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Getting Started

Overview

Sanluna is a GTM intelligence platform for eCommerce brands. It combines three tools into one workspace: Luna AI for go-to-market evaluation and strategy, the Analytics Agent for natural-language data queries and charts, and Brand Documents for giving both agents context about your brand.

Together they give early-stage eCommerce founders data-driven strategy that previously required a full marketing team — without managing separate analytics tools, consultants, or a data team.

Quick Setup

Four steps to your first GTM evaluation and data insights:

1
Connect your integrations
Link Meta Ads, Google Ads, and GA4 in Integrations. Luna AI reads these automatically in every conversation — no manual data entry needed.Go to integrations
2
Upload brand documents
Go to Brand Resources and upload your pitch deck, brand guide, or ICP doc. Both Luna AI and the Analytics Agent use this to understand your brand context.Go to documents
3
Run your first Luna AI evaluation
Open Luna AI and start a new conversation. Type "Evaluate my GTM strategy" — Luna scores your readiness, identifies gaps, and delivers a prioritised action plan.Go to evaluation
4
Ask the Analytics Agent a question
Open Analytics Agent and ask "Show me ad spend by platform last month." The agent writes the SQL, runs it, and streams a chart inline.Go to question
Luna AI

What Luna AI Does

Luna AI is your GTM consultant. In a single conversation it can run a full go-to-market evaluation, score your brand's readiness from 0 to 100, surface strengths and gaps with severity ratings, and deliver a prioritised action plan with impact and effort scores on every recommendation.

Luna pulls live data from your connected integrations automatically — Meta Ads ROAS, Google Analytics sessions, landing page analysis, pixel detection, and more. Every number in its evaluation comes from your actual accounts, not estimates.

After a full evaluation you can continue the conversation to drill deeper on any recommendation, ask follow-up questions, or request focused analysis on paid ads, conversion rate, or email.

Try asking Luna AI
"Evaluate my GTM strategy"
"Why is my ROAS dropping?"
"Is my landing page converting?"
"What should I fix first?"
"Review my paid ads strategy"

Evaluation Output

A full GTM evaluation returns the following fields:

FieldDescription
Score0–100 GTM readiness score based on your connected data.
StrengthsWhat's working well, backed by specific data points from your accounts.
GapsWhat's broken or missing. Each gap is rated critical, moderate, or low.
RecommendationsPrioritised action plan. Every item has an impact score (1–10), effort score (1–10), and a priority rank.
Next StepThe single most important action to take right now.
CategoryConversation type: GTM Evaluation, Paid Ads, Conversion, or General.
Needs ReviewFlagged when critical gaps are found or data was incomplete — surfaces conversations where a human strategist should follow up.

Data Sources

Luna reads the following sources automatically once platforms are connected in Integrations. No manual input needed after the initial setup.

SourceWhat Luna reads
Meta AdsROAS, CTR, ad spend, purchases, conversion rate (last 30 and 90 days)
Google AdsROAS, CTR
Google Analytics (GA4)Sessions, users, bounce rate, pageviews, average session duration
Instagram / Facebook / YouTube / TwitterFollower count, engagement rate
Landing pageCTA above fold, trust badges, reviews, mobile readiness
Page speedMobile and desktop scores, Largest Contentful Paint (LCP)
Tracking pixelsMeta Pixel, GA4, Google Tag Manager, TikTok Pixel detection
Brand documentsUploaded pitch decks and brand guides — retrieved via RAG for relevant context in each conversation
Competitor intelligenceCompetitor headlines, value props, and key features
Computed metricsROAS, CAC, LTV:CAC, deal win rate, email open rate — calculated from raw data

Service Areas

Luna's recommendations are tagged by service area so you can see at a glance which part of your funnel each action addresses.

TagCovers
StoreConversion rate optimisation, landing page quality, funnel improvements
AdsPaid advertising strategy — Meta, Google, TikTok
SEOSearch visibility, organic traffic
ContentContent strategy, social content
EmailEmail marketing, open rates, sequences
Analytics Agent

Asking Questions

The Analytics Agent answers questions about your brand's data in plain English. Type your question and the agent writes the SQL, executes it, and streams the result as an inline chart or table — no dashboards to configure, no SQL to write yourself.

Questions can span ad performance, web analytics, email campaigns, and CRM data across any connected platform and any supported time range.

Ad performance

"Show me impressions by platform this month"
"How much did we spend on Google Ads last quarter?"
"Compare CTR across Meta, Google, and TikTok over the last 90 days"
"Which ad platform had the highest ROAS in March?"

Web analytics

"Show me weekly sessions and pageviews for the last 6 weeks"
"What's our bounce rate trend over the last 30 days?"
"How many new users did we get last month?"

