Salesforce → LiveRamp · Conversion tracking
Connecting Salesforce to LiveRamp
Salesforce holds the opportunity, the amount and the close — the only place the actual revenue outcome is recorded. LiveRamp resolves identity between parties who are not allowed to share raw customer data, which makes it infrastructure for measurement rather than a place conversions are counted. The join between them succeeds or fails on one thing: whether the RampID, derived from hashed personal information reaches the Salesforce Lead or Opportunity before the conversion happens, because LiveRamp can only match a conversion it can tie back to a click it recognizes.
✓ 30-minute call · No commitment · You leave with a written remediation plan even if we’re not the right fit.
Written guarantee
95%+ conversion accuracy on Salesforce → LiveRamp
Measured against your own order records at handover. Miss it and we keep working at no cost until it’s met.
Built on — and certified for — the platforms that matter
Stape
Pro Partner
Meta
Tech Provider
Tag Manager
TikTok
Events API
Microsoft
UET Partner
CAPI Partner
CAPI Partner
Built on the same partner stack used by enterprise DTC brands.
By the numbers
No fake testimonials.Just the math.
70+
Platforms supported
Shopify · Woo · Magento · BigCommerce · 65 more
8+ / 10
Meta EMQ guaranteed
in writing — keep working free until hit
2–4d
Build to live
accurate data flowing within 7 days
$0
Monthly fees, ever
one-time fixed price · you own the stack
400d
Cookie lifetime
max RFC 6265bis allows · 57× Safari ITP
9
Ad channels covered
Meta · Google · TikTok · MS · LI · Pin · Snap · Reddit · X
95%+
Tracking accuracy
verified vs Stripe · GA4 · ad-platform reports
30 min
Free founder call
no SDR · no pitch deck · written remediation plan
Every figure above is either a commitment we put in writing or a countable fact. What your own setup is losing is not on this list, because we haven’t measured it yet — that happens on the call, against your own order records.
Real clients · real videos · real outcomes
Don’t take our word for it. Watch the receipts.
Founders, marketers, and agency owners describing the before-and-after of their Salesforce → LiveRamp tracking rebuild — in their own words, on camera.
Why this join usually fails
The RampID, derived from hashed personal information never reaches Salesforce
The single most common cause. Lead conversion is where identifiers die. A custom field on Lead that has no mapped counterpart on Contact or Opportunity is silently discarded when the Lead converts, and nobody notices until months of data are unattributable.
The identifier is lost at lead conversion
This one failure explains most broken Salesforce attribution. The data is captured correctly, then thrown away by a mapping nobody configured.
Match rate treated as a platform failure
A low match rate is almost always your data, not theirs: inconsistent formatting, stale addresses, or a customer base that simply is not resolvable. Teams spend weeks escalating to the vendor when the fix is normalising a column.
Nothing reconciles afterwards
An upload that succeeds is not an upload that matched. LiveRamp reports match rates on every upload. Read it, and compare it against how many of your customers you would expect to be resolvable at all.
Architecture
How Salesforce and LiveRamp actually connect
Two systems that know nothing about each other. Everything below exists to give them one shared reference.
Step 1
Salesforce holds the truth
The opportunity carries the amount, stage and close date. Because Leads convert into Contacts, Accounts and Opportunities, the identifier must be mapped through the conversion or it is dropped exactly at the moment the record becomes valuable.
Step 2
LiveRamp needs a click to match
Hashed, correctly normalised customer identifiers. Normalisation is the whole job: lowercase, trimmed, consistently formatted before hashing, or the match rate collapses for reasons that look like a platform problem.
Step 3
The identifier is the bridge
The RampID, derived from hashed personal information, captured at the visit and carried into the Salesforce Lead or Opportunity. Without it there is nothing to join on and no tool fixes that.
Step 4
The event source decides reliability
Fire on the transition into Closed Won, carrying the amount and the identifier. Note that Salesforce's own advertising integrations vary in what they support — build on the record, not on a connector that might change.
Step 5
Deduplication at the destination
Deduplication happens at the identity layer. The same person with two email addresses can resolve to two RampIDs, which inflates audience counts and depresses match rates simultaneously.
Diagnose it honestly
Working vs. broken, side by side
Both states look identical from the LiveRamp dashboard, which is why this runs for months before anyone notices.
Normal — not a fault
The RampID, derived from hashed personal information present on the opportunity
Visible on the record itself in Salesforce, not merely captured somewhere on the site.
Sent from a Salesforce flow, Apex trigger or scheduled export on StageName change
Server-side, so it does not depend on the customer's browser still being there.
Deduplicated correctly
Deduplication happens at the identity layer. The same person with two email addresses can resolve to two RampIDs, which inflates audience counts and depresses match rates simultaneously.
