Patented, Award-Winning, Built Different.

    We're the first company to apply causal intelligence to social networks.

    Causal Intelligence

    Behind the algorithms.

    Relying on engagement metrics means you're making mistakes. Without understanding cause and effect, you can't tell real influence from noise.

    Altalytics applies causal inference to social networks to reveal what actually drives influence.

    Engagement ≠ Influence.

    Engagement is correlation. Real measurement requires untangling the network effects that confound it — something previously thought mathematically impossible. Below: one of them, homophily.

    User Aposts about EVsUser BUser CUser DUser EUser FEngagement (all look equal)

    All five engagements look identical. Traditional engagement metrics consider 'influence' between all interactions to be equal.

    Cause and effect requires accounting for the network. We do. No one else can.

    Why homophily adjustment matters

    Engagement Metrics Alone

    • Misunderstands Influence. Counts pre-existing agreement as influence. Someone who already agreed with you liked your post — that's not persuasion.
    • Poor Attribution. Unable to distinguish genuine influence from similarity. Did your campaign work, or were those people always going to agree?
    • Cast Wide and Hope. Communicators are forced to cast a wide net, focused on widespread visibility, hoping something lands. Precision is impossible when you can't separate signal from noise.
    • Preaching to the Choir. High engagement doesn't mean you changed anyone's mind.
    • Misleading Prediction. Past engagement is a limited predictor of future behavior change. Likes today don't mean opinion shift tomorrow.

    CAUSAL INFLUENCE

    • Isolates True Influence. Disentangles echo chamber effects and pre-existing agreement to reveal who and what is genuinely persuading your target audience.
    • Accurate Attribution. Separates network effects from content impact. Finally prove what your communications caused.
    • Identifies Persuasion. Identifies where opinion is still moving. See which audiences are still actively forming views and which are settled.
    • Communicate with Precision. Knowing where opinion is moving is only half the battle. Understand the messages, narratives, and pathways that reach your audience and maximize the resonance of your communications.
    • Predictive Power. Causal findings confidently predict future influence. Understanding why a narrative shifted, and what drove it, gives you a reliable, repeatable playbook for the future.

    Make Causal Influence your asymmetric advantage.

    It's time to move beyond engagement metrics.