Big spenders, slowing down
Lifetime spend in your top 10%, purchase frequency falling.
Why it may matter: a check-in before they lapse.
Posty SignalYour store knows more than it tells you.
Signal connects what shoppers do, who they are and what they buy, so you can see what sets your best customers apart and turn it into Klaviyo audiences that stay current.
Built on the data you already have.
Signal/AskYou asked
Signal is reading 12,841 customers
Signal
Your top 10% by lifetime spend, against every other customer
Top 10%Everyone else
First order included Lighting
Viewed 5+ products before their first order
First visit came from organic search
Correlation, not cause. 7% of customers have no known first-visit source and are left out of the last row.
Turn any answer into a cohort.It stays current on its own.
New cohortDraft
Lighting browsers, not yet buyers
Viewed Lighting 3+ times in 30 days
AND
Orders equal 0
AND
Email is known
0
people match · evaluated just now
AKJMRTSL
Keep in sync with Klaviyo
Joins and leaves update on their own.
Syncing 2,316 profiles to Klaviyo
Illustrative data from a sample store.
01The gap
Your customer lives in four tabs.
Orders sit in Shopify. Sessions sit in analytics. Audiences sit in Klaviyo. Whatever you know about who people are sits in a spreadsheet nobody has opened since the last planning cycle. One good question costs three exports and an afternoon, and the answer is stale before it reaches a campaign.
Tab 1
Shopify
KnowsWhat they bought, when, and for how much.
Can't tell youWhat they looked at first.
Tab 2
Your analytics
KnowsWhat a session did.
Can't tell youWhose session it was.
Tab 3
Klaviyo
KnowsWho opened and who clicked.
Can't tell youWho is quietly drifting away.
Tab 4
The spreadsheet
KnowsWhatever someone pasted in last quarter.
Can't tell youAnything since.
Connect once. Signal keeps up.
Connect your store and Signal imports the order history available to it, then keeps it updated alongside on-site behavior and enrichment. You always see import progress, the last successful update and any errors. Retries never create a duplicate order, event or profile.
Shopify
Orders and customers
On-site behavior
Events, sessions and session replay
Enrichment
Professional and household context
Klaviyo
Audience sync
02How it works
Current, potential, action.
One loop, from what the data says to an audience you can use. Signal shows its working at every step.
Customers 12,841
All connected data1 pattern worth testing1 live cohort
CustomerLifetimeFirst touchMost viewed
MOMaya O.$1,140OrganicLighting ×4
AKAna K.$310Paid socialBedding ×2
JMJon M.$2,310OrganicLighting ×7
LSLena S.$95EmailKitchen ×1
RTRavi T.$1,880OrganicLighting ×5
IPIris P.$640ReferralBath ×3
THTom H.$1,420InstagramLighting ×6
DBDev B.$220AffiliateKitchen ×2
Pattern worth testing
Top spenders viewed five or more products before their first order far more often than everyone else.
Top 10%61%
Others27%
Correlation, not cause · n 12,841
CohortLive
Lighting browsers, not yet buyers
Viewed Lighting 3+ times in 30 days
Orders equal 0 · Email is known
2,316people · evaluated 2 min ago
Klaviyo
Synced just now · 0 errors
01
Current
What the data says.
Every visitor and customer in one connected view: orders, behavior, acquisition and enrichment. Each field keeps its source and timestamp, so you always know what you're looking at.
02
Potential
What is worth testing.
Patterns and relationships, surfaced only when the data supports them. Each one comes with its definition, its sample size and the reason it might matter.
03
Action
What you do about it.
Turn a finding into a living cohort and keep it current in Klaviyo as people join and leave. No exports, no stale lists.
03Profiles
One profile, from first visit to fifth order.
Every eligible visitor starts with a behavioral profile, before you know their name. When a reliable, permitted identifier turns up, like a sign-up or an order, Signal connects their earlier activity to the customer record. It never merges two people on a weak clue like a shared IP address.
