Einstein sees what is in Salesforce. What about the rest?
Einstein works from what your reps typed into Salesforce. SalesSynq sits beside your stack and reads what actually happened — today through HubSpot or an import.
Einstein scores opportunities inside Salesforce, from what Salesforce already holds. SalesSynq runs beside your stack, reads only, and scores each deal against the evidence behind it — including evidence your CRM never captured. Salesforce data reaches SalesSynq as an upload today; there is no live Salesforce connector.
Why does your CRM say the deal is fine?
Because somebody updated the stage on Friday, and updating stages is what Friday is for. The close date has moved twice and nobody wrote down why. The support queue on that account has doubled and the CRM has no idea. You should not have to find out in the QBR.
The forecast holds all quarter, then moves in the last two weeks. You get asked why in the board meeting and the honest answer is that you did not know. A score built only from that record cannot warn you, because the record is the thing that is wrong.
Pipeline reviews stop being a guessing game. You walk into the board meeting already knowing which deals move the number. And you find out which fields nobody has been filling in — before you build another dashboard on top of them.
Where does each product get its evidence?
One works from inside the CRM record; the other works from everything around it. That single choice explains almost every difference on this page, including the awkward one about connectors two sections down.
What in-CRM scoring is built to do
Score opportunities and leads from the data already inside the CRM, in the record where the seller works, using the platform vendor's own models. Its published design assumes the CRM is both the system of record and the surface of work.
What SalesSynq is built to do
Tell you which deals are slipping, including the ones your CRM has no idea about — the meeting nobody booked, the support queue filling up, the delivery date that moved. Every score arrives with the evidence it used saved next to it.
Why the position matters to you
A score inside the CRM can only ever be as good as the CRM. It inherits your field conventions, your adoption problem and your blind spots. A layer beside it can say "this record does not support an answer" — which is a sentence the in-CRM view is not really built to produce.
The honest trade
Einstein is already where your reps are and needs no data movement. SalesSynq is a second system, and today your Salesforce data reaches it as an upload rather than a live connection. That is a real cost, and it belongs in your decision rather than in a footnote.
Everything described here about Salesforce Einstein comes from its own published material and describes how the product is built. This page makes no performance comparison, and SalesSynq publishes no promoted customer accuracy result for itself.
How do I try this without connecting Salesforce?
Three steps, and the first one is a file. That is the point: you can find out whether this is worth your time before anyone asks your Salesforce admin for a credential.
- 1
Connect your CRM
Or do not. Export your open pipeline from Salesforce and upload the file — no credential, no install, no Salesforce admin in the room. HubSpot, Zoho and Freshsales connect read-only if you prefer.
- 2
See what is actually at risk
You get the pipeline scored against the evidence behind each deal, plus a plain report on what your export could and could not support — which is usually the more interesting document.
- 3
Act while it still matters
Work the deals the evidence says are moving away from you, and fix the fields the report says nobody has been filling in. Nothing was written into Salesforce to get there.
When the evidence is too thin, SalesSynq tells you it does not know instead of guessing — and shows you what it could not see.
Does SalesSynq connect to Salesforce?
No. There is no live Salesforce connector. Salesforce data reaches SalesSynq as an upload: you export your pipeline, drop the file in, and get a scored pipeline plus a report on what the file can and cannot support, usually in about ten minutes. For most evaluations that is the faster path anyway, because it needs nobody’s permission.
Connects directly, read-only
CRM
- HubSpot
- Zoho CRM
- Freshsales
Conversations
- Slack
- Microsoft Teams
- Gmail / Outlook mail
- Google / Outlook calendar
- Zoom
- Gong
Delivery
- Jira
- Linear
- GitHub
Support & success
- Zendesk
- Freshdesk
Or upload an export
- Salesforce — No connector exists. Export from Salesforce and import the bundle.
- Spreadsheets — CSV or XLSX from any system, including timesheets.
Coming next. Pipedrive, ChurnZero, Trello, Sentry.
HubSpot is the connection with the longest run against real customer data. Treat any vendor’s connector list — this one included — as something to check against a live screen rather than a wall of logos.
Can I trust the score more than the record it came from?
That is the right question, and the answer is that you do not have to take either on faith. Open any score and the exact evidence behind it is saved next to the answer, so it can be worked out again in front of a sceptical rep. Where the record is too thin to support an answer, you get told that instead of a number.
| Dimension | SalesSynq | Salesforce Einstein (in-CRM scoring) |
|---|---|---|
| Where it runs | Beside your stack, reading only. No field updates, no stage changes, no owner reassignment. Routing a task into a work tool is a separate permission you grant per tool, and it is refused until you do. | Inside the CRM, as a native capability of the platform, writing its scores and fields into the record itself. |
| What it can see | Your CRM plus the evidence around it — meetings, mail activity, support pressure, delivery risk — saved next to the score it produced. | The live CRM record and the history the platform already holds about it. |
| How you check a score you disagree with | You open it. The exact evidence it used is right there, and the answer can be worked out again in front of whoever is challenging it. | By surfacing the factors that most influenced the model output for that record. |
| What happens when the record is thin | It says so. A part of the score with too little behind it returns no answer rather than a polite middle value. The publication threshold defaults to three trusted signals; a workspace can explicitly retain the legacy one-signal policy or disable that breadth gate. | In-CRM scoring is designed to cover the pipeline in the CRM, so sparse records are generally still scored from what is present. |
| What it does about your CRM hygiene | Names it. Missing and untrusted fields are counted and reported as part of the output instead of quietly absorbed into it. | Inherits it. The scoring layer works from what the CRM holds, so field discipline and adoption largely decide what is possible. |
| What happens if you change CRM | The scoring layer does not belong to any one CRM. HubSpot, Zoho and Freshsales connect today; Salesforce data arrives as an upload. | Tied to the platform by design — and that tie is exactly why it needs no integration work. |
| Whether it can be pointed at your people | It cannot score or rank individual people. Aggregate reporting suppresses groups below five by default and can be configured no lower than two. | Platform analytics and rep-level reporting are ordinary parts of a CRM deployment. |
This table compares architecture and approach. Descriptions of other tools reflect their published design and are not performance or superiority comparisons.
You can check the Synq Score and the risk breakdown behind it against its own evidence — not every raw signal that fed the pipeline, and not early warnings. Seeing what the system used proves what it saw and decided; it does not prove what the deal was worth.
What exactly does read-only mean here?
It means the risk of trying SalesSynq is close to zero, which matters when the person approving this is in IT rather than sales. We read; we do not change your CRM records. The single exception is routing a task into a work tool, and that is a permission you grant per tool — refused until you do, and off unless you ask for it.
- No field on any record changes because SalesSynq looked at it.
- No stage, close date, owner or forecast category is ever set by us.
- No custom object, task or activity appears in your CRM unless you grant task routing for that tool — and it is refused until you do.
- Leave routing off, which is the default, and switching SalesSynq off leaves your CRM exactly as it was. There is nothing to unwind.
SalesSynq vs Salesforce Einstein — the questions we get
Find out what your Salesforce export is hiding
Upload a pipeline export and get a scored pipeline plus an honest report on your data — ten minutes, no credential, nothing written into your systems. Then join the private beta if it earned it.
Private beta is invite-only and requires approval. General availability targeted for Q3 2026.
Last updated . We refresh beta status, availability dates and integration status on a monthly sweep.