YouTube Analytics is now live in LDOO.YouTube Analytics integration is now live in LDOO. See what it unlocks
LDOO is conversational analytics for agencies and marketing teams.
Answer #20 is better than answer #1.
Most analytics tools forget everything between sessions. LDOO accumulates context — baselines, conversations, goals, corrections — and actively learns from it: detecting trends, tracking recommendation outcomes, recognising seasonal patterns, correlating anomalies across clients. The AI doesn't just know the numbers. It knows what's normal, what changed, and what to do next.
Six layers of context in every answer.
Each layer is injected into the AI prompt automatically. You don't configure any of this — it builds over time as you use LDOO.
90-day baselines
Statistical normals computed from the last 90 days of data for each client, source, and metric. When LDOO says "CPA is above normal," it means it — the baseline is calculated, not guessed.
Conversation history
Key findings from your last 30 days of conversations about each client. LDOO references prior analysis instead of starting from scratch every time.
Client goals & KPIs
Industry, primary KPI, targets, seasonality notes. When LDOO says "ROAS is within your target," it's checking against goals you set — not making a generic judgment.
Report memories
After every report is generated, LDOO distills the narrative and recommendations into topic-tagged memories. Future answers reference these — efficiency, channel focus, known issues.
Active alerts
Unread anomaly alerts are injected into the prompt so LDOO can proactively surface them. "CPA spiked on Tuesday" appears in the answer before you ask about it.
Learned corrections
Thumbs-down an answer or correct something in conversation, and LDOO records it as a durable fact. "Attribution is 7-day click" or "Brand NZ was paused" — the same mistake never repeats.
Computed, not configured.
After every data sync, LDOO recomputes 90-day statistical normals for each client, source, and metric. This is what powers the difference between “CPA is $65” and “CPA is $65 — above your normal $40-$55 range and the highest in three months.”
Context is the input. Intelligence is the output.
Beyond remembering what you tell it, LDOO actively learns from data patterns and outcomes. These signals build automatically with use — no configuration needed.
Without context vs with context.
This is the same question asked of the same data. The difference is whether the AI has accumulated context about the client.
“CPA this week is $65. This is higher than last week's $44. Consider reviewing your campaigns and adjusting bids to reduce costs.”
“CPA is $65 — above your normal $40-$55 range and the highest in three months. The spike is concentrated in the Retargeting campaign where frequency hit 6.2. Last time this happened (Feb 12), refreshing creative brought CPA back to $42 within a week. Your target is $50, so this needs action.”
Always on. Zero configuration.
Statistical normals recomputed after every sync. 90-day window. Per client, per source, per metric.
Key findings from the last 30 days of conversations are injected into every answer. Prior analysis compounds.
Multi-month directional trends detected automatically. Woven into answers and reports as momentum signals.
Calendar patterns detected after a year of data. Briefing cards warn you 30 days before a seasonal shift.
Every recommendation is checked against outcomes at metric-appropriate intervals. Results feed back into future answers.
"Remembering N prior conversations" badge on every answer card. You always know what context the AI is using.
Client memory questions
What LDOO remembers, how baselines work, and why answers get sharper the longer you use it.
The AI that knows
your business.
Every question, correction, and report makes the next answer better. Context accumulates. Intelligence compounds. By month 3, the difference is measurable.