- Orders, products, spend, discounts and returns
- Page views, searches, carts and available session replays
- First and latest touchpoint, with UTMs kept per session
- Lifetime spend, order value, frequency and time between orders
- Custom and calculated fields, added without a rebuild
MO
In 2 cohorts
Maya Okafor
Customer since Feb 2026 · 5 orders
Lifetime spend
$1,140
Avg order
$228
Between orders
41 days
Since last order
12 days
Attributes · hover a source
Job functionDesignEnrichment providerRefreshed 2 Nov 2026Match confidence: high
SeniorityManagerEnrichment providerRefreshed 2 Nov 2026Match confidence: medium
First touchInstagram · spring-dropOn-site behaviorSession of 12 Feb 2026, 19:42Kept per session, never overwritten
Ships toBrooklyn, NYShopifyOrder #1188 shipping addressUpdated 2 min ago
PhoneNot on fileNo value returnedShown as missing, never as zeroNothing is guessed to fill it
Activity
24 OctReplay unavailable · no consent
Viewed Lighting 4 times
No purchase
03 Apr
Order #1188 · $212
Linen throw, two cushion covers
14 Feb
Signed up, then Order #1042 · $186
Identified by email. 2 earlier sessions connected.
12 Feb
Anonymous visit
Instagram · utm_campaign=spring-drop · 6 pages
fernhillhome.com/lighting12 Feb · 19:42 · 6 pages
0:141:52
04Cohorts
Lapsing high spenders
Evaluated 6 min ago
Include people where · try it
Lifetime spendis at least
ANDDays since last orderis more than
ANDPurchase frequencyis falling over6 months
Exclude people who
Started a returnin the last30 days
In plain words
Customers who have spent $800 or more, haven't ordered in 90 days and are buying less often than before. Anyone who started a return in the last 30 days is left out.
642match+0 vs saved
Audiences that update themselves.
Combine conditions, exclusions, date windows and event counts. Before you save, Signal shows the rule in plain words, how many people match and a sample of who they are. After that, people enter and leave as their behavior changes, including when a time window runs out.
Edit, pause or archive any cohort. Each one shows when it was last evaluated.
Suggested, when your data supports them
Browsing, not buying
Viewed one category three or more times without a purchase.
Why it may matter: interest you can see before a first order.
From one campaign to repeat
Came from one campaign, bought one product, then came back for more.
Why it may matter: shows which campaigns find repeat buyers.
05Klaviyo
Kept current in Klaviyo.
Switch on sync for any saved cohort. Signal adds people as they qualify and removes them when they stop, then shows you the last successful sync, any errors and anyone it couldn't match.
A cohort never grants marketing consent or lifts a suppression. Klaviyo's rules still decide who hears from you.
Lapsing high spendersKlaviyo
Last successful sync 4 min ago · 0 errors
Members
642
Joined, 7 days
+38
Left, 7 days
−20
Not matched
9
- Dana K. joinedLast order passed 90 days
- Leo M. leftPlaced an order
- Priya S. leftStarted a return
- Omar H. joinedLifetime spend reached $800
9 not matched: no email on file.
View list
06Ask
Ask your store a question. Get the working too.
Ask in plain English, in Signal or from your own AI tools through a permission-controlled MCP connection. Both use the same definitions and the same store-level access. Every answer names its population, timeframe, sample size, comparison group, sources and limits, and opens onto the records behind it.
Correlation is labeled as correlation.
Upside is shown as a scenario, never a forecast.
Stale or incomplete data is flagged, not hidden.
07Your data
Every number shows where it came from.
Signal keeps the habits of a finance tool: sources kept, states labeled, nothing filled in quietly. It shows what it can see, and coverage depends on what each shopper permits. It never claims to identify every visitor.
01
Source and timestamp on every field
Each value keeps where it came from, when it arrived and how it is defined.
02
Known, inferred, missing, conflicting
Four states, always labeled. A missing value is never shown as a zero.
03
Enrichment, marked as enrichment
Third-party attributes carry their provider and refresh date, and modeled estimates say so. Signal never fills a gap with a guess.
04
Consent comes first
Capture and replay follow each shopper's consent settings. Sensitive fields are masked, with retention and deletion built in.
05
No card data
Payment method descriptors only. Never full card numbers, security codes or credentials.
06
Your store, and only yours
Store-level isolation and access controls, in the app and over MCP.
Find the pattern. Build the audience. Keep it current.
Signal is opening to a small group of Shopify stores that run Klaviyo. Tell us where to reach you.