Qtell for Marketing
See which marketing creates customers and revenue
Connect marketing activity to revenue, customer value and the outcome metrics the business measures. See which channels and campaigns create customers who buy, what those customers are worth and where performance is changing.
Start with Qtell →Connect spend to revenue
See what your marketing actually produces
Bring marketing activity together with customer, sales, booking and revenue data to understand which channels and campaigns create customers who actually buy.
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CAC by channel and campaign
See the cost of acquiring customers from each source.
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LTV by source and segment
Compare the value of customers acquired through different channels, campaigns and segments.
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ROAS based on actual revenue
Measure return against the revenue customers generate, rather than stopping at conversions reported by the advertising platform.
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Revenue attribution
Connect marketing activity to the customers and revenue it helped create.
These measures are already central to the existing Marketing proposition and should remain central to the page.
Get more from customer data
Build audiences from customers, not just clicks
Use customer data held across marketing, CRM, sales, booking and other systems to build audiences around real customer behaviour and value.
Build audiences from customers who convert, high-value customers, previous purchasers, booking behaviour, engagement and other information available across the business.
Where historical customer data is available, audiences can also reflect behaviour over time.
Then activate those audiences in the marketing platforms where they are needed. Qtell already supports building audiences from customer data across the business and activating them in marketing platforms.
Customers › Audiences › New audience
Lapsed high-value guests
DraftRULES
AUDIENCE SIZE
of 48,210 customers · matched across CRM, Bookings and Email
ACTIVATE IN
Lead scoring
Lead scoring does not have to rely only on form fills, email engagement or activity inside the marketing platform.
Qtell can use relevant information from marketing, CRM, sales and other connected systems to give Marketing a wider basis for identifying which leads are more likely to become valuable customers.
Where historical customer and conversion data is available, scoring can also use patterns from previous customers and sales outcomes.
Lead scoring based on information beyond the CRM or marketing platform is already part of Qtell's current Marketing and activation proposition.
Know what is changing
See changes in performance before the next report
Qtell can monitor marketing and customer activity across connected systems and surface changes that need attention.
See when acquisition costs rise, conversion changes, ROAS falls, a channel begins outperforming or budget pacing moves away from target.
Where business memory or historical data is available, Qtell can compare performance over time and investigate what is driving the change.
Intelligence
Watching 6 connected systemsPaid social CAC up 23% this month
Found 08:12 · Ads, CRM
Email win-back campaign converting 31% better
Found 07:40 · Email, Bookings
Budget pacing 18% ahead of plan
Found 07:05 · Ads
Paid search cost per lead up 18%
Found 06:30 · Ads, CRM
Paid social CAC up 23% this month
WHAT IS DRIVING IT
Keep marketing moving
Turn a finding into the next action
Qtell can move findings into the systems where marketing work happens.
Send an alert to the right person, assign follow-up, request approval, update an audience or carry out a permitted action.
Qtell can monitor defined areas of marketing performance, investigate what changed, route work to the right person or team, track what happens next and take permitted actions automatically or send them for approval. Qtell's current platform supports this monitoring, investigation, routing, approval and action flow.
Agents
3 activeRevenue watch
Monitoring 4 systems
Marketing spend
Investigating
Pipeline health
Monitoring 2 systems
Marketing spend agent
Watching Ads, CRM and Web analytics
SPOTTED
Paid search conversions down 9% this week
INVESTIGATED
2 campaigns account for 81% of the drop
ROUTED
Assigned to Alex M. in Marketing · follow-up task created
RECOMMENDED
Pause 2 campaigns and move £1,200 to retargeting
Approved by Alex M. · changes made in Google Ads
Data governance
Marketing and Finance work from the same definitions
Marketing increasingly depends on information held outside marketing systems.
Qtell keeps the same definitions and permissions in place when that information is used together, so measures such as customer, revenue, conversion, acquisition cost and customer value follow the business definitions agreed across the organisation.
