Marketing Intelligence,Without the Dashboard Fatigue
AI that connects every campaign, channel, and touchpoint — and tells you what's working, what's wasted, and where to double down.
What if AI actually understood your business context and was able to get you the answers you need fast, correct, and validated the first time?
MIRA reads your marketing data and surfaces what actually moves the needle.
Ask any question about campaigns, attribution, or pipeline in plain English — get back a full analysis with visuals and a clear next step. No SQL, no pivot tables.
Every channel, every campaign, always in sync
MIRA keeps a live view of your marketing performance across Google Ads, Meta, HubSpot, and more — so you always have a real-time picture without jumping between dashboards.
Built for the tools marketing teams already use
MIRA connects directly to your marketing stack so your analysis has the full picture — from ad spend to pipeline revenue.
- Connect Google Ads, Meta Ads, LinkedIn & more
- Sync CRM, email, and analytics platforms
- Attribution and funnel data included
- No data leaves your environment
Accurate answers. Protected data. Total transparency.
MIRA is built for businesses that can't afford to get it wrong and designed to prove it at every step.
Connected to marketing workspace and indexed all campaign data sources. Identified 3 queryable domains across the marketing stack.
Domains Discovered
- Campaign Performance5 tables
- Lead Pipeline & Attribution4 tables
- Content & SEO Analytics3 tables
Matched query intent to the “Campaign Performance” domain. Inspected table schemas and detected join relationships across ad platforms.
Selected Domain
Tables Found
- AD_CAMPAIGNS1,284 rows
- CAMPAIGN_METRICS186,420 rows
Generated and executed SQL against campaign tables. Aggregated spend, leads, and revenue by campaign for the current month.
Generated Query
SELECT c.campaign_name,
c.channel,
SUM(m.spend) AS total_spend,
SUM(m.leads) AS total_leads,
SUM(m.revenue) AS attributed_revenue,
SUM(m.revenue) / NULLIF(SUM(m.spend), 0) AS roas
FROM AD_CAMPAIGNS c
JOIN CAMPAIGN_METRICS m ON c.id = m.campaign_id
WHERE m.date >= DATE_TRUNC('month', CURRENT_DATE)
GROUP BY c.campaign_name, c.channel
ORDER BY attributed_revenue DESC
LIMIT 10;Execution
Mapped query results to a visualization. Selected grouped bar chart to compare spend vs. revenue across campaigns.
Visualization Config
Source Query
SELECT campaign_name,
SUM(spend) AS total_spend,
SUM(revenue) AS attributed_revenue
FROM AD_CAMPAIGNS c
JOIN CAMPAIGN_METRICS m ON c.id = m.campaign_id
WHERE m.date >= DATE_TRUNC('month', CURRENT_DATE)
GROUP BY campaign_name
ORDER BY attributed_revenue DESC
LIMIT 10;This month, total marketing-attributed pipeline reached $420K1Citation 1TablesCAMPAIGN_METRICSLEAD_PIPELINEQueriesSUM(attributed_revenue) WHERE date >= DATE_TRUNC('month', CURRENT_DATE)COUNT(*) WHERE lead_status = 'MQL' AND created_date >= DATE_TRUNC('month', CURRENT_DATE) — a 42% increase over last month2Citation 2TablesCAMPAIGN_METRICSCAMPAIGN_METRICS_ARCHIVEQuery(SUM(revenue) WHERE month = current) / (SUM(revenue) WHERE month = previous) - 1. Brand Search drove the most MQLs at $28 per lead3Citation 3TablesAD_CAMPAIGNSCAMPAIGN_METRICSLEAD_PIPELINEQueriesSUM(spend) / NULLIF(SUM(mqls), 0) WHERE campaign_name LIKE 'Brand Search%'SUM(mqls) WHERE campaign_name LIKE 'Brand Search%', making it the most cost-efficient channel. Meta Lookalike scaled 60% in volume4Citation 4TablesAD_CAMPAIGNSCAMPAIGN_METRICSQueriesSUM(leads) WHERE campaign_name LIKE 'Meta Lookalike%' AND month = currentSUM(leads) WHERE campaign_name LIKE 'Meta Lookalike%' AND month = previous with CPL still under target, while LinkedIn ABM achieved a 70% MQL rate5Citation 5TablesAD_CAMPAIGNSLEAD_PIPELINECRM_OPPORTUNITIESQueriesSUM(mqls) / NULLIF(SUM(leads), 0) WHERE channel = 'linkedin'AVG(deal_value) WHERE source_channel = 'linkedin' at a higher CPL — justified by 3.2× larger deal sizes from that channel.
Every answer,
verified.
MIRA layers multiple verification systems across every response — so every figure can be traced to its source, cited from the raw data, and validated on demand.
MIRA records a full lineage at every stage of reasoning — from domain selection through query execution to visualization. Every step is timestamped and linked end-to-end, so you can always rewind, double-check any decision, and know exactly how your answer was built.
Each reasoning step is captured as a structured tool call — tables accessed, SQL generated, rows returned, visualization parameters set. Expand any step to see the complete execution trace and verify exactly where MIRA pulled its data from.
Every figure in a MIRA response carries an inline citation. Click any superscript number to instantly see the exact tables queried and the SQL behind it — no guessing, no black boxes, just full source transparency.
Hit Validate on any citation and MIRA re-runs the source query directly against your live data, compares it to the reported figure, and flags any discrepancy — giving you a one-click audit trail for every number in the response.
Scale with security.
Enterprise-grade infrastructure that keeps your data in your environment, fully audited, and always available — at any scale.
Frequently Asked Questions
Find answers to common questions about MIRA.
No. MIRA is built for business users, not data analysts. Ask questions in plain English and get instant answers with visualizations. No SQL, no coding, no technical expertise required.
MIRA never reads or stores your raw data. All processing happens within your secure environment, and we use enterprise-grade encryption for data in transit. You maintain complete control over who can access what data, and you can revoke access at any time.
No. MIRA never trains or retains any information from your data without your permission. Your data is not used to train AI in any way, ever. MIRA only retains information that you explicitly share within the scope of your organization to improve your specific experience.
We are constantly adding new integrations. If you need a specific connection not listed here, please reach out to us via email at hello@searchmira.com.
Every answer includes the SQL query and raw data behind it, so you can verify accuracy. If something's wrong, you can provide feedback and MIRA learns from it. Transparency is built in.
Yes! We offer a free trial with 3 file uploads. You can explore the platform, connect your data sources, and create dashboards to see if MIRA is right for your needs.
Yes, we offer custom enterprise plans for larger organizations with specific needs, including dedicated support, custom integrations, and SLA guarantees.