Reconciles with the source
LiveRamp's count and Salesforce's records agree within a few percent over a closed window.
Actually broken
The RampID, derived from hashed personal information missing on most records
Lead conversion is where identifiers die. A custom field on Lead that has no mapped counterpart on Contact or Opportunity is silently discarded when the Lead converts, and nobody notices until months of data are unattributable.
Sent from the browser
Anyone who closes the tab, blocks the script or converts without a page load is invisible. This one failure explains most broken Salesforce attribution. The data is captured correctly, then thrown away by a mapping nobody configured.
Counted twice, or not at all
A low match rate is almost always your data, not theirs: inconsistent formatting, stale addresses, or a customer base that simply is not resolvable. Teams spend weeks escalating to the vendor when the fix is normalising a column.
Nobody has reconciled it
The dashboard shows a number and no one has compared it to Salesforce. A wrong number that nobody checks is indistinguishable from a right one.
Diagnostic sequence
Diagnostic order
Each step rules out a class of cause. Run them in order and the last one usually has a single explanation standing.
- 1
Count opportunitys carrying the RampID, derived from hashed personal information
The ceiling on everything else. Do this before debugging anything downstream.
- 2
Follow one real conversion end to end
From the ad click through Salesforce and into LiveRamp.
- 3
Convert a test Lead and inspect the resulting Opportunity
If the identifier is not on the Opportunity, the field mapping is missing. This takes five minutes and rules out the most likely cause outright.
- 4
Audit identifier formatting before hashing
Case, whitespace and formatting differences are the usual cause. Fix them once and the match rate moves more than any configuration change will.
- 5
Read the match rate, not the success message
LiveRamp reports match rates on every upload. Read it, and compare it against how many of your customers you would expect to be resolvable at all.
Source-of-truth validation
How it gets proven
Against Salesforce's own records, not against either platform's dashboard.
- The RampID, derived from hashed personal information confirmed present on a live opportunity.
- A real conversion followed from click through Salesforce to LiveRamp.
- Match rate measured against the share of customers holding usable identifiers, with normalisation verified before hashing.
- A test lead converted end to end with the identifier confirmed present on the resulting opportunity.
- Reconciled over a fully closed window, matched per record rather than on totals.
- Re-checked 30 days later.
Straight talk
When you don't need this
Worth reading before paying anyone, including us.
- If LiveRamp already reports conversions that reconcile against Salesforce's records within a few percent, this join is working and there is nothing to buy.
- Measure identifier coverage yourself first — pull your last hundred opportunitys and count how many carry the RampID, derived from hashed personal information. Ten minutes, free, and it tells you whether any of this is worth doing.
- If your Salesforce instance is heavily customized and administered by another team, scope their availability before commissioning this — the build is usually blocked on admin access rather than on the tracking work.
- If you hold few customer identifiers, identity resolution has almost nothing to resolve. Collect the data first; this cannot manufacture it.
Who this is for
Honest about who we’re a fit for.
We don’t take every project. Here’s how to tell if we’re right for you.
You’re a great fit if…
- You run Salesforce → LiveRamp (or are migrating to it)
- You spend $5K+/month on paid ads (Meta, Google, TikTok, Microsoft, LinkedIn)
- Your reported ROAS doesn’t match what your bank account is saying
- You want to own your tracking stack — no monthly SaaS fees forever
- You have 2–4 days to do this once and never think about it again
Skip us if…
- You spend less than $500/month on paid ads (browser pixel is fine)
- You want a SaaS dashboard with monthly fees forever (Triple Whale, Hyros)
- You need attribution modeling — we fix the data foundation, not multi-touch reports
- You want a 6-month enterprise consulting engagement (we ship in 4 days)
- You expect us to manage your ad accounts (we don’t — that’s a different service)
If you’re still unsure,book the call anyway— we’ll tell you straight whether we can help.
What working looks like
The RampID, derived from hashed personal information on every opportunity
Server-sideCaptured before the conversion and stored where it survives.
Conversions arriving in LiveRamp
8+ EMQRecords resolve to RampIDs and become matchable against a partner's data inside a clean room or an activation platform.
Reconciled against the source
DedupedSalesforce's own records are the reference, not either dashboard.
What gets built
Identifier capture into Salesforce
Custom field on Lead, matching custom field on Contact and Opportunity, and the field mapping configured so conversion carries it across. Verify by converting a test lead and reading the resulting opportunity.
Event source: a Salesforce flow, Apex trigger or scheduled export on StageName change
Fire on the transition into Closed Won, carrying the amount and the identifier. Note that Salesforce's own advertising integrations vary in what they support — build on the record, not on a connector that might change.
