Onboarding & Data Readiness
What to expect in your first 30 days — which data appears when, what to trust immediately, and how to evaluate your first profit reports.
What Happens When You Connect
You've completed the OAuth flow. AxonRow now has read-only access to your TikTok Shop data. Here's what happens next — and what you'll see at each stage.
Day 0: Initial Sync (Minutes)
The first sync runs immediately after connection:
- Settlement data: Up to 90 days of settlement transactions pulled. Most of this (60+ days) is already fully settled — you get high-confidence profit numbers instantly for your recent history.
- Product catalog: All active SKUs with pricing and variant info.
- Shop metadata: Shop name, region, category, commission rates.
What you can see immediately: Your 5-bucket P&L for the last 2-3 months. Per-SKU profit for settled orders. Fee breakdown by category. This is real data, not estimates — these orders already went through TikTok's settlement process.
Day 0-1: Extended Sync (Hours)
Within the first 24 hours, additional data sources begin syncing:
- Creator performance: Up to 180 days of affiliate-driven sales data (daily granularity, API limit)
- Bestselling data: Product, creator, video, and live rankings (1D/7D/30D snapshots)
- Video performance: Up to 180 days of video analytics (views, GMV, orders per video)
- Live session data: Livestream sessions with per-product breakdown
Note: Creator and video performance data accumulates daily from the point of connection. Settlement data provides the historical depth — creator/video analytics build over time as daily syncs run.
Day 1-3: Ads Data (If Connected)
If you connect your TikTok Ads account (separate OAuth):
- GMV Max campaigns: Last 90 days of campaign, product, creative, and hourly data
- Ad spend attribution: Spend mapped to products and creatives
- True ROAS calculation: Ad spend joined with settlement profit (not GMV)
What becomes available: Ads Intelligence views, True ROAS numbers, creative performance funnels, and the full Creator × Ad × Product attribution chain.
Day 1-7: Understanding the "Gap"
During your first week, you'll notice a gap in data quality between recent and historical:
Fully Available (High Confidence)
- Orders from 30+ days ago: fully settled, complete fee breakdown
- Historical trends, averages, and baselines
- Product-level and creator-level contribution analysis
Partially Available (Medium Confidence)
- Orders from 7-30 days ago: mix of settled and unsettled
- Profit estimates with growing accuracy as settlement data arrives
- Trend direction is reliable, exact numbers may shift 5-10%
Estimated Only (Low Confidence)
- Orders from last 7 days: mostly unsettled
- Profit shown using T+1 estimation model (based on your historical fee patterns)
- Use for directional decisions, not P&L reporting
This isn't a limitation of AxonRow — it's how TikTok Shop settlement works. See Settlement Lifecycle for the full explanation.
Day 7-14: Estimation Calibration
As your first week of unsettled data starts getting finalized by TikTok, AxonRow compares estimates vs actuals. This calibrates the T+1 estimation model specifically for your shop's patterns:
- Your specific return rate by product category
- Your actual fee breakdown distribution
- Your settlement timing patterns (some categories settle faster)
After this calibration, future estimates become more accurate (typically within 3-5% of final for most shops).
Day 14-30: Steady State
By day 14, you're in steady state:
- Daily sync pulls new settlement data, creator performance, and bestselling snapshots
- Previously unsettled data gets finalized as TikTok processes it
- Forecast model has enough data to produce 7-day projections
- Break-even calculations are calibrated to your actual cost structure
By day 30, the forecast model extends to 30-day projections with meaningful confidence intervals.
What to Do in Your First Week
Day 1: Review Historical Profit
- Look at settled data from 2-3 months ago — this is your baseline
- Identify your top and bottom SKUs by contribution margin
- Check your blended fee rate (total fees ÷ total GMV) — most sellers are surprised
Day 2-3: Explore Cross-Entity
- Which creators drive your highest-margin products?
- Which products look good on GMV but have thin/negative margins?
- If ads are connected: which campaigns have profitable True ROAS vs vanity ROAS?
Day 4-7: Set Your COGS
- Input your cost-of-goods for each SKU (Goods Management in your dashboard)
- Without COGS, profit calculation only accounts for platform deductions
- With COGS, you get true net margin — the number that actually matters
Day 7+: Start Acting
- Directional decisions are safe: which creators to scale, which to pause
- Ad spend allocation adjustments based on True ROAS
- Product pricing decisions based on actual margin (not assumed margin)
When Data Is "Ready"
There's no single moment. Instead, think of readiness by use case:
- Immediate (Day 0): Historical P&L, fee breakdown, top/bottom SKUs
- Day 1-3: Creator and content performance views
- Day 7: Directional decisions (trend, relative comparisons)
- Day 14: Calibrated estimates, short-term forecasting
- Day 30: Full confidence in all metrics, 30-day forecasting, settled P&L for last month
The key insight: you don't have to wait 30 days to get value. Day 0 already gives you 2-3 months of settled historical data that most sellers have never seen broken down to this level. The first week is about exploration; the following weeks are about increasing confidence in forward-looking metrics.