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AxonRow Core

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.