AI customer win-back system
The system automatically sends reminders to customers who inquired but did not make a purchase, did not attend a meeting, or stopped responding
Where time and leads leak
A contact base exists, yet repeat sales remain flat
Manual follow-ups feel tedious, so reps neglect them
Acquiring a new customer costs far more than reactivating
Prospects who asked for time to think are forgotten
What changes
After the launch the base stops being a dead list
Today
- Most inbound leads go cold after the first interaction
- Sales reps fail to execute scheduled follow-up steps
- Dormant contacts receive no systematic re-engagement
- There is no automated reactivation workflow
AI customer win-back system
After implementation
- Prospects receive timely, contextual re-engagement
- Managers get a task the moment a client shows interest
- Reports track reactivation conversions and drop-offs
- The existing database drives revenue without extra ad spend
Indicative cost
Pricing guidance for budget planning
AI customer win-back systemAutomatically follows up with customers who enquired but did not buy, or who stopped replying
The system automatically sends reminders to customers who inquired but did not make a purchase, did not attend a meeting, or stopped responding
When this service is needed
Most leads are lost after the first contact, and managers forget to follow up
What you receive
- Customer segments and reminder scenarios
- series of messages in authorized channels
- Tasks for the manager at the right moment
- Report: How many leads were generated and where they end up
- Who it suits
- Businesses with a high volume of requests and CRM
- Next step
- Dashboard for Executives
What you receive
Customer segments and reminder scenarios
Series of messages in authorized channels
Tasks for the manager at the right moment
Report: how many leads were generated, where they end up
How this runs through our methodology
- Request & Business ContextWe capture the business objective, the expected result, the systems in use and the starting context
- Discovery & AssessmentWe analyse the process, the data, the constraints and the risks, and establish a baseline
- Design & PrioritizationWe design the target process, the solution architecture, the priorities and the plan of work
- Build & ImplementationWe build, integrate, configure and test the solution
- Launch, Training & HandoverWe launch the solution, train the team and hand it over into daily use
- Support, Measurement & EvolutionWe stabilise the solution, measure the result and develop it further over time
How we measure the result
We establish the starting point, agree on the indicators and review progress at defined checkpoints
number of returned leads
stages where leads stall
responses to message series across channels
on-time manager follow-up tasks
The package for this direction
AI audit with rapid deployment and a 24/7 AI sales manager
AI Assistants for Sales & Customer Service
You need to process inquiries faster, win back customers, support your team, and improve sales quality with the help of AI
- AI audit and quick pilot
- 24/7 AI sales assistant
In the packageapproximately $1 700
- Separately
- approximately $1 900
- You save
- approximately $200
Indicative price. The final cost is calculated individually after a short diagnostic and depends on the scope, process complexity, data readiness, number of integrations and support format.
Frequently asked questions
Short answers to the questions that clarify how working together actually works