For marketing agencies

Sync client Shopify, Amazon, Meta ads, Google Ads + more into BigQuery or spreadsheets, on your schedule

Multi-source ecommerce for client reporting, without enterprise connector pricing or waiting on procurement. No weekly CSV pulls.

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Free plan
No credit card
From $19/mo
Founder-led setup

Pick where it lands

BigQuery SQL you own

Google Sheets The 8am report

Excel OneDrive workbooks

ChatGPT & Claude Ask a client's spend vs revenue

Dashboards Looker Studio & Power BI

See every source and destination

Trusted by 500+ ecommerce teams

Built for agencies

What agencies use SyncRange for

Multi-account ecommerce into reports you already send

Client reports without five logins

Open the spreadsheet or BigQuery model you already send. Client store revenue and ad spend are already there. No tab-hopping across Meta, Google Ads, and Shopify before the call.

One destination per client

Connect each client's store and ad accounts once. Fresh numbers land in BigQuery or spreadsheets you own, on a schedule, without a VA for copy-paste.

History you can query later

Keep client campaign and order history in BigQuery you own, ready for SQL, long-range reporting, or analysis with AI.

Why teams switch

Open the client report already filled, no five-dashboard copy ritual before the call

Stop the weekly paste. Client store and ads data land in BigQuery or spreadsheets you already run reporting from.

The Old Way

Logging into each client's Meta, Google Ads, and Shopify accounts, copying numbers into a spreadsheet, or paying a VA to do the same every week.

Hours of manual work per client per month

Custom fields left out of basic extracts

Enterprise connector pricing to fix it

The SyncRange Way

Connect client accounts once. SyncRange fills BigQuery or the spreadsheet you already own on your schedule. Pipe, not another BI product.

Set up once per client, runs on your schedule

Reports open already filled in tools you own

No custom pipeline to build or maintain

Depth over connector sprawl

Ecommerce depth into BigQuery or spreadsheets you own

Not a catalog of hundreds of marketing connectors. Multi-source ecommerce for client reporting, without enterprise connector pricing.

Typical data platforms	SyncRange
Hundreds of marketing connectors	Ecommerce depth: Shopify, Amazon, Meta, Google Ads, GA4 + more
Enterprise connector pricing and procurement	Free plan, then from $19/mo. No sales call
Weekly CSV pulls or VA copy-paste	Scheduled exports into BigQuery, Google Sheets, or Excel you own
Another dashboard product for clients to adopt	Pipe into BigQuery, Google Sheets, or Excel you already send
Ticket-based support	Human support on every plan. We ship missing sources

Client reporting inputs

Deep ecommerce for client stacks, not hundreds of connectors

Sync client Shopify, Amazon, Meta ads, Google Ads + more into BigQuery or spreadsheets you own, on a schedule you set. No custom pipeline.

Ads and growth

Client paid media

Campaign spend from the platforms you already manage.

Google Ads

Facebook Ads

TikTok Ads

LinkedIn Ads

Ecommerce

Client stores

Orders and revenue next to the ads you run for them.

Shopify

Amazon Seller

Start free See all integrations

How it works

Connect, choose data, open the report

From client accounts into BigQuery or a spreadsheet you own, without building a custom pipeline.

Connect client accounts

Connect each client's store and ad accounts with secure OAuth. Meta, Google Ads, TikTok, LinkedIn, Shopify, Amazon Seller.

Choose your data

Pick the fields each client model needs, including deep store data basic extractors skip. Set the schedule by plan, from daily to as often as every 15 minutes.

Open the report

Open BigQuery or your spreadsheet already filled. Share with clients. Excel, AI assistants, and BI tools built on those stay current on your schedule.

Start free See all integrations

Where your data lands

BigQuery and spreadsheets you own, plus Excel, AI, and BI on top

SyncRange is the pipe, not another dashboard product. Lead with BigQuery or spreadsheets. Also Excel, ChatGPT, Claude, Gemini, Looker Studio, and Power BI.

BigQuery

Land deep Shopify and ecommerce sources in BigQuery you own. Run SQL, keep long-range history, and power Looker Studio or Power BI without building or maintaining pipelines.

Data warehouse ready for long-term storage
SQL at scale and join with other sources
Power Looker Studio, Power BI, and custom BI tools

Google Sheets

Put store and ads fields into Google Sheets you already run. Refresh on your schedule, keep your formulas and pivots, and share the workbook with the team.

Automated refresh on your schedule
Formulas, pivot tables, and charts
Share workbooks with your team

Microsoft Excel

Export directly to Excel workbooks stored in OneDrive. Each export tab maps to a worksheet in your file, with scheduled refreshes so your team always has up-to-date data in the spreadsheet tool they already use.

Workbooks stored in your OneDrive
Formulas, pivot tables, and charts
Automated refresh on your schedule

AI tools

Ask Claude what last week's MER was, or ChatGPT how Shopify revenue compared to Meta spend. Access is read-only, limited to the sources you choose, and easy to turn off.

Ask questions in ChatGPT, Claude, or Gemini
Read-only access. Assistants cannot change your data.
Secure sign-in, and turn access off from SyncRange anytime

AI Tools overview Setup guides

Looker Studio & Power BI

SyncRange keeps your data fresh for Looker Studio and Power BI dashboards. Combine multiple exports in one dashboard or model.

Looker Studio dashboards for reporting teams
Power BI reports for Microsoft 365 teams
Combine multiple SyncRange exports in one dashboard or model

How Looker Studio fits with Sheets and BigQuery How Power BI fits with Excel and BigQuery

Social proof

Built for ecommerce teams and multi-brand operators

See how teams export clean ecommerce and marketing data to BigQuery, Google Sheets, or Excel without manual work.

SML Cakes

Shopify Store and Food delivery

★★★★★

Super easy to use and has been extremely useful in getting the real time data we need from our Shopify store. Ryan was super helpful in getting started, and responded to questions within minutes. Highly recommend.

Emma L.

Multi-brand Shopify Plus Operator

★★★★★

We run multiple Shopify stores and needed brand-level exports into BigQuery without custom pipeline maintenance. SyncRange gave us reliable scheduled exports and removed hours of manual QA.

UPlay

Large marketplace

★★★★★

We struggled to find a Shopify extraction tool that went beyond basic product, order, and customer data until we found SyncRange. It effortlessly pulls everything we require, including metaobjects and custom fields. SyncRange's hands-on guidance has given us complete confidence.

Hydro Power

Large Shopify Store

★★★★★

SyncRange was very helpful setting up Report Automation for my store. Highly recommend, Ryan made it as simple as possible and was very easy to work with. I recommend.

Product tour

See SyncRange in action

Watch a client reporting setup to BigQuery or spreadsheets in a few minutes.

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From the founder

When store and ads data already sit in BigQuery or your spreadsheet, the work left is the model and the decision, not the paste

Ryan David, the founder of SyncRange

I started SyncRange because I was tired of watching teams burn hours every week copying store and ads data into reports instead of running the model. They needed this data to land automatically in tools they already own, like BigQuery, Google Sheets, and Excel.

One of our customers was manually updating her Google Sheets every day with data from Shopify, Meta Ads, and Google Ads. She was spending almost an hour each morning just to keep her reports up to date so she could monitor where her sales were coming from. Now, everything updates automatically each morning, and she's saved hours each week.

Another customer was hiring developers to build a custom integration into BigQuery, with ongoing maintenance fees. SyncRange gave him the same functionality for a fraction of the cost, and he didn't have to wait months for it to be built.