Table of Contents
Brij Signal vs. Klaviyo Audience Sync: Sending Signal, Not Just Lists
- Klaviyo audience sync: pushes lists and segments (subscribers, purchasers, VIPs) to ad platforms as custom audiences. Best for retargeting, suppression, and lookalike seeds built from your CRM.
- Brij Signal: captures and verifies purchases across retail, marketplaces, and DTC, then sends them to ad platforms as conversion events with hashed customer identifiers, alongside buyer audiences.
- The core distinction: an audience is a list of people. A conversion event is an outcome the platform can optimize toward.
- How they fit together: Klaviyo activates the customers already in your CRM. Brij Signal gives Meta, Google, and TikTok Ads a more complete picture of who is actually buying, and adds those retail buyers to your CRM too.
Klaviyo audience sync sends Meta, Google, and TikTok Ads a list of customers a brand already knows, so the platforms can target, exclude, or model lookalikes from that list. Brij Signal sends audience information along with verified purchase events, including sales made at retailers and marketplaces, so the platforms' algorithms can learn from real buying outcomes when they bid, target, and allocate spend.
Both approaches move first-party data into ad platforms. The difference is what that data represents and what the platform is able to do with it. For an omnichannel consumer brand that sells through Target, Walmart, Costco, or Amazon alongside its own site, that difference decides whether ad algorithms see a slice of your buyers or most of them.
What Klaviyo Audience Sync Does In Your Ad Platforms
Klaviyo audience sync connects Klaviyo lists and segments to ad platforms as custom audiences. According to Klaviyo's Meta Ads documentation, the integration's main advertising use is syncing lists and segments to Meta so brands can advertise to those people and build Lookalike Audiences from them.
Klaviyo offers similar audience sync connections for Google, TikTok, and other ad platforms.
In practice, brands use it to answer one question for the ad platform: who do we already know?
- Retargeting: show ads to recent browsers, cart abandoners, or lapsed buyers.
- Suppression: exclude current customers from acquisition campaigns so budget goes to new people.
- Lookalike seeds: give the platform a list of high-value customers and ask it to find more people like them.
Syncing audiences to ad platforms is best-practice, but the caveat is that it comes with a few key limitations that directly impact what audiences can do for your ad account:
Audiences Reflect What Your CRM Holds
Klaviyo segments are built from profiles Klaviyo knows about: email and SMS subscribers, site visitors it can identify, and orders from connected ecommerce platforms. A shopper who buys your product at Kroger and never visits your site is usually not in Klaviyo at all.
Audiences Sync Membership Data, Not Outcome Data.
A synced audience tells Meta that a person belongs to a segment. It does not, on its own, tell Meta that a specific ad led to a specific purchase at a specific time.
Match Rates Heavily Depend on Identifiers Sent
Klaviyo's Meta data reference notes that its Meta sync pushes email addresses, that only emails tied to a Facebook login will match, and that custom audiences can take 24 to 48 hours to update on Meta's side.
Audiences vs. Signal: What Ad Platforms Actually Learn From
Ad platforms use two kinds of first-party data in very different ways.
- Audiences shape who is eligible to see an ad.
- Conversion events shape how the algorithm decides, auction by auction, which eligible person is worth reaching and how much to bid.
Audiences are Inputs to Targeting
When you upload a custom audience, you are drawing a boundary: show ads to these people, keep ads away from those people, or find people who resemble this group.
The platform treats the list as a starting point.
Conversion Events Are Inputs to Optimization
When a platform receives a purchase event tied to a person it can match, it learns what a successful outcome looks like.
Campaigns optimized for purchases use that feedback to predict which users are most likely to buy, which placements work, and where spend returns the most. Every verified purchase is a training example.
This is why a brand can have a strong CRM audience strategy and still feel that Meta Advantage+ or Google Performance Max is optimizing blind. If most sales happen in retail stores and on marketplaces, the conversion events those algorithms receive describe only the DTC minority of buyers. The model learns from the customers it can see, and it keeps finding more of them.
Brij Signal Sends Verified Purchases, Not Just Audience Lists
Brij Signal gives ad platforms both halves of the picture: hashed buyer identities they can use as audiences, and conversion events describing what those buyers actually purchased across retail, marketplaces, and DTC.
The path from shelf to signal works in four steps:
- Capture. A shopper buys your product at a retailer or marketplace, then submits their information for some sort of incentive (warranty, rebate, sweepstakes entry, exclusive content, etc).
