Your data already knows how to convert your pipeline. Let Wave unlock it.

Stop guessing what your buyers want. Wave analyzes your existing engagement data to predict the exact content, channels, and timing your prospects prefer—delivered straight to your CRM.

Most marketing AI is guessing.

Not because it's bad — because it's working from half the picture. The signal it needs is already in your stack; it's just scattered across tools that don't talk to each other. Four things almost no stack connects:

What each person has actually read

Your engagement lives in one tool, your content in another. Nobody joins them.

How they really found you

Most tools learn from what you sent, not how people arrive (including the fast-growing traffic from AI assistants).

Who sits in each buying-group seat

Every team draws the committee, then never tracks it.

When each person wants to hear from you

Cadence stays one global rule instead of a personal one.

Same root cause every time: the data exists, it's just not connected. That's the part Wave makes easy.

Why I built Wave.

Ten-plus years architecting Marketing Ops, I saw the same four gaps everywhere — not because teams were sloppy, but because their tools were built for adjacent problems. Marketo and HubSpot execute. 6sense scores accounts. None were built to answer the quiet person-level questions that decide whether a campaign actually lands.

So I built Wave to answer those questions and nothing else.

It's the data layer I kept rebuilding by hand in every engagement — now it's a product you just switch on.

Four products. One data layer. Every campaign gets smarter.

Each one answers a question your stack can't today, and writes the answer back to your CRM. Want the detail? Every product has a deep dive.

Curriculum coverage matrix in Wave: roles across columns, stages down rows, color-coded cells showing content-gap status.
Curriculum coverage: role x stage matrix with content-gap thresholds.

Know what every person has actually read.

Wave reads all your content — landing pages, blog, gated assets — sorts it into your topics, and ties it to who consumed what. "What's this person into?" finally has a real answer.

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Reach people where they actually show up.

Wave learns from how people arrive — your UTMs, referrers, and the growing wave of AI-assistant traffic — not just what you've sent. It predicts the channel each person prefers, including the ChatGPT and Perplexity referrals most tools lose in "direct."

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Channel Affinity panel in Wave showing predicted engagement channel and promotional channel for a single person, with confidence scores.
Two-axis channel prediction per person, with confidence and model version.
Buying-group seat grid in Wave showing role columns, person rows, and per-person next-up topic recommendations.
Per-account seat grid with per-person next-up topic and channel.

Run your buying-group model, don't just draw it.

Wave seats every person in the committee, tracks what each role has seen, and serves the next thing they need — written back to your CRM so your campaigns can route on it.

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Predict when, not just what.

Wave predicts each person's best timing — the window, the rhythm, and the point where they tune out — so cadence stops being one rule for everyone.

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Communication Cadence card in Wave showing a person's predicted send window and personal outreach rhythm.
Per-person cadence: best window, day, rhythm, and when they tune out.

And more, on the same data layer.

Once Wave knows your people, more intelligence arrives with no new plumbing. A few that are live today:

Next-Best-Action

One recommendation per person, ranked and explained.

Ask Wave

Ask your data a plain-English question, get an answer on the spot. No SQL, no report ticket.

Motion Traction

A daily read on which accounts are heating up.

AI Lift Experiments

A built-in holdout, so you can prove the lift on your own data.

Seventeen capabilities in all. See all features →

Seventeen ways Wave makes your stack smarter.

Every Wave capability has its own deep dive. Each one reads the data you already own and writes predictions back to your CRM, so the tools you run today get sharper.

Channel Affinity Wave predicts each person's channel from how they arrive, UTMs, referrers, and AI-assistant traffic, not your send history. Two axes: inbound and promotional. AI Referral Intelligence Wave detects and classifies traffic from ChatGPT, Perplexity, Claude, Gemini, and Copilot as a first-class inbound channel, then folds it into channel predictions. Buying Groups Wave models each account's buying committee, scores who has consumed what, and routes the next theme every member needs, written back to your CRM. Content Intelligence Wave crawls every content URL, extracts structured metadata with an LLM against your taxonomy, and joins it to person-level engagement so you know what each buyer consumed. Cadence Affinity Wave predicts each person's preferred send window, rhythm, and fatigue point from inbound behavior, not send history, and writes the timing to your CRM. Engagement Format Wave predicts the content format each person actually consumes, webinar, video, whitepaper, or podcast, from real engagement history across your stack, and writes it to your CRM with a confidence grade. Next-Best-Action Engine Wave fuses content, format, channel, timing, and buying-group context into one next-best-action per person and writes it back to HubSpot. No data engineering. No-API-Key Onboarding Wave onboards your contacts and engagement with no OAuth and no API keys, by secure file upload or a read-only Snowflake view, so IT security review says yes. HubSpot Enrichment Wave writes seven prediction fields to every HubSpot contact each scoring cycle, channel, format, buying-group role, next theme, and timing. No data pipeline. AI Lift Experiments Wave ships a built-in control-vs-treatment holdout, so you measure the lift of its AI on your own data, in your own CRM. Daily per-arm results, no setup. AI Accuracy Eval Harness Wave continuously measures its own AI accuracy on your content, lets ops label extractions to improve it, runs a challenger model, and blocks lower-accuracy configs. Marketing Motions Wave runs a buying committee for every motion on an account, free-standing or deal-anchored, so one person can hold a seat on each. Tracked separately, written to your CRM. Ask Wave Ask Wave a plain-English question and get a structured answer from your live data. No SQL, no BI tool, no RevOps ticket. Tenant-isolated, nightly observations, fully audited. Motion Traction Wave scores every account's buying momentum daily from your own first-party engagement and ranks it against your pipeline, so you see which accounts are heating up. Send Schedule Calendar Wave derives a month-view calendar of exactly who to reach each day from buying-group progress, channel, and cadence predictions. No list-building required. Assurance Track When a buying-committee member still needs convincing, Wave switches them to an assurance track of proof content and surfaces the ally you have not seated yet. Next Up Content Wave ranks the best next content for each person from their buying-group theme and engagement history, and explains why each pick is next. Shown on the contact page.

Wave sits beside your stack. It doesn't replace it.

Wave reads from HubSpot, Marketo, Salesforce, Snowflake, or a secure file. It runs the models. It writes predictions back to HubSpot today (Marketo next) as contact fields your campaigns can act on.

Architecture diagram. Source systems on the left feed Wave's four AI products in the middle. Predictions write back to your CRM on the right.

Every writeback is logged — old value, new value, and the model that produced it — and you can roll any of it back in one click.

Built multi-tenant from day one: your data never trains on anyone else's.

Honest about what Wave doesn't do.

Wave doesn't send email, SMS, push, or ads. It isn't your source of truth for profiles. It doesn't do attribution or BI dashboards. If your problem is execution, attribution, or visualization, Wave is the wrong layer. If your problem is that the decisions feeding execution are built on broken inputs — that's exactly what Wave fixes.

Let's see if Wave fits.

20 minutes. We'll walk through a tenant configured against your stack shape and show you the predictions Wave would produce on your data.

We reply within one business day. Your data stays with Tidal RevOps and is never shared.

Not ready for a demo? See how it works →