Influencer matching, powered by your CRM

Stop guessing which creators actually reach your customers.

Most influencer tools score creators on follower count and category keywords. TodaySponsor scores them against the customers who already paid you, the same lookalike modeling Fortune 500 brands run through Epsilon and LiveRamp, made self-serve for Shopify.

Matching engine
1,555-dim audience embeddings
Data source
Your Shopify CRM, read-only
Time to scores
Under 60 seconds
53%
of influencer campaigns miss their performance KPIs.
Cirqle, 2025
$4.6B
wasted each year on creator fraud and audience mismatch.
SociaVault, 2025
<60s
from store connect to a full ranked creator list, scored 0 to 100.
TodaySponsor benchmark
01Sample output

Real scores against a real customer distribution.

Below, a snapshot from a snowboard brand's Shopify customer set, 8,420 buyers weighted to Colorado, Utah and Vermont. Scores are decomposed cosine similarity on a 1,555-dim audience vector.

Brandpeakboards.myshopify.com
23 creators scored, ranked
s
@snowboardprocampYouTube · 412K followers
92.4
Excellent
l
@louievitoInstagram · 318K followers
84.1
Excellent
b
@boardarchiveYouTube · 188K followers
71.6
Excellent
j
@jonolsson1Instagram · 1.2M followers
58.3
Good
d
@dirtbagclimbersInstagram · 244K followers
46.9
Moderate
n
@nikkietutorialsInstagram · 18.4M followers
0.0
Filtered
02The gap

Catalog matching answers the wrong question. We answer the right one.

Every other influencer platform scores creators on what they post about. We score them on whose audience predicts your conversion.

Everyone else

Surface-level matching, on data they don't have.

  • Follower count thresholdsvanity metric, not predictive
  • Engagement rate benchmarksgameable, ignores who is engaging
  • Category keyword matchingsnowboard creator equals snowboard brand
  • Product catalog NLPbrand intent, not customer reality
TodaySponsor

Distributional matching, on the data only you have.

  • CRM-based audience profilingyour real buyers, not a brief
  • Distributional lookalike matchingcosine similarity on full audience vector
  • Geographic and AOV overlapstate mix, basket size, frequency
  • Purchase-semantic embedding1,536-dim product, audience, content space
03How it works

Three steps, under a minute.

No sales call, no onboarding deck. Connect Shopify, see your customer fingerprint, get ranked creators.

Step 01

Connect your store

One read-only Shopify install. We pull customers, orders and products. No PII retained, only the aggregated audience profile.

Step 02

We build your audience profile

We analyze your real customers, including demographics, geography, and purchase behavior, into a precise fingerprint.

Step 03

See who actually matches

Paste influencer handles or let us recommend 50+ creators whose audiences overlap with your customers. Scored 0 to 100%.

The agency-grade matching layer, finally self-serve.

If you sell on Shopify, you already have everything we need. Connect once and see what your customer data actually says about who reaches them.

S
Built by Sanket Shah, Data Scientist at WPP Media, building propensity models on 4.5B consumer records.New York · YC S2026