Add your API key
In Settings, connect YouTube Analytics with an API key or token — the same quick setup as YouTube, Ahrefs and Search Console. Pair it with GA4 to trace clicks into your site.
Connect YouTube Analytics to dolv and the grounded AI command center reads your watch-time, retention, audience and traffic-source data, writes the readout and the next move in your voice, and acts only on what you approve — turning video reporting into live funnel signal instead of a stale dashboard.
The grounded AI command center treats your reporting as a live data source. Instead of you opening Studio and scrubbing retention reports, it pulls straight from your watch-time, audience and traffic-source data — context first, action second.
Pulls views, watch-time, average view duration and audience-retention curves so the AI knows exactly where viewers drop off.
Reads subscriber movement, returning vs. new viewers, geography and age signal — the people behind the numbers, not just totals.
Sees how viewers find each video — search, suggested, browse, external — so the assistant knows what is actually driving reach.
Finds the upload, the search term or the time window you need across the whole channel without scrubbing reports by hand.
Every read stays grounded in your company context and playbooks, so the readout it drafts and the rewrites it prepares sound on-brand and against your goals — not a generic chatbot answer.
Reading is only half of it. YouTube Analytics is a read + write mini-app, so dolv turns insight into real work. The command center has 25+ tools that execute, and analytics wires into the ones that create: it drafts plain-spoken readouts, prepares title and description rewrites for videos losing discovery, and opens tracked tasks. Anything that goes public — a rewrite, a publish, an ad or an email off a winning video — is held for a human first, the same grounded approval loop that powers every external action in the app. Summarizing and opening internal tasks run on the spot.
See where the signal goesWrites a grounded, plain-spoken summary of what moved this week and why — in your voice, not a generic dashboard caption.
Reads the retention and traffic data, then prepares title, description and tag rewrites for videos that are underperforming on discovery.
A Director sequences agents to act on a winning video across email, social and ads — each external publish still gated for approval.
create_task turns "re-cut the intro that loses 40% in 15 seconds" into tracked work that auto-closes when it ships.
Reading and summarizing run immediately. Because it goes live, dolv prepares the rewrite and waits for your approval.
The same gate protects every public action across dolv's 20 read-and-write integrations — and it's the safety rail behind multi-agent campaigns with a Director and a per-agent budget cap of $250/mo.
Connecting YouTube Analytics isn't just a report — it's signal. Video runs the whole funnel: views and new subscribers are top-of-funnel reach, watch-time and retention are mid-funnel consideration, and demo-driving videos pull bottom-of-funnel revenue. dolv maps each onto a unified TOFU / MOFU / BOFU funnel, scores it against a rolling 30-day baseline, and rolls it into one weighted composite health score. A cross-metric correlation engine then links video engagement to downstream conversions — backed by multi-touch attribution across five models, North Star metrics, OKRs and ICE-scored experiments — so you know which video actually moved the number.
Explore funnel intelligenceAn API key or token in Settings, and your reporting is live to the command center.
In Settings, connect YouTube Analytics with an API key or token — the same quick setup as YouTube, Ahrefs and Search Console. Pair it with GA4 to trace clicks into your site.
dolv is grounded by default in your company, playbooks and knowledge — so every readout and rewrite sounds like you, not a chatbot.
Ask "which videos lose viewers early?" — the AI reads retention and traffic data, prepares rewrites and follow-ups, and queues each publish for your one-click approval.
Video reporting rarely acts alone. These connect on the same grounded command center — one of 20 read-and-write integrations.
See the whole set on the integrations hub — 20 read-and-write tools, one AI that acts.
What dolv reads, what it prepares, and how approvals keep you in control.
The grounded AI command center reads your reporting data: views, watch-time, average view duration and audience-retention curves; subscriber movement and audience demographics like returning vs. new viewers, geography and age; and traffic sources that show how viewers find each video — search, suggested, browse or external. It can search across your whole library to pull the per-video or per-query breakdown it needs. It uses that context to draft readouts and prepare changes, and to feed video signal into funnel intelligence — it reads only to ground its work, never publishing without the human-in-the-loop gate.
No. Reading and summarizing your analytics happens automatically, but anything that goes public — a title or description rewrite, a publish, an ad or an email triggered off a winning video — is the kind of action dolv always gates. The assistant drafts the work and queues it in your Approvals inbox; the real action fires only after you click approve. Connecting YouTube Analytics grants read access and the ability to prepare changes; nothing goes live until a human signs off.
YouTube Analytics connects in Settings with an API key or token — the same lightweight setup as YouTube, Ahrefs and Search Console. Once connected, point dolv at your channel and every readout, rewrite and follow-up stays grounded in your company context and playbooks. From there the assistant reads your watch-time, audience and traffic-source data and prepares the next move for your approval.
Video is full-funnel signal. dolv maps views and new subscribers to TOFU, watch-time and retention to MOFU, and demo-driving videos to BOFU, scores each against a rolling 30-day baseline, and rolls them into one weighted composite health score (TOFU 0.25, MOFU 0.40, BOFU 0.35). A cross-metric correlation engine then links video engagement to downstream conversions, and multi-touch attribution across five models credits the video for the deals it influenced.
No. dolv is an operator, not a chatbot. The grounded command center has 25+ tools that execute real work — it drafts analytics readouts, prepares title and description rewrites, opens tracked tasks, and runs multi-agent campaigns coordinated by a Director with a per-agent budget cap of $250/mo. It reads your reporting to act on it, and every public action waits for your one-click approval.
Connect YouTube Analytics, let dolv read your watch-time, audience and traffic data and draft the next move, and approve anything that publishes. An operator on your channel, not another dashboard. dolv it.