- Verify. Brij confirms the purchase, including what was bought, where, and when.
- Structure. The verified purchase is formatted as a conversion event with hashed customer identifiers, the identity fields platforms need for strong match quality.
- SIgnal. Events flow to Meta, Google, and TikTok Ads through their conversion APIs, and the same buyer profiles flow into your CRM and email/SMS platforms.
Because the platforms receive outcomes rather than only lists, Brij Signal delivers value in three ways:
- Improved performance: As verified retail and marketplace purchases accumulate, the platforms train on total sales instead of the DTC slice. Targeting and bidding sharpen around the people who actually buy your products wherever they shop. This directly results in ROAS lift and CAC decrease.
- Attribution: Purchases that happened offline are now counted. More sales are matched back to the ads that influenced them, so reported ROAS rises. This reflects recovered measurement, not a change in the ads themselves.
- Audience uplift: Every verified buyer is a net-new, confirmed customer. You can retarget them for replenishment and cross-sell, seed lookalikes from real purchasers rather than subscribers, and suppress existing customers from acquisition campaigns.
Why Audiences vs Signal Matter for Omnichannel Brands
For a DTC-only brand, a CRM audience and a purchase history are close to the same thing. For an omnichannel brand, they are not.
Most omnichannel brands sell the majority of their volume through retailers and marketplaces, and those buyers rarely appear in the brand's CRM or pixel data.
The data gap causes both incomplete audiences and results in hindered automatic optimization:
- Audiences: Lookalikes seeded from CRM segments are modeled on subscribers and site buyers, who may shop differently from the people buying you at Costco or on Amazon.
In your optimization.
- Ongoing Optimization: Purchase-optimized campaigns learn only from DTC conversions, so the algorithm keeps favoring the kind of shopper who buys on your site.
How Klaviyo & Brij Signal Work Together
Choosing between Klaviyo Audiences and Brij Signal is not a "one or the other" scenario. Both tools do different jobs and reinforce each other. In fact, most brands on Brij use both!
Here's the quick breakdown:
- Klaviyo activates the customers you already know. It remains the right place to build segments, run email and SMS flows, and sync CRM audiences for retargeting and suppression.
- Brij expands who you know, then Signal tells ad platforms the who & what of your purchases: It captures retail and marketplace buyers, sends their verified purchases to Meta, Google, and TikTok Ads as conversion events, and passes those same buyers into Klaviyo.
- Using both delivers compounding gains: Retail buyers captured by Brij become Klaviyo profiles, which means richer segments to sync. At Quip, Brij accounted for 50% of new Klaviyo subscribers in 2025, and flows built on those buyers converted at 6.4x the Klaviyo average.
The short version:
Klaviyo helps you activate the customers in your CRM.
Brij Signal helps Meta, Google, and TikTok Ads optimize against a more complete picture of who actually buys your products, including the shoppers who buy at retailers and marketplaces instead of your website.
Ready to learn more?
Book a 15 minute all with our team to see how Brij Signal works with your ad accounts and Klaviyo.
Frequently Asked Questions
What is the difference between a custom audience and a conversion event?
A custom audience is a list of people an advertiser uploads so an ad platform can target, exclude, or model lookalikes from them. A conversion event is a record of a specific outcome, such as a purchase, tied to a person the platform can match. Audiences guide who can see ads. Conversion events teach the algorithm which people and placements produce results.
Does Klaviyo send conversion data to Meta?
Klaviyo's native Meta Ads integration syncs lists and segments as custom audiences and supports lead ad syncing only.
Can Meta optimize ads using in-store purchases?
Yes. Using Brij Signal, brands can choose to optimize for DTC purchases, retaIl purchases, or "omnichannel purchases" (i.e. both).
Do brands need both Klaviyo and Brij Signal?
Omnichannel brands typically benefit from both. Klaviyo handles CRM segmentation, lifecycle messaging, and audience syncing. Brij Signal captures retail and marketplace buyers, sends their verified purchases to Meta, Google, and TikTok Ads as conversion events, and adds those buyers to Klaviyo.
How does Brij Signal improve match quality?
Brij Signal structures each verified purchase as a conversion event and includes the hashed customer identifiers ad platforms use to match events to users. Brij's Signal team has extensive experience with server-side tracking and conversion event setup, resulting in the delivery of your conversion events with more complete identifiers to produce higher Event Match Quality (EMQ).
