Why 9+ Signal Identifiers Per Profile Changes Your Ad Performance on Every Platform

If you’re running paid ads on Meta, Google, TikTok, or LinkedIn, there’s a single technical factor silently determining whether your campaigns succeed or waste budget: how many verified identifiers your identity resolution platform sends per visitor profile.

Most identity resolution platforms — Opensend, Retention.com, Customers.ai, Pearl Diver — send one hashed email address per visitor record to ad platforms. One email. One lookup attempt. One chance to match.

Big Easy Data sends up to 9+ verified signal identifiers per profile — three email addresses (personal, work, and secondary) each encoded in SHA-256, MD5, and SHA-1, plus multiple confirmed phone numbers. Here’s exactly why that changes your ad performance on every platform.

Meta: Why Your Event Match Quality Score Is Stuck at 4–6

Meta calculates Event Match Quality (EMQ) as a cumulative confidence score from 1–10 based on how many customer information parameters you send with each Conversions API event — and how many of them successfully match a real Meta user account.

The matching process is straightforward: Meta receives your hashed identifiers with an event, cross-references each independently against its user database, and every successful match adds confidence weight to the overall score.

Here’s what Meta actually weights, in order of impact:

Hashed Email (em) — Highest weight. SHA-256 only, lowercase before hashing.
Click ID (_fbc) — High. Captured from fbclid URL parameter.
Hashed Phone (ph) — High. SHA-256 with country code.
Browser ID (_fbp) — Medium. Auto-created by Meta Pixel.
External ID — Medium. Your internal user ID, SHA-256 hashed.
IP Address, Name, Location — Lower. Supplementary signals.

When Big Easy Data sends 3 email addresses per profile to Meta CAPI, Meta attempts to match all three independently. If the personal Gmail matches where the work email didn’t, the match fires at full confidence. This single mechanism explains why single-email platforms hit 20% match rates while multi-email approaches achieve 50%+.

Documented outcomes when EMQ improves from the 4–6 range to 8–9+:

Cost per acquisition drops 18% (e.g., $42 → $35)
Customer match rate increases 24%
ROAS improves 22% on average
Ad spend efficiency gains approximately $2,100/month per $1,000 daily budget

Important technical note: Meta’s CAPI only accepts SHA-256. Our MD5 and SHA-1 hashes serve other platforms — the value of having all three formats is platform-agnostic activation across your entire ad ecosystem.

Google: The 8% Match Rate Problem (and How to Fix It)

Google Enhanced Conversions takes your hashed first-party data, matches it against signed-in Google accounts, and uses confirmed matches to attribute conversions — even across devices and after cookies are deleted. The system accepts SHA-256 hashed email, phone, name, and physical address.

Here’s the reality most advertisers discover the hard way: a real advertiser on Reddit’s r/PPC uploaded 10,000 Gmail addresses to Google Customer Match and got only an 8% match rate. The top community answer? “Include phone numbers and additional identifiers for each user — relying solely on email leads to lower match rates.”

With Big Easy Data’s multi-email + multi-phone output, that same list goes from 8% to 30–60% match rates.

Google accepts both SHA-256 and MD5 for Customer Match uploads — making our MD5 hashes directly valuable here. This is a platform where our triple-hash output directly translates to match rate uplift without any conversion step.

TikTok: Phone Is the Primary Match Key (Not Email)

TikTok’s Events API scores match quality using hashed email, hashed phone, click ID, IP address, user agent, and external ID. All hashing must be SHA-256.

TikTok explicitly recommends sending both email and phone together for best match quality — their documentation flags events as lower quality when only one identifier is present.

Here’s what most advertisers miss: TikTok’s user base overwhelmingly logs in with a phone number rather than an email address. Phone is the primary match key on TikTok — the exact opposite of Meta. Big Easy Data’s multiple phone numbers per profile is uniquely powerful here. No Tier 1 competitor has documented multiple phone number output.

LinkedIn: Why One Email Isn’t Enough for B2B

LinkedIn matches uploaded email lists against professional profiles. Their documented match rate for business emails is 60–80%, but for personal emails it drops significantly.

The critical insight from identity research: “Work email addresses are less effective on LinkedIn and Meta but highly effective on Google and wider programmatic. Telephone number is an extremely powerful match key and we highly recommend it be prioritized.”

With 3 emails per profile, Big Easy Data maximizes the chance that at least one matches the email the person used to register their LinkedIn account — whether that’s their work email, personal email, or a secondary address. LinkedIn requires a minimum of 300 matched members with 1,000+ recommended for stable delivery.

The Trade Desk / UID2: More Identifiers = More CTV Reach

UID2 is generated by hashing and salting an email or phone number. Multiple emails and phones per profile equals multiple UID2 generation paths — translating to higher audience reach across The Trade Desk’s 1,000+ publisher partners, CTV streaming platforms like Hulu, Peacock, and Disney+, and retail media networks.

The official Trade Desk guidance: map both email AND phone to maximize match rates. Big Easy Data does this by default, for every profile.

Amazon DSP: Reaching 300M+ Active Shoppers

Amazon DSP accepts hashed records via the Amazon Ads API — including name, email, and phone — to match Amazon shoppers with advertiser customer records. Multiple emails per record directly increases the probability of finding the match across Amazon’s 300M+ active shopper accounts.

Amazon’s ecosystem is particularly powerful for home improvement, financial products, and consumer goods — all core Big Easy Data verticals.

What Each Platform Accepts — The Full Matrix

Not every platform accepts every hash format. That’s precisely why having all three matters — you can activate on every platform without re-processing:

Meta CAPI: SHA-256 only for email and phone. 3 emails × SHA-256 + phones = maximum EMQ.
Google Customer Match: SHA-256 and MD5 accepted. Phone adds 20–40% uplift.
Google Enhanced Conversions: SHA-256 required. Multiple emails = multiple lookup paths per event.
TikTok Events API: SHA-256 required. Phone is PRIMARY match key — multiple phones = major uplift.
LinkedIn Matched Audiences: SHA-256 email + phone. 3 emails covers personal + work + secondary.
Trade Desk / UID2: Each email and phone generates a separate UID2 — more CTV reach.
Amazon DSP: SHA-256 and MD5 accepted. Multi-email + phone maximizes shopper match.
Direct Mail Onboarding: All three hash formats used by postal onboarding services.
Programmatic DSPs: All formats accepted — maximum addressability.

The Bottom Line: More Identifiers = More Revenue from Every Ad Dollar

Every day you run ads with a single-email identity provider, you’re leaving match rate — and revenue — on the table. The math is simple:

A single $1,000/day budget at EMQ 9 vs. EMQ 5 generates approximately $2,100/month more in ad efficiency
Server-side CAPI data is worth 3× more to Meta’s algorithm vs. pixel-only data
Multi-email match rates of 50%+ vs. single-email rates of ~20%

Big Easy Data’s multi-signal architecture — 3 emails × 3 hash formats + multiple phones — isn’t a feature. It’s the reason our clients outperform on every platform they activate on.

See our full platform-by-platform technical breakdown →