Know how your campaign lands before you send it.

Simulate your campaign against real customer segments. Get a prediction report with conversion likelihood, risks, and strategic recommendations — in 60 seconds.

or see an example report

You already know this story.

You spent three weeks on a campaign. The copy was tight, the segments were set, the budget was approved. Then it landed — and 40% of your audience didn't care.

No one tested how Segment B would actually react. Because there was no way to.

Your pricing change email looked fine internally. But it triggered a churn spike in your most loyal cohort — the one nobody thought to check.

The risk was invisible until the unsubscribes started.

You ran a post-mortem. The insight was obvious in hindsight. "We should have caught that." But you didn't have the tool to catch it.

Campaign reviews happen after the damage. Simulations happen before.

Three steps. One prediction report.

01

Describe your campaign

Paste your brief, outline your idea, or connect your existing tools. Give SimSend the campaign context and your audience segments.

02

We simulate the reactions

Multi-agent AI models your customer segments — each with their own motivations, objections, and decision logic. Every segment gets pressure-tested.

03

Get your prediction report

Segment-by-segment analysis: conversion likelihood, key drivers, risk callouts, simulated persona reactions, and strategic recommendations you can act on.

SimSend uses multi-agent AI simulation — thousands of synthetic customer personas, each with their own motivations, objections, and decision logic — to model how real segments respond to your campaign. It's not a chatbot giving you generic advice. It's a simulation running your campaign through a digital representation of your audience.

See SimSend in action.

Watch SimSend analyse a real campaign brief in real time. This demo uses pre-loaded data — no API calls, no cost, no signup required.

1
Analysing campaign brief
2
Building knowledge graph
3
Generating agent profiles
4
Running simulation
5
Generating prediction report

Simulation complete. See the full prediction report ↓

Run a real simulation with your own campaign brief. This connects to a live AI simulation engine and typically takes 2–3 minutes.

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Uses a lightweight model to keep this free. One simulation per email per day.
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1
Analysing campaign brief
2
Building knowledge graph
3
Preparing agent profiles
4
Running simulation
5
Generating prediction report

The simulation engine is currently offline.

What a prediction report looks like.

This report was generated from a real telecom campaign brief — a nationwide acquisition campaign offering a free gaming console with new contracts.

Example output — generated from a real telecom campaign brief
Campaign Effectiveness Prediction: Segment Reactions & Strategic Insights
Campaign: "Switch & Play" — National Broadband Acquisition • 6-Week Window • 5 Segments Analysed

Summary: Strong conversion predicted among gaming-affinity 18–34 segment (directional estimate: 72% positive reception). Primary risk identified: premium customer segment perceives promotion as brand-diluting. Recommended mitigation: segment-specific creative and separate communication track for high-ARPU loyalists.

Segment analysis

Gaming-Affinity Young Adults (18–34)

72% positive reception (directional)

This segment shows the strongest predicted response. The free console offer directly addresses their primary switching motivator — tangible, immediate value. Social sharing propensity is high; expect organic amplification.

  • High perceived value of console vs. contract cost
  • Console launch timing creates urgency window
  • "Switch" wordplay resonates with digitally-native audience
  • Bundle attach rate predicted above target at 68%
"I've been meaning to switch anyway — if I'm getting a free console out of it, that's a no-brainer. I'd share that deal with my group chat immediately." Simulated persona — 26, urban, T-Mobile customer, casual gamer
Risk identification

Premium Customer Perception Risk

38% negative sentiment (directional)

High-value loyalists (45–65, 10+ year tenure, EUR 110–160/month ARPU) may interpret the gaming promotion as a signal that KPN is deprioritising their segment. This group associates brand identity with reliability and maturity — not gaming culture.

Risk compounds if premium customers see the promotion in their own channels without a tailored message acknowledging their loyalty.

"I've been with KPN for fifteen years. Now they're giving away game consoles to get students to sign up? It feels like they've forgotten who actually pays the bills." Simulated persona — 54, suburban homeowner, KPN loyalist, EUR 145/month

Strategic Recommendations

  1. Isolate campaign creative by segment. Run separate creative tracks for acquisition (18–34) and retention (existing premium). The acquisition message should not appear in channels where premium loyalists are overrepresented.
  2. Launch a parallel loyalty acknowledgement. Before or alongside the acquisition push, send existing high-ARPU customers a personalised communication reinforcing their value — exclusive benefit, early fiber upgrade, or loyalty reward.
  3. Prepare for competitor counter-messaging. Expect competitors to highlight the 2-year lock-in and early termination fee. Pre-empt this with transparent pricing comparisons showing total cost of ownership is competitive regardless of the console bonus.
  4. Build a churn prevention trigger at month 18. Acquisition-driven customers have elevated churn risk at contract end. Begin retention outreach six months before expiry with a value-reinforcement campaign.

Built for the decisions that keep you up at night.

Campaign testing

Run your campaign brief through simulated segments before you commit budget. See which messages land, which fall flat, and where the risks are.

🗣

Voice of Customer simulation

Ask "what do my customers really think about X?" and get segment-specific reactions — without running a three-week research sprint.

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Pricing change impact

Model how a price increase, new tier, or discount strategy would land across your customer base before you roll it out.

Churn risk messaging

Test retention campaigns against at-risk segments. Find the message that keeps them — not the one that pushes them over the edge.

Private by design. Not by afterthought.

Never stored. Never sold.

Your campaign data is used only to run your simulation. It is not retained after processing and is never shared with third parties or used to train models.

GDPR-compliant. EU-based.

All processing happens within the European Union. SimSend is designed for GDPR compliance from the ground up — not bolted on as a feature.

Built for sensitive data.

We know marketers handle customer segments, purchase data, and behavioural profiles. SimSend is built for teams that take data responsibility seriously.

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