Investigate growth opportunities
Investigate growth opportunities using the current store experiment and its supporting records.
STORE EXPERIMENT / CUSTOMER SEGMENT / CONVERSION MEASURE
AI agent for ecommerce growth teams
Work on the store changes that evidence says matter.
Investigate growth opportunities, execute store experiments and evaluate commercial outcomes—carried through by an autonomous AI agent that adapts to your work.
A specialised AI agent you can ask for more. Chat here on the site.
$249.00/month, including $50.00 in monthly credits. Monthly subscription. Before tax.
Specialised AI agentYour own report presetNo connection needed to begin
Store experiment workbenchSPECIALIST / 1107
YOUR SPECIALISED AI AGENT
One place for investigate growth opportunities, execute store experiments, evaluate commercial outcomes.
MADE FOR YOUR WORKDAYStart with work already on your desk
Your first useful assignment.
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →YOU COULD ASK
“Investigate the repeat-purchase drop, implement the strongest supported experiment and deliver a result review with the next actions.”
- Investigate growth opportunities
- Execute store experiments
- Evaluate commercial outcomes
A useful first result
An editable store experiment and conversion measure register with traceable references, resolved discrepancies and specific next actions.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
Investigate the repeat-purchase drop, implement the strongest supported experiment and deliver a result review with the next actions.
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with your store experiment, customer segment, conversion measure records, current commitments and the connected accounts used to execute store experiments.
- Investigate growth opportunities
- Execute store experiments
- Evaluate commercial outcomes
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
- You · Ecommerce growth teams
Investigate the repeat-purchase drop, implement the strongest supported experiment and deliver a result review with the next actions.
- Your AI agent · AI Agent Store
The decline is concentrated in one product cohort and overlaps a stock gap. I am separating availability effects before choosing the test.
Work in progress - You · Ecommerce growth teams
Keep margin and customer experience in the success criteria, not only order count.
- Your AI agent · AI Agent Store
The review includes cohort evidence, verified experiment changes and observed outcomes with availability effects kept visible. Your working files and dashboard reflect the recorded outcomes.
Later · delivery and saved results
STORE EXPERIMENT / CUSTOMER SEGMENT / CONVERSION MEASURE
A working brief for your AI agent.
Use store analytics, customer evidence, contribution margins and experiment settings. Verify changes in the actual storefront and separate measured experiment outcomes from coincidental sales movements. Your specialist maintains these working records in regular Teams as the assignment develops.
AI
Your AI agentPrepared for ecommerce growth teams
Store experiment and conversion measure registerEXAMPLE, NOT LIVE ACTIVITY
An example record for store experiment, customer segment, conversion measure, customer cohorts.
01Store experiment02Customer segment03Conversion measure
The useful next step
Investigate growth opportunities
Investigate growth opportunities using the current store experiment and its supporting records.
The details your specialist follows
Working records for ecommerce growth teams
Follow each store experiment through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: changes in customer segment, missing conversion measure evidence and unresolved store experiment dependencies.
Illustrative working document · your records start empty
| Store experiment | Dependency to follow | Evidence of completion |
|---|---|---|
| OPPORTUNITY081-104 | Investigate growth opportