Overall – so far in 2026
44,000
qualified leads passed to retail
14,366
days gained (equivalent human working days)
Over 2 million
messages sent by our AI agents
ELLA Q3 Results
OEM inbound lead qualification
The problem: Social campaigns were generating a high volume of inbound enquiries, and every one was passed straight to the dealer network. Many weren't ready to buy or lacked basic details, so dealers were buried in low-quality leads, follow-up was inconsistent, and genuine buyers risked slipping through the gaps.
The solution: optimAIze® now sits between social channels and the dealer. The AI agent engages every inbound lead instantly, qualifies it and only hands over leads that are ready for a dealer conversation, complete with the context the sales team needs.
Results
51.2%
of inbound social leads engaged in conversation
42%
of engaged leads reached a point of qualification and sent directly to their local retailer
1,326%
ROI
Post-purchase re-engagement
The problem: This large car supermarket had a significant database of customers who had previously bought a vehicle, but no time or resource for personalised prospecting. Outreach was limited to static email campaigns, which saw poor open rates and little engagement, so a valuable audience of known customers was going largely untapped.
The solution: optimAIze® now reaches out to previous buyers with personalised, conversational messages based on what they bought and when. Instead of a one-way campaign, customers can reply and get a genuine response. The AI agent answers questions, explores whether they're thinking about changing their vehicle and passes interested customers to the sales team with the context they need.
Results
72%
open rate
789
qualified leads identified and passed to sales
185
matched sales within 3 months of activation
Lost lead follow up
The problem: With a high volume of enquiries coming in, the sales team had to prioritise the hottest leads and move on quickly. Enquiries that didn't progress straight away were marked as lost, even though many of those customers were still in the market. Without time to follow them up, genuine opportunities were being written off too early.
The solution: optimAIze® now re-engages enquiries marked as lost, adding a further level of qualification that the sales team doesn't have capacity for. The AI agent reaches out, finds out where the customer is in their journey, what's changed and what they're looking for, then sends revived enquiries back to the sales team with full context so they can pick up the conversation straight away.
Results
18%
of lost leads reengaged in conversation
27%
of engaged leads requalified and passed back to sales team
3,793
leads requalified and returned to sales in 2026 (so far…)
1,503
matched sales in Q3 from lost leads
Service reminders
The problem: Static, one-size-fits-all service reminders weren't engaging customers, so vehicles due for service weren't being booked in.
The solution: optimAIze® sends personalised reminders tailored to each customer and vehicle. Customers can reply, ask questions and book, with ready-to-book customers passed to the service team with full context.
Results
47%
of leads messaged engaged in conversation with the agent following service reminder
42%
of engaged leads passed on to service advisor as qualified opportunity
766
additional service bookings secured in Q2
VHC follow up
The problem: Follow-up on amber work from vehicle health checks was optional and inconsistently carried out, so recommended work that was now due often went unbooked.
The solution: optimAIze® interprets service technicians' VHC notes, identifies amber work that's now due and sends customers a personalised reminder explaining what needs attention.
Results
81%
open rate
23.5%
of leads messaged engaged in conversation
43%
of engaged leads qualified and passed on to service advisor
47
qualified leads identified in 30 days
KMI leads
The problem: Keep Me Informed (KMI) leads for a new model launch were the manufacturer's lowest-converting data set. Interest was early and unqualified, so leads passed to retailers rarely progressed.
The solution: optimAIze® reaches out to KMI leads to pre-qualify their interest before anything goes to a retailer. Only leads showing genuine intent are passed on, with full context for the retailer to pick up the conversation.
Results
3.97%
Conversion before AI qualification
9.78%
Conversion after AI qualification
Case study summaries
ELLA's AI Agents have become an integral part of how we engage with customers across both Sales and Service. The ability to scale meaningful, personalised communication while freeing our teams to focus on high-value interactions has delivered real commercial impact.
Mazda's approach to using AI to better qualify and prioritise early customer interest represents a significant step forward for the retail network. Providing clearer insight into customer intent earlier, allows the network to focus and engage where it will have the greatest impact — creating more meaningful conversations, improving efficiency, and ultimately delivering a better Mazda customer experience.
These results come from a team with over 100 years of combined automotive and AI experience.
Built to handle your data — at scale
optimAIze® connect unifies and processes automotive data around the clock, so every AI Agent always has the full picture — instantly.
25+
out-of-the-box integrations with the CRM, DMS and lead-source platforms you already use
750k+
customer and vehicle records unified and kept up to date
1m+
records processed every single day
(Platform data)