Email

"Show open rates by campaign this month"
"What's our unsubscribe trend over the last quarter?"
"Which email had the highest click rate?"

CRM & deals

"How many deals did we close last month?"
"Show me deal pipeline by stage"
"What's our revenue from closed-won deals this year?"

Cross-channel

"Compare spend vs revenue across all platforms last month"
"Show me a breakdown of impressions and clicks by platform"

Chart Types

The agent automatically picks the right chart type based on the data shape. You can also request a specific type in your message.

TypeBest forExample prompt
BarComparing values across categories"Show spend by platform as a bar chart"
Grouped barMultiple metrics side-by-side per category"Compare impressions and clicks by platform"
Stacked barContribution breakdown over time"Show spend breakdown by platform over months"
LineTrends over time"Show weekly sessions over the last 3 months"
ComboVolume + rate on one chart"Show impressions and CTR over time"
PieShare / distribution"Show impressions share by platform as a pie chart"
ScatterCorrelation between two metrics"Plot spend vs ROAS by platform"
FunnelConversion stages"Show our deal pipeline as a funnel"
HeatmapTwo-dimensional patterns"Show clicks by platform and week as a heatmap"
TableRaw data"Show me the raw ad metrics for last month"

Refining Charts

After a chart is generated, send a follow-up message to change its appearance. The agent updates the style without re-running the underlying query.

Colors

"Make all bars blue"
"Change the Meta bar to orange"
"Use platform brand colors"

Highlights

"Make the bar with the highest value red"
"Highlight the Google Ads bar in March"
"Highlight the Meta bar in February"

Title & annotation

"Change the title to 'Q1 Ad Spend by Platform'"
"Add an annotation: Meta dominates impressions"
"Remove the annotation"

Layout

"Flip to horizontal"
"Sort by value descending"
"Show exact numbers instead of compact format"

Series

"Remove TikTok from the chart"
"Show only impressions and clicks"

Supported Time Ranges

Use natural language to specify the time window. The agent understands the following expressions:

Relative
"this month""last month""last 7 days""last 30 days""last 90 days"
Period
"last quarter""this year""last year""year to date"
Named
"in March""in Q1""in February""in Q4"

Example Prompts

Copy any of these to get started with the Analytics Agent:

Ads
"Show me impressions by platform this month"
Ads
"Compare CTR across Meta and Google last quarter"
Ads
"Which ad platform had the highest ROAS in March?"
Web
"Show weekly sessions for the last 6 weeks"
Email
"Which email campaign had the best open rate?"
CRM
"Show our deal pipeline as a funnel"
Cross-channel
"Compare spend vs revenue across all platforms last month"
Ads
"Show spend breakdown by platform over the last 3 months"
Brand Documents

Uploading Documents

Brand documents give both Luna AI and the Analytics Agent context about who you are, who you sell to, and how you position yourself. The more context the agents have, the more accurate and brand-specific their responses become.

Go to Brand Resources to upload documents. Supported formats include PDF, DOCX, and plain text.

Pitch deckContains ICP, positioning, market size, and key differentiators.
Brand guideTone of voice, messaging pillars, visual identity.
ICP documentIdeal customer profile — industries, job titles, company sizes, pain points.
Pricing sheetPricing tiers, product packaging, revenue model.
Upload before your first evaluation
Uploading at least one brand document before running a Luna AI evaluation gives Luna the positioning and ICP context it needs to make recommendations specific to your brand — not generic advice.

What Gets Extracted

When a document is processed, Sanluna extracts structured brand intelligence across four categories. This data feeds directly into Luna AI's evaluation context and allows both agents to give brand-specific answers.

CategoryWhat gets extracted
ICPIndustries, job titles, company sizes, and key pain points of your ideal customer profile.
PositioningProduct category, primary differentiators, and core value proposition.
MessagingKey messages, tone of voice, and communication themes.
PricingPricing tiers, pricing signals, and revenue model indicators.
Integrations

Connected Platforms

Connect your platforms once in Integrations. Luna AI reads this data automatically in every conversation — no copy-pasting numbers, no manual exports.

PlatformWhat it unlocks
Meta AdsROAS, CTR, ad spend, purchases, conversion rate — last 30 and 90 days
Google AdsROAS and CTR for search and display campaigns
Google Analytics (GA4)Sessions, users, bounce rate, pageviews, average session duration
InstagramFollower count and engagement rate
Facebook PageFollower count and engagement rate
YouTubeSubscriber count and engagement metrics
Twitter / XFollower count and engagement rate
Start with Meta Ads and GA4
Luna AI's evaluation quality improves significantly with more connected platforms. Start with Meta Ads and GA4 — those provide the most signal for GTM readiness scoring.