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CEO
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What brands like yours are saying

Trusted answer, not a 10-day wait
45 min

“The Saras Analytics MCP will likely be the most impactful AI tool we use this year.”

Connor MacDonald
CMO, Ridge
Know which customers are worth fighting for
$1.1M

“Saras Customer 360 helped us target the right customers through personalized communication.”

Alex Faherty
CEO, Faherty
Inventory under control before it costs you
3 months

“We got into a phenomenal place with our inventory position. I think of inventory as capital.”

Operations leadership
COO office, Posh Peanut
Stop logging in. Start getting context.
Weekly AI report

“I don’t want to log in. I want a report. Every Monday I get my MDNA.”

Pasha Shapiro
Founder, Posh Peanut
Trusted answer, not a 10-day wait
45 min

“The Saras Analytics MCP will likely be the most impactful AI tool we use this year.”

Connor MacDonald
CMO, Ridge
Know which customers are worth fighting for
$1.1M

“Saras Customer 360 helped us target the right customers through personalized communication.”

Alex Faherty
CEO, Faherty
Inventory under control before it costs you
3 months

“We got into a phenomenal place with our inventory position. I think of inventory as capital.”

Operations leadership
COO office, Posh Peanut
Stop logging in. Start getting context.
Weekly AI report

“I don’t want to log in. I want a report. Every Monday I get my MDNA.”

Pasha Shapiro
Founder, Posh Peanut
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Javvy Coffee
Eskiin
Wellbeam
gymreapers
Decathlon
roller-rabbit
posh-peanuts
saxx
Truewerk
ridge
mgemi
naked nutrition
murad
BPN
faherty
earth-breeze
weezie
true-classic
hexclad
athletic-greens
momentous
Measured outcomes

Answers that let you make an impact on your P&L

$1.1M
Incremental revenue
Driven by customer cohort targeting and direct mail optimization, with 5% less ad spend
45 min
Time-to-insight
Down from 10-day analysis cycles. Every team working from the same trusted data
+55%
RoAS improvement
From identifying which customer segments actually drive return value, not just attribution
Posh Peanut  ·  Children’s Apparel

Clean inventory position. 90 days. Then AI took over.

Posh Peanut came in with a major inventory problem: wrong products in wrong channels, capital locked up, no reliable read on what was moving. Three months of weekly read-and-react sessions with Saras-built dashboards resolved it. Now they’re replacing those dashboards with AI-generated executive narrative reports, every Monday morning.

3 moInventory resolved
WeeklyAI narrative reports
3 pillarsInventory · Marketing · Assortment
“

I don’t want to log in. I don’t want to look at a dashboard. I want the context to go with it. I call it my MDNA report.

Jenna Habayeb
President, Posh Peanut
Posh Peanut  ·  The data foundation story~6 min
Posh Peanut  ·  The AI report story~4 min
What you hired your data stack to do

The question that couldn’t wait, answered in minutes

Two brands. Different questions. The same problem: the answer arrived too late to act.

Faherty  ·  Omnichannel Apparel
Know which customers are worth fighting for
$1.1M
incremental revenue · +46% YoY · +55% RoAS
01
Identify high-value segments before they churn
CLTV-based micro-segmentation flagged dormant customers with high reactivation potential, before they were lost for good.
02
Make direct mail pay for itself
Incrementality testing on Guidebook and Catalog campaigns proved ROI on channels that were previously a guess.
03
Spend less and make more
Refined audience targeting dropped ad spend 5% while improving RoAS 55%. Same budget, better allocation.
Read full case study →Shopify · Klaviyo · GA4 · Google Ads
Ridge  ·  9-Figure DTC
Get a trusted answer without a 10-day queue
45 min
time-to-insight · down from 10 days · 320× faster
01
Answer a portfolio question in under an hour
Bundle performance, product mix, pricing questions — previously a 10-day analyst queue — now resolved in one AI conversation.
02
Run business reviews without building a deck
Weekly reporting is now AI-generated and distributed automatically. The analyst builds strategy, not slides.
03
Get every team off their own version of the truth
Paid media, product, finance and ops now share one metric layer. The conflicting-number arguments are over.
Read full case study →Shopify · Northbeam · Saras Pulse
In their own words

How AI changed the way D2C operators talk to data

Not “we built a data warehouse.” What changed in how people actually make decisions.

“

For most brands, the ability to make AI effective depends on the quality of the underlying infrastructure. Brands don’t spend enough time organizing their data. The Saras Analytics MCP will likely be the most impactful AI tool we use this year.

Connor MacDonald
CMO  ·  Ridge
“

Saras Customer 360 provided us with advanced customer cohorts with CLTV analysis across segments and channels, helping us target the right customers through personalized communication.

Alex Faherty
CEO  ·  Faherty
“

Every Monday I get an MDNA report: an AI-generated narrative that covers sales performance across channels, marketing metrics, new vs. returning customers. This is what I need as a senior executive. I just keep adding more to it.

Jenna Habayeb
President  ·  Posh Peanut
“

We were sitting on a pretty big inventory problem. Saras helped us bucket and cut all our data so that every week we could pull up the dashboard, reading and reacting the business. In three months we got into a phenomenal place.

Cherene Aubert
Posh Peanut  ·  COO office

The 45-minute difference

Before vs. After Saras

The shift isn't a dashboard upgrade. It's a change in how fast and confidently decisions get made.

✕ Without Saras

01

10-day wait for any analysis that requires crossing more than one data source

02

Paid media, product, and finance teams arguing from different numbers

03

Customer segmentation too coarse — best customers get the same treatment as everyone else

04

No SKU-level margin visibility before committing to inventory buys

05

Analysts spending 3 days rebuilding the same weekly deck, by hand

06

Attribution numbers that don't match the P&L. Optimization built on the wrong signal.

✓ With Saras

01

Trusted answer in 45 minutes: paid media, product, ops, and leadership all aligned

02

One metric layer: finance, marketing, and product all agree on the numbers

03

CLTV-based micro-segments that move retention and RoAS, not just reach

04

SKU-level contribution margin before the purchase order goes out

05

AI produces weekly reports automatically. Analyst capacity goes to actual decisions.

06

Attribution connected to margin: know which channels are actually profitable

Ready when you are

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your data already knows

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