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A no-code Data Warehouse, built to make your Data Studio reports fast

Connect your marketing platforms, store the data in your own BigQuery warehouse, and get Data Studio reports that load in seconds, even across years of history and dozens of accounts.

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No-code Data Warehouse
BigQuery destination · Data Studio reports
Daily sync
Data Warehouse Google Data Studio
Connect once · store in your warehouse
Marketing sources flow into BigQuery, then Data Studio
Google Business Profile 1 location = 1 credit
Facebook Ads 1 ad account = 5 credits
Google Search Console 1 property = 10 credits
Your BigQuery
Owned by you
facebook_ads
business_profile
search_console
Data
Studio
Historical backfill Hourly sync Reports in seconds
Facebook — No-Code Data Warehouse Report
Reset Share Edit
Weekly Report: Campaign, Adset, Ads
Jul 18 – Aug 14 Homer's Donuts
Spend
$7,844 ↓ 12%
Clicks
8.2K ↓ 9%
Actions
864 ↓ 11%
Top Campaigns
Homer's Donuts Melbourne
Homer's Donuts Sydney
Homer's Donuts Brisbane
Gender · Age
Female 52%
Male 48%
Impressions
2.4M ↑ 6%
Clicks
48.2K ↑ 4%
CTR
2.0% ↓ 1%
Performance by query
homer's donuts melbourne
homer's donuts sydney
homer's donuts perth
Device
Desktop 52%
Mobile 48%
Search impressions
12.4K ↑ 8%
Maps impressions
8.1K ↑ 5%
Calls
142 ↑ 11%
Search keywords
Homer's Donuts
Homer's Donuts - Main Office
Homer's Donuts Melbourne
Search · Maps
Search 52%
Maps 48%
Facebook Ads Search Console Business Profile
circle-4circle-3circle-1circle-2
Data Warehouse

Why create a Data Warehouse?

Centralizing and combining your marketing data allows for better reporting through purpose built databases for handling analytics data at any scale.

All Your Data in One Place

Consolidate your data across multiple channels for quick and efficient reporting

Quick and Easy to get started

Set up takes only a few minutes, and we handle the historic and daily data sync for you

Affordable Price

Pay only for what you need with no commitments and the data is always yours

Organize

What is a Data Warehouse and
how does it work?

A Data Warehouse is simply a centralized place to store and organize your marketing data.

Data Warehouses are different to normal data storage as they are purpose built to handle analytic workloads so your reports will be faster to load and you can easily combine data from multiple sources to get a single view.

1. Collect 2. Structure 3. Store & report
No-code Data Warehouse
BigQuery destination · Data Studio reports
Daily sync
Search Console
Facebook Ads
Business Profile
No-code Data Warehouse Connect once · no SQL
DateSourceFieldValue
18 AugSearch Consolequerydonuts melbourne
18 AugSearch Consoleclicks1,204
18 AugSearch Consoleimpressions88.4k
18 AugSearch Consoleposition4.2
17 AugSearch ConsoledeviceMOBILE
17 AugSearch Consolecountryaus
18 AugFacebookcampaign_nameMelbourne
18 AugFacebookspend$842
18 AugFacebookimpressions88.4k
17 AugFacebookreach42.1k
17 AugFacebookctr2.1%
18 AugBusiness ProfilelocationNameMelbourne
18 AugBusiness ProfilecallClicks18
17 AugBusiness ProfilesearchImpressions412
16 AugBusiness ProfiledirectionRequests9
Your BigQuery
Tables from Jepto fields
search_console
jepto_ad_insight
jepto_ad_age_gender
business_profile
GSC Pro — Search Console No Code Data Warehouse Report
Edit
Google Search Performance Report
Jul 18 – Aug 14 Homer's Donuts
Impressions
2.4M ↑ 6%
Clicks
48.2K ↑ 4%
CTR
2.0% ↓ 1%
query
homer's donuts melbourne
homer's donuts sydney
homer's donuts perth
device
Desktop 52%
Mobile 48%
Warehouse-backed reporting

Why standard Data Studio connectors fall short

A normal connector doesn't store any data, it fetches from the source every time you open a report. That gets slower with longer date ranges and more accounts.

Standard connector

Live fetches on every open

  • Fetches data live on every report load
  • Gets slower with longer date ranges
  • Breaks or stalls during source API issues
Jepto warehouse

Stored once in your BigQuery

  • Data fetched and stored in your own BigQuery, daily
  • Complex, multi-year reports load in seconds
  • Reports keep working even during source API issues
  • No limits on users or accounts you add
  • All historic data fetched and stored, once

Same Data Studio experience, backed by your no-code Data Warehouse.

Data Warehouse credits

Connect your favorite marketing tools

Every warehouse connection is metered in simple, per-account credits — $1 per credit, per month.

1 credit

Google Business Profile

1 location = 1 credit. Ideal for local SEO portfolios reporting in Data Studio.

Explore source
5 credits

Facebook Ads

1 ad account = 5 credits. Pull spend and performance into fast warehouse-backed reports.

Explore source
10 credits

Google Search Console

1 property = 10 credits. Keep query and page data ready for long-range SEO reporting.

Explore source

Credits are optional add-ons on any plan. See pricing · Browse all data sources

How it works

How do I create a Data Warehouse?

Select a data source and destination to create a pipeline. Jepto backfills history, then syncs new data continuously. No code, nothing to install. Once it's live, report from Data Studio or query with SQL.

1. Select Data Source and Destination

Data Warehouse

2. Monitor your data syncing

Data Warehouse

3. Analyze in Data Studio or SQL

Data Warehouse
Data Studio reporting

From account to live report, without the engineering wait

Agency teams get warehouse-backed Data Studio reports set up fast, with templates and live chat when you need a hand.

Set up in under 5 minutes

Create a Jepto account and connect your data to Data Studio in under five minutes.

No code · No install

Free support and customization

Our team helps you customize your Data Studio report so you get the most from your data, live chat included.

Live chat included

Pre-built templates

Start from templates covering a range of visualizations, then adjust to fit your client's brand.

Client-ready layouts

Frequently asked questions

Data Warehouse and Looker Studio reporting — answered simply.

A Data Warehouse is the centralized storage of your marketing (and possibly other) data for querying and reporting.

A Data Source is where the data comes from and the Destination is where it's stored. For example, Google Business Profile is a source and Google BigQuery is a destination.

Despite sounding technical, a warehouse is just centralized data storage. In Looker Studio it's almost invisible — you get the same drag-and-drop connector experience, just backed by BigQuery's speed.

Each warehouse connection consumes credits based on data complexity. Credits are $1/month each and can be added to any plan — see pricing for what each source costs.

You get 10 credits to create pipelines, and all historical data is included. Need help sizing a plan afterward? Just ask.

No penalties. Cancel any time from the subscription section of the app — your plan runs until the end of the billing period, and your data stays in your own BigQuery.

Yes — get in touch and we'll walk through costs and the right plan for your client portfolio.

Get Started Today

Start asking your data smarter questions today. Connect your first data source in minutes.

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