting built on what people actually do
Interest categories are guesses. We start from real, public social behaviour: who people follow, what they engage with, what they post about. From that we build audiences.
Describe it, do not build it
Type who you want in a sentence. Ada assembles the audience, sizes it, and shows the accounts that define it.
Straight into your ad accounts
On X we upload a custom audience via API. On Meta, LinkedIn, TikTok and the rest, the sharpest native set-up we can build from it.
Built for a post-cookie internet
No site pixel, no third-party cookies, no personal data resold. GDPR and CCPA compliant by design.
01
Ask for the audience you actually want
Skip the dropdown archaeology. Describe your ideal customer in a sentence and Ada turns it into a real, sized audience, then suggests the adjacent segments you had not thought of.
- Plain-language audience briefs
- Live size estimates before you spend anything
- Suggested lookalike and adjacent segments
02
Explore any account, community or conversation
Search across Instagram, LinkedIn, TikTok, X, Facebook, Reddit and YouTube at once. Look up a competitor's followers, a subreddit, a hashtag or a single creator, and see who is really behind the engagement.
- One search across every major platform
- Follower and engagement breakdowns per account
- Communities, hashtags and creators side by side
03
Layer interests, behaviour and lookalikes
Stack conditions the way you would in a query, not the way an ad platform lets you. Include the communities that matter, exclude the ones that waste budget, and expand with lookalikes built from your own best customers.
- Include and exclude rules that actually stack
- Lookalikes seeded from your own converters
- Overlap warnings before you duplicate spend
app.socialdatabase.com
1 Describe2 Search3 Ready
Describe your audience
Works in marketing SaaS industry Europe
04
Activate where the audience lives
An audience is only worth something once it is live. On X we upload it as a custom audience via API. On Meta, LinkedIn, TikTok and the rest we translate it into the sharpest set-up their own targeting allows, so you launch in the same session either way.
- Custom audiences uploaded to X via API
- Translated into native targeting everywhere else
- Performance reported back per audience
Activate on
Facebook
Instagram
X
LinkedIn
TikTok
YouTube
Reddit
Google
Go deeper
Channels we know inside out
Every platform behaves differently, so our targeting does too. These are the channels where we go furthest.
X Pro Targeting
Upload custom audiences to X via API. Target by follower graph, conversation and interest depth that the native ad manager does not expose.
Reddit Targeting Lists
Reach the subreddits and contributors that matter, with lists built from actual participation instead of broad category interest.
Explore the graph yourself
Poke around the social graph before you commit to anything. Search accounts, communities and conversations in a live environment.
Open Explore Privacy by architecture
No pixels. No cookies. No personal data resold.
Our audiences are built from public social signals, not from tracking your visitors around the web. There is nothing to install on your site, nothing that breaks when a browser drops third-party cookies, and nothing that puts you on the wrong side of GDPR or CCPA.
- Public follower and following graphs
- Engagement on posts, replies and reposts
- Community and subreddit participation
- Topics and language people post in
- Creator and brand affinity
- Geography at country and region level
How it works
Describe it, refine it, activate it
Building an audience should take a conversation, not a research project. Three steps from an idea to live targeting inside your ad account.
- 01
Describe your audience
Tell Ada who you are trying to reach in a sentence. She assembles a candidate audience from the indexed graph and reports its size immediately.
- 02
Refine until it is sharp
Add the communities that matter, exclude the noise, expand with lookalikes. You can see exactly which accounts define the audience at every step.
- 03
Activate and measure
Upload it to X as a custom audience via API, or let us translate it into the native targeting set-up for Meta, LinkedIn, TikTok and the rest. Results come back per audience, so you learn which segments deserve more budget next time.
Activate on
FAQ
Questions, answered
From public social signals that we index continuously: follower and following graphs, engagement on public posts, community and subreddit participation, the topics and languages people post in, and creator or brand affinity. We do not buy third-party profiles and we do not track visitors on your website.
Native platforms start you at a dropdown of broad, pre-defined categories and then hand the rest to their algorithm. We start from observed behaviour: specific accounts, specific communities, specific conversations. Only then do we decide how to express that inside the ad platform. You are choosing your audience from evidence rather than from a category list, and you can see exactly which accounts define it.
It depends on the platform, and the honest answer is that it differs. On X we upload a finished audience as a custom audience via API: the actual accounts, matched inside your own X ad account. Meta, LinkedIn, TikTok, Reddit, YouTube and Google do not accept third-party account lists like that, so there we translate the audience into the sharpest set-up their native targeting allows: the interests, demographics, job titles, behaviours, creators and lookalike seeds that get closest to the same people. One piece of research can feed several platforms without starting over.
You don't need it. Audiences are built from public social behaviour, not from browsing history, so there is nothing to install to start targeting. Campaign performance and measurement will improve if you install each platform's native pixel, like the Meta pixel.
We index over three billion social accounts, so broad audiences are rarely a problem. At the narrow end, the useful floor is usually set by the minimum audience size of the ad platform you are activating on rather than by us. Ada flags it when a segment is going to be too small to run.
One AI platform for everything social
It works even better with the rest
Marketing on Autopilot
One AI platform to create, launch, and optimize all your ads across every major channel.