Free planning tool
Price monitoring traffic planner
Plan the traffic behind a useful price check. Use the bytes from a sample run and the observations you actually accepted, then scale by products, markets and schedule.
No account needed. For collection you own or have permission to run.
Your traffic plan
Fictional example
25.92 GB
Fictional example: 25.92 GB for 240,000 planned valid observations.
Estimated traffic for 240,000 valid observations, if this sample represents the planned workload.
- Bytes per valid observation
- 90,000
- Base estimate
- 21.6 GB
- Headroom allowance
- 4.32 GB
These inputs are not measured evidence. Use them to understand the calculation, then rerun it with your own sample.
If a sample produces no valid observations, fix the collection job first. There is no useful per-observation estimate to scale.
Review current proxy pricingThis is a forecast, not a bill or a promise that a check will succeed. Your traffic meter is the billing reference; client counters can cover different bytes.
The method
A response is not always a price check.
Count one valid observation when your collector confirms the intended product, variant, seller and required price fields. A status 200 with an empty template, wrong pack size or missing currency does not count. Keep missing shipping or tax information as missing.
The sample byte total covers the entire bounded run: successful responses, failed attempts, redirects, uploads and retries within the counter’s scope. Divide that total by valid observations. The ratio allocates the sample’s unsuccessful work across the results you could use.
Use the same browser resources, cache policy and collection rules for the sample and forecast. If a market needs a different workflow or schedule, calculate it separately and add the estimates. One cheap sample should not stand in for every storefront.
The arithmetic, in plain view
- 01 Bytes per observation = all sample bytes ÷ valid observations.
- 02 Planned observations = products × markets × checks per day × days.
- 03 Estimated GB = bytes per observation × planned observations × (1 + headroom ÷ 100) ÷ 1,000,000,000.
Fictional example: 10,800,000 sample bytes ÷ 120 valid observations = 90,000 bytes each. A schedule of 1,000 products × 2 markets × 4 checks × 30 days needs 240,000 observations. That is 21.6 GB, or 25.92 GB with 20% headroom.
Collect a useful sample
Keep enough context to repeat it.
Define acceptance
Write down the product identity and fields a valid observation must contain. Keep the same acceptance rule when evaluating the sample and the full run.
Isolate the run
Record its start and end, configuration and counters. Pause unrelated account jobs when comparing a sample with account usage, and allow for the meter’s refresh.
Check the variation
Repeat representative cases across the markets and workflows you need. Headroom is a chosen allowance; one sample cannot establish a reliability guarantee.
Browser resource sizes are useful for investigating a run, but transferred and uncompressed sizes differ. Cache and protocol overhead also affect what a counter includes. See the Chrome Network panel reference, then reconcile your sample with account usage before ordering at scale.
For a workload using Coronium, its price-monitoring overview describes that service’s offer. Measure the configuration you actually use before bringing those sample values into this planner.
Next steps