Clari gives you a number. Can you defend it?
Clari is built around forecast projection. SalesSynq gives you a quarter number broken into the deals behind it, so you can walk a CFO through it rather than assert it.
Clari is built to project the number and manage the process around it. SalesSynq is built so you can defend it: a low, mid and high scenario that arrives with the deals that swing it, the pipeline it came from, and an honest count of what it could not see. Same evidence, same scenario, every time.
What happens when the board asks where the number came from?
You have been in that meeting. The forecast held all quarter, then moved eleven percent in the last fortnight, and the question is not hostile — it is just impossible to answer well. You can describe the process. You cannot show the working. 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. And the cost is not only the quarter: once a number has been wrong in front of the board, every number after it is discounted.
You walk into the board meeting already knowing which deals move the number. Pipeline reviews stop being a guessing game. You know which deals move it, which ones the evidence cannot support, and what you would need to close that gap before the next review.
How does each product arrive at a number?
One projects it forward; the other builds it so it can be taken apart. Which you want depends on whether your problem is running the forecast process or surviving the forecast conversation.
What forecast platforms are built to do
Roll pipeline, rep and manager judgement into a projected number, track how it moves through the quarter, and give leadership a view of commit against target. The published positioning of the category is built around projection and pipeline management.
What SalesSynq is built to do
Give you a number you can take apart in the room. Low, mid and high come with the pipeline they were built from, the handful of deals that move the outcome, and a count of the deals the evidence could not support.
Why that difference shows up in the meeting
A projection invites "why should I believe that?", and the honest answer is usually a description of a model. A number that comes apart invites "which deals move it?" and "what is missing?" — and both of those have an answer on the screen in front of you.
What neither of them can do
Know what will happen. Nobody does. What you can have is a number that behaves the same way every time you run it, arrives with its own working shown, and is honest about the deals it had nothing to go on.
Everything described here about Clari comes from its own published material and describes how the product is built. The source-bound outcomes below are selected vendor case studies, not a SalesSynq result, shared benchmark or superiority comparison.
How do I get a number I can defend by Thursday?
Three steps. You can be through the first two before your next forecast call, and you can do it on a pipeline export if connecting a system needs an approval you do not have yet.
- 1
Connect your CRM
HubSpot, Zoho and Freshsales connect read-only in a few minutes, along with calendars, mail, help desk and delivery tools. On Salesforce you upload an export. Nothing in your CRM changes either way.
- 2
See what is actually at risk
The quarter comes back as a low, mid and high scenario with the deals that swing it named, the pipeline it came from broken out, and a count of the deals it could not score.
- 3
Act while it still matters
You work the swing deals while there is still time to change them, and you walk into the review able to answer "which part of the number do you want to challenge?".
When the evidence is too thin, SalesSynq tells you it does not know instead of guessing — and shows you what it could not see.
What can I actually put in front of the board?
Five things, all generated rather than assembled by hand the night before. The point of each is to move the room from “do we believe this number” to “which part of it do we want to challenge”.
- The scenario itself — low, mid and high, built from the evidence as it stood at a stated moment, so the number in the pack is the number that was computed.
- The breakdown: which parts of the pipeline contribute what, so a challenge lands on one part instead of on the whole number.
- The swing deals: the handful whose movement changes the outcome, named, each with the evidence behind its score.
- The count of deals it could not score, and what evidence would have let it.
- The list of what it would not guess at, and why — on the page, not hidden behind an upgrade.
Can I take this number apart in the room?
Yes, down to the individual deal, while everyone is still sitting there. Open any deal in the scenario and the evidence behind its score is saved next to the answer, so the score can be worked out again on the spot. That is the difference the table below is really about.
| Dimension | SalesSynq | Clari (forecast platform) |
|---|---|---|
| What the number is | A low, mid and high scenario built from the evidence behind each deal. Run it again on the same evidence and you get the same scenario. | A projected forecast, maintained across the quarter, combining pipeline data with submitted judgement and roll-up hierarchy. |
| What arrives with it | The pipeline it was built from, the swing deals that move the outcome most, and a plain count of the deals it could not score. | Pipeline movement, category roll-ups and trend views across teams and periods, with variance against submitted commit. |
| How you defend it when challenged | Deal by deal. Open any contributing score and the exact evidence behind it is there, ready to be worked out again in front of the person asking. | By reference to pipeline history and to the judgement submitted up the management chain. |
| What the range means | How far the number moves when the uncertain inputs move. It is not a probability, and it is not built from your past close rates. | Forecast platforms generally present predicted ranges or category-based projections derived from historical pipeline behaviour. |
| What happens when the evidence is thin | The deal is reported as missing evidence rather than scored, so a thin record cannot quietly prop up the number. | A projection is expected to cover the whole pipeline, so thin records are typically carried at their CRM value. |
| What it changes in your CRM | Nothing, by default. SalesSynq reads; it does not write to your CRM records. Routing a task into a work tool is a separate permission you grant per tool, and it is refused until you do. | Forecast platforms commonly maintain forecast categories and submissions inside or alongside the CRM record. |
This table compares architecture and approach. Descriptions of other tools reflect their published design and are not performance or superiority comparisons.
The range shows how far the number moves when the uncertain inputs move; it is not a probability and it is not built from your past outcomes. You can check the Synq Score and the risk breakdown behind it against its own evidence — not every raw signal that fed the pipeline.
Do we have to replace our forecast process?
No, and most teams should not try. Submission, roll-up and category management stay exactly where they are — SalesSynq reads and does not write to your CRM records. What you gain is a second view of the same pipeline built from evidence rather than judgement, plus the one column nobody else gives you: the deals it would not score, and what was missing.
HubSpot, Zoho and Freshsales connect read-only, along with your calendars, mail, help desk and delivery tools. Salesforce data arrives as an upload, and you can score a pipeline from an export in about ten minutes without connecting anything. SalesSynq is in invite-only private beta.
SalesSynq vs Clari — the questions we get
Walk into the next board meeting already knowing
Join the private beta and get a quarter scenario with its swing deals, its working and its gaps — or upload a pipeline export first and see what your own data supports in ten minutes.
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.

