The right next move, suggested.
What to offer, who to call, when to follow up, which deal to work first — Zuno reads the moment and recommends the move your best person would make.
Suggestions where you’re standing
Recommendations appear in the flow of work — on the deal, in the inbox, beside the customer.
Why this matters
Why suggestions move revenue
The gap between your best rep and your average rep is mostly knowing what to do next. Recommendations close that gap for the whole team, every day.
Best practice is trapped in heads
What works — the timing, the angle, the offer — lives in your top performer’s instincts. Recommendations turn it into shared infrastructure.
Cross-sell is your cheapest growth
Existing customers buying more costs a fraction of new acquisition. The only hard part is knowing who is ready for what — exactly what next-best-product answers.
Timing quietly decides outcomes
The same message at the right hour gets replies; at the wrong hour, silence. Knowing when each customer engages is free revenue.
Decision fatigue is real
Forty open conversations and one question: what now? An ordered, reasoned answer keeps momentum where willpower runs out.
What gets recommended
Five kinds of “try this”
Next best action
The single move most likely to advance this deal, today.
Next best product
Cross-sells and upgrades that fit how this customer actually buys.
Best time to reach out
When this person tends to reply, answer and engage.
Who to prioritise
Your day’s list, ordered by likelihood and value.
What to say
The angle, proof point or offer that’s worked on customers like this one.
Experience is just pattern recognition with mileage. Zuno brings the mileage.
Every rep inherits the instincts of your best one.
Recommendations with receipts
Each suggestion comes from patterns in your own customers and deals — and you can see the reasoning behind it.
Similar customers took the annual plan after month three
Your last four wins in this industry led with the case study
This buyer opens email at 8am and ignores it after lunch
Small nudges, large quarters
A better next step on every deal. A smarter offer in every renewal. A sharper first line in every email. Multiply by your whole team, every day.
Inside EazyCXM
Where the suggestions come from
Every recommendation traces to patterns in your own EazyCXM data — what similar customers bought, when this person replies, which plays won deals like this one.
Recommendation engines need behaviour, transactions and outcomes in one place. In EazyCXM, that’s simply where the data already lives.
From suggestion to instinct
Step 1
Surface
Recommendations appear in the flow of work.
Step 2
Act
One click to take the suggested move.
Step 3
Improve
What works feeds the next recommendation.
Recommendation, answered
Next best actions, products to offer, the best time to reach out, who to prioritise and what angle to lead with — based on your own wins.
No — they come from patterns in your customers and deals, with the reasoning visible.
In the flow of work: on deals, on accounts, in the inbox — not in a separate dashboard you have to remember to open.
Always. They’re suggestions, not orders — and outcomes teach Zuno what your team finds useful.
Yes — next-best-product is built in, matched to how similar customers actually bought.
Yes — part of Zuno AI inside EazyCXM.