Dispatch to LiveRamp
Hashed identifiers and conversion records uploaded server-side, never raw personal data.
Reversals where they exist
An opportunity moved back out of Closed Won can be retracted, and enterprise pipelines do this often enough to be worth wiring.
Pick the package that fits your ad spend
Fixed-fee, no surprises. If your ad spend is meaningful,server-side tracking is what we recommend— it’s the only setup that survives iOS, Safari ITP and ad blockers.
Browser-side starter
Wires the join and verifies it on a live conversion. Honest about its ceiling where the source can only be read from the browser.
- The join built and tested end to end
- Verified on a real conversion
- Reconciled against the source's own records
- Written handover
1st-party server-side
Save $18K–$120K over 5 years vs Triple Whale / Hyros
The join built server-side from the source's own records, so it does not depend on a browser being present when the conversion happens.
- Events sourced from the system of record, not the browser
- Identifier captured and persisted end to end
- Deduplicated at the destination
- Reversals wired where the source supports them
- 95%+ accuracy guaranteed in writing
Full 1st-party stack
Every destination fed from one place, plus monitoring so a broken join surfaces in days rather than at quarter end.
- Everything in 1st-party server-side
- All paid destinations from one container
- CRM and offline loop
- Refunds and cancellations reversed everywhere
- Monitoring per destination
Not sure which tier fits?Book a 30-min scoping call— we’ll tell you straight, no upsell pressure.
How it works
Built in 2–4 days. Accurate data within 7.
We deliver the entire 1st-party server-side stack in 2–4 business days. You start collecting accurate, deduped conversion data the moment it goes live — and within 7 days every signal is flowing cleanly to Meta, Google, TikTok and the rest.
Kickoff + audit
30-min call. We map your current pixels, GTM, dataLayer, consent setup, and ad-platform integrations. You get a written report of every leak.
Build the stack
Server-side GTM container deployed on your subdomain. Meta CAPI · Google EC · TikTok Events API · Microsoft UET wired. Identity match + dedup configured.
QA + go-live
Live-fire test purchases across every funnel step. Meta EMQ verified at 8+. Tag Assistant + Pixel Helper passes. Side-by-side report delivered.
Verify accuracy
Your data flows clean. Within 7 days every signal — Meta, Google, TikTok, Microsoft — is fully accurate. Notion runbook + Loom walkthrough handoff.
Got questions?
The honestanswers.
No buzzwords, no upsell. If we don’t know, we say so.
01Why aren't my Salesforce conversions showing in LiveRamp?
Almost always because the RampID, derived from hashed personal information never reached the Salesforce Lead or Opportunity. Lead conversion is where identifiers die. A custom field on Lead that has no mapped counterpart on Contact or Opportunity is silently discarded when the Lead converts, and nobody notices until months of data are unattributable. Measure coverage before debugging the dispatch.
02What identifier does LiveRamp need?
Identity is resolved from hashed email and postal identifiers into a pseudonymous RampID that both parties can match on without either seeing the other's raw data. There is no click identifier involved at any point, and your addressable share is limited to customers whose details you actually hold.
03Where should the event come from?
A Salesforce flow, Apex trigger or scheduled export on StageName change. Fire on the transition into Closed Won, carrying the amount and the identifier. Note that Salesforce's own advertising integrations vary in what they support — build on the record, not on a connector that might change.
04How do I know it worked?
LiveRamp reports match rates on every upload. Read it, and compare it against how many of your customers you would expect to be resolvable at all.
Still have questions?Book a 30-min call— bring them all.
The call
What happens on your free 30-min call
No pitch deck, no SDR, no upsell pressure. Founder-led. Bring your ad-platform screens and yourSalesforce → LiveRamp setup — we’ll work through it together.
Min 1–5
We get the lay of your store
What you sell, what you spend on ads, who handles dev. Quick context-gathering — no questionnaire upfront.
Min 5–15
We audit your tracking live
Screen-share. We open your Meta Events Manager, GTM, and ad reports. You see exactly which conversions are leaking.
Min 15–25
We map a fix
What needs rebuilding, what stays. The exact Salesforce → LiveRamp setup we'd ship and what it would recover for you.
Min 25–30
Decide. Or don’t.
If we're a fit, we send a 1-page proposal in writing. If not, you walk away with a free remediation plan you can hand to anyone.
Get Salesforce and LiveRamp joined properly
Book a free 30-minute call. We measure your identifier coverage live on your own account, and you leave with a written plan — including the option that you don't need us.
Free · 30-min consultation · No commitment · Replies in under 2 hours · Available worldwide via WhatsApp
95% tracking accuracy guarantee
Free 30-min consultation · from $400 · 1st-party server-side
95% guarantee · from $400
