SIGNALMAP / AUDIENCE_AI

    Find the humans who'll actually buy.

    Our AI scans social signals across 9 networks, infers what people want, taste, and care about — then stores it as living profiles in your CRM. Approach the right person, on the right channel, with the right pitch.

    01 / SIGNALS

    The signals we read. Quietly. Continuously.

    SIGNAL_01
    Affinities

    Who they follow, like, and engage with — across X, Instagram, TikTok, Telegram, Reddit, YouTube, LinkedIn, Threads, Farcaster.

    EXAMPLE
    Follows 12 wellness creators · likes vegan recipes 3×/week
    SIGNAL_02
    Purchase intent

    Products mentioned, brands tagged, wishlists, comparison comments, cart-abandon hints scraped from public posts.

    EXAMPLE
    Asked about Dyson alternatives · saved 4 sneaker drops
    SIGNAL_03
    Taste graph

    Music, films, books, aesthetics. Inferred from playlist screenshots, reviews, fandoms, and reposts.

    EXAMPLE
    Lo-fi · A24 fan · brutalist design boards on Pinterest
    SIGNAL_04
    Habits & hobbies

    Routines, sports, games, side-projects. Built from check-ins, streaks, and recurring topic clusters.

    EXAMPLE
    Mobile RPG nightly · weekend hiker · indie maker
    SIGNAL_05
    Geo & timing

    City, timezone, travel patterns, and the hours they're actually online and reply-ready.

    EXAMPLE
    Lisbon · 21:30 UTC peak · weekly Berlin trips
    SIGNAL_06
    Vocabulary

    How they actually talk — slang, emoji, hashtags, sentence length. So your outreach sounds like a peer, not a pitch.

    EXAMPLE
    Lowercase · uses 'no notes' · max 1 emoji per message
    02 / PIPELINE

    Scan → infer → store → approach.

    01
    Scan

    Continuous crawlers ingest public signals from 9 networks, normalized and de-duplicated.

    02
    Infer

    LLMs cluster behavior into wants, taste, and intent. Every profile gets ~180 attributes.

    03
    Store

    Lives in your CRM as a unified contact: handles, signals, fit-score, last activity, best channel.

    04
    Approach

    Hand off to outreach with a tailored opener built from that person's actual interests.

    03 / PROFILE_ANATOMY

    What a single profile looks like inside.

    PROFILE · #28491FIT 94/100
    MR
    Maya R.
    Lisbon · 28 · she/her
    @mayar@maya_tgtiktok/mrlinkedin/maya
    WANTS
    running shoes · low-tox skincare · weekend in Madrid
    TASTE
    minimal · earth tones · indie pop
    ROUTINE
    morning runs · 21:00 IG scroll · weekly Pilates
    BEST_CH
    Instagram DM · weekday evenings
    SUGGESTED_OPENER
    "saw your madrid pin board — if you want a low-tox SPF for the trip, ours ships there in 2 days. no pressure 🌞"
    01
    Identity-resolved

    Every handle across networks merged into one human.

    02
    Wants, not demographics

    We store what they're shopping for — not just age & city.

    03
    Taste fingerprint

    Aesthetic, music, brand vibes — for matching tone of voice.

    04
    Best channel + best time

    Where and when they actually open and reply.

    05
    AI-suggested opener

    A first message written in their language, referencing their world.

    06
    Live & re-scored

    Profiles refresh continuously. Fit-score moves with behavior.

    04 / WHO_USES_IT

    Built for teams that need real humans, not lookalikes.

    DTC brands

    Find shoppers actively talking about your category — before they search.

    B2B founders

    Pinpoint ICP humans by job moves, posts, and tools they champion.

    Creators & courses

    Locate the niche audience that already engages with peers like you.

    Agencies

    Run audience scans per client and hand back a CRM full of warm targets.

    05 / GUARDRAILS

    Public signals only. Consent-aware. Compliant.

    Public-only ingestion

    We read what people choose to publish. No private DMs, no scraped passwords, no dark patterns.

    GDPR & CCPA aware

    One-click suppression lists, right-to-erasure honored across all stored profiles.

    Brand-safety filters

    Auto-exclude minors, sensitive topics, and accounts that have opted out of marketing.

    06 / FAQ

    Questions, answered.

    Q.01
    Where does the data come from?
    Public posts, profiles, and engagements across X, Instagram, TikTok, Telegram, Reddit, YouTube, LinkedIn, Threads, and Farcaster.
    Q.02
    How accurate are the inferred interests?
    Profiles with 30+ signals reach ~90% precision on top-3 interests. Every attribute carries a confidence score you can filter by.
    Q.03
    Can I bring my own seed audience?
    Yes — upload a CSV of handles, emails, or a competitor's follower list. We enrich and expand from there.
    Q.04
    Does it sync to my existing CRM?
    Yes — native sync to HubSpot, Pipedrive, Attio, Notion, and any webhook. Or use Taploop CRM directly.
    Q.05
    How is this different from ad targeting?
    Ad platforms target lookalike segments. We hand you specific humans — with handles, context, and an opener tailored to them.
    END_OF_PAGE / NEXT_ACTION

    STOP PLANNING.
    START SHIPPING.

    Your marketing agent is one email away.

    Start marketing agent