Marketing and Finance can therefore work from the same definitions when marketing performance is measured against customers and revenue.
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Definitions
One agreed meaning for customer, revenue, conversion, CAC and the other measures the business uses.
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Permissions
Access to business data follows the permissions set for each person and AI application.
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Across systems
Marketing data can be used with customer, sales, booking and revenue information while the same definitions and permissions remain in place.
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Audit
Questions, data access and actions can be logged, providing a traceable record of how business data has been used.
Use the AI tools your team already has
Give AI the same business understanding as Marketing
Your AI can change. Your business rules shouldn't.
Claude, ChatGPT, Copilot and AI built into your marketing applications can all work through Qtell, with the same definitions and permissions applied to each.
That means the definitions behind revenue, customer, conversion and other business measures do not need to be recreated for every AI application.
Start with what you need now
Start with what is happening now. Add memory and deeper history when you need it.
Qtell can work directly with current information from the systems you connect.
Business memory retains selected information over time, making it possible to compare marketing performance between periods and see how customer and campaign behaviour changes.
Existing historical data supports marketing analysis that depends on what happened before Qtell was connected, including historical attribution, LTV, customer behaviour, historical audiences, forecasting and predictive modelling.
If you already have a suitable data environment, Qtell can work with it. If you do not, Qtell can provide and manage the historical data foundation when it is needed.
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Current
Campaigns, spend, customers, revenue and activity happening now.
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Business memory
Compare periods and track how marketing performance changes from activation onwards.
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Historical data
Existing customer and marketing history for attribution, LTV, historical audiences, forecasting and predictive modelling.
Questions before you start
FAQs
Can Qtell connect marketing spend to actual revenue?
Yes.
Qtell can use marketing activity together with customer, sales, booking and revenue information held in connected systems.
That means Marketing can measure channels and campaigns against customers and revenue rather than stopping at clicks or advertising-platform conversions.
Can we calculate CAC by channel and campaign?
Yes, where the required spend and customer acquisition data is available.
Qtell can use marketing costs together with customer data to calculate acquisition cost across channels, campaigns and other relevant segments.
Can Qtell calculate LTV by source or segment?
Yes, where the necessary customer and historical revenue data is available.
That allows Marketing to compare acquisition sources not only by how many customers they generate, but by the value those customers create over time.
Can Qtell calculate ROAS based on actual revenue?
Yes.
Where marketing activity can be connected to the resulting customer and revenue data, Qtell can calculate return against actual revenue rather than relying only on conversions reported inside the advertising platform. Revenue attribution and ROAS based on actual revenue are already part of the existing Marketing proposition.
Can we build audiences using CRM or booking data?
Yes.
Qtell can build audiences using customer information held across connected systems, including CRM, sales, booking and other customer data.
Where historical information is available, audiences can also use past customer behaviour and value.
Can audiences be sent back to our marketing platforms?
Yes.
Audiences can be activated in supported marketing platforms, including advertising and customer engagement platforms.
Can Qtell score leads using data beyond the CRM?
Yes.
Where the relevant systems are connected, Qtell can use signals from marketing, CRM, sales and other business data rather than basing the score on activity held in one application.
Historical conversion data can also be used where the scoring approach depends on previous outcomes.
Can Qtell tell us when campaign performance changes?
Yes.
Qtell can monitor defined marketing measures and surface changes such as increasing acquisition cost, falling conversion, changing ROAS or budget pacing moving away from target.
Where retained or historical data is available, Qtell can also compare performance over time and investigate the factors behind the change.
Do we need historical data for attribution?
It depends on the attribution being performed.
Qtell can work with current information from connected systems immediately.
If the analysis needs customer journeys or marketing activity that occurred before Qtell began retaining information, the relevant historical data needs to be available.
Do we need a data warehouse?
No.
Qtell can work directly with current information in the systems you connect.
If you want to use existing historical data for deeper attribution, customer analysis, forecasting or predictive modelling, Qtell can work with an existing suitable data environment or provide and manage the historical data foundation required.