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Harlow Freight

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Which regions grew slower than last quarter, and why?

Reading schema
Writing query
Running in your warehouse
Checking the result

Midwest and Mountain grew slower than last quarter. New customers held steady. Repeat orders fell.

Repeat orders by region, this quarter vs. lastThis quarterLast quarter

Pacific1,284+7.8%

Northeast1,106+4.1%

South968+6.3%

Midwest742−9.1%

Mountain418−9.7%

Based on 3 tablesorderscustomersregionsView queryView rows

Ask a follow-upShareSchedule weekly

742 rows behind this number

Repeat orders in the Midwest this quarter

where region = 'Midwest' and is_repeat

Order	Customer	Date	Total
HF-20418	C-1182	Jul 2	$1,240
HF-20533	C-0947	Jul 3	$860
HF-20611	C-1310	Jul 5	$2,015

Open all rowsShowing 3 of 742

Harlow Freight

Read-only

Which regions grew slower than last quarter, and why?

Reading schema
Writing query
Running in your warehouse
Checking the result

Midwest and Mountain grew slower than last quarter. New customers held steady. Repeat orders fell.

Repeat orders by region, this quarter vs. lastThis quarterLast quarter

Pacific1,284+7.8%

Northeast1,106+4.1%

South968+6.3%

Midwest742−9.1%

Mountain418−9.7%

Based on 3 tablesorderscustomersregionsView queryView rows

Ask a follow-upShareSchedule weekly

742 rows behind this number

Repeat orders in the Midwest this quarter

where region = 'Midwest' and is_repeat

Order	Customer	Date	Total
HF-20418	C-1182	Jul 2	$1,240
HF-20533	C-0947	Jul 3	$860
HF-20611	C-1310	Jul 5	$2,015

Open all rowsShowing 3 of 742

In use at

Harlow Freight

Saltmarsh Supply

Oakhurst

Manufacturing

ferncliff/market

wrenfield home

Linden & Pike

From question to checked answer

Warehouse

analytics

User

logit_reader

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Which customers ordered less this quarter, and why?

Plain English

Ask

Ask like you’d ask a colleague

Type the question in plain English. You don’t need SQL or a dashboard first.

select customer_id, count(*)
from orders
where ordered_at >= '2026-07-01'
group by 1 -- one row per customer

Checked before it answers

It writes, runs, and checks the query

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Customer

This quarter

Last

C-0947

C-1182

C-1310

Rows behind the answer

Open

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Midwest and Mountain grew slower than last quarter. Repeat orders fell.

Query

Rows

Checks

Assumptions

Ran in your warehouse

Copy SQL

1-- Repeat orders by region, this quarter vs. last
2select r.name as region,
3  count(*) filter (where o.ordered_at >= '2026-07-01') as this_q,
4  count(*) filter (where o.ordered_at <  '2026-07-01') as last_q
5from orders o
6join customers c on c.id = o.customer_id  -- one row per order
7join regions r on r.id = c.region_id
8where o.is_repeat
9  and o.ordered_at >= '2026-04-01' and o.ordered_at < '2026-10-01'
10group by 1 order by this_q desc;

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Weekly revenue by channel

Monday, 8:00 AM

Wholesale fell below its usual range. Direct and marketplace held steady.

Direct

$182k

Wholesale

$84k

Marketplace

$117k

Accounts that churned, and why

Monday, 8:00 AM

Four accounts left this week. Three had late deliveries in August.

A-2291

A-3107

A-1846

A-2750

Products running low on stock

Monday, 8:00 AM

Six products run out before the next restock. Two sell out this week.

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How Logit reads it

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Queried where it lives

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Database

Queried where it lives

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Postgres

1-- A user that can read and nothing else
2create user logit_reader with password '••••••••';
3grant usage on schema analytics to logit_reader;
4grant select on all tables in schema analytics to logit_reader;
5-- No insert, update, or delete. Revoke it anytime:
6-- revoke all on schema analytics from logit_reader;

1-- A user that can read and nothing else
2create user logit_reader with password '••••••••';
3grant usage on schema analytics to logit_reader;
4grant select on all tables in schema analytics to logit_reader;
5-- No insert, update, or delete. Revoke it anytime:
6-- revoke all on schema analytics from logit_reader;

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Ask your data.Check every number.

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From question to checked answer

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Connect read-only

Ask like you’d ask a colleague

It writes, runs, and checks the query

You check the work

An answer you can’t check isn’t an answer.

An answer you can’t check isn’t an answer.

An answer you can’t check isn’t an answer.

The query

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Watch a question become an answer

Watch a question become an answer

Ask once. Get the answer every Monday.

Ask once. Get the answer every Monday.

Connect the data you already have

Connect the data you already have

Built for the person who approves access

Built for the person who approves access

Read-only by design

Queries run where your data lives

We don’t train on your data

Questions

Questions

Ask the question you’ve been putting off.

Ask the question you’ve been putting off.

Ask your data.
Check every number.

Ask your data.
Check every number.