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AI Growth Solutions: Personalisation, Prediction and Workflow Automation

We use AI where it saves hours or lifts results, and nowhere else. Every idea is tested on a small audience first, so you see the proof before you scale it.

Quick answerAI growth solutions use AI for personalisation, churn prediction, send-time choice and workflow automation, tested on a small audience against a control group before you scale.
Proof

Results behind this service

AI support chatbot

launched, handling high-frequency queries and cutting contact centre dependency by 6%

AI-powered CRM dashboard

launched for tracking campaign and retention performance

What we deliver

AI Growth Solutions: what is included

Personalisation

Messages and offers that change with customer behaviour, not just first name.

Churn and conversion prediction

Find who is likely to leave or buy, so you act early.

Best time and channel

Reach each person when and where they respond.

AI-assisted content

Faster copy and creative variants, reviewed by a person before anything goes out.

Lead scoring and routing

Rank leads by likelihood to convert and send them to the right team.

Workflow automation

Cut manual campaign work, from audience building to reporting.

Use cases

Common AI Growth Solutions problems we solve

Real questions teams ask us, and how we answer them.

How do you personalise beyond first name?

The problem

Everyone gets the same offer, even when behaviour shows very different interests.

What we do

We use behaviour to pick the content, product or offer each person sees, and test it against a control group.

Moves: Conversion rate lift

How do you predict who will leave?

The problem

By the time a customer looks inactive, it is usually too late to win them back.

What we do

We build a simple churn score from usage patterns and trigger help for high-risk customers early.

Moves: Churn rate

How do you save hours on campaign work?

The problem

Teams spend days on audience pulls, copy variants and reports.

What we do

We automate audience building, draft copy variants for human review and send reports automatically.

Moves: Hours saved per campaign
How it works

Four steps from first call to results

1

Pick the right use case

Choose tasks where AI saves hours or lifts results.

2

Prototype

Test on a small audience with clear success rules.

3

Integrate

Connect to your platform and data safely.

4

Measure and scale

Keep what beats the control group, drop what does not.

Case study

Example project: A send-time optimisation pilot

Illustrative example

A retail app messaging 200,000 users a week.

The problem. Everyone gets the push at 6pm, and click-through sits at 2.0%.

What we do

  • Test personal send times on 10% of users against a control group
  • Compare click-through after two weeks
  • Roll out to everyone only if the test wins
2.0% to 2.5%click-through rate in the scenario
+25%relative lift in clicks
+1,000extra clicks per send (200,000 x 0.5 points)

Illustrative example. The numbers show the maths of a typical scenario and are not a client result.

Self-check

AI readiness score: are you ready to start?

Six questions about your data, goals and guardrails. You get a score and where to begin.

1. Do you have at least a few months of clean behaviour data?
2. Do you know the one or two tasks where AI would save the most time?
3. Do you personalise by behaviour, not just by name?
4. Can you test ideas against a control group?
5. Does a person review AI-written content before it goes out?
6. Are consent and privacy rules clear for how you use customer data?

Tools and channels

CleverTapMoEngageHubSpotZoho CRMMixpanelGoogle Analytics 4SQL

Numbers we move

Conversion rate liftChurn rateRevenue per userEngagement rateLead-to-customer rateHours saved per campaign
FAQ

AI Growth Solutions questions, answered

How can AI improve customer engagement?

AI helps with personalisation, send-time choice, churn prediction and faster content production, so messages feel more relevant and your team spends less time on manual work.

Do we need a lot of data to start?

Not always. Many wins, such as send-time choice and simple lead scoring, work with modest data. We check what you have before recommending anything.

Is AI safe for customer communication?

Yes, with guardrails. A person reviews AI-written content, we follow your consent and privacy rules, and every pilot is tested against a control group.

Ready to grow with ai growth solutions?

Tell us where growth is stuck. We reply within two working days with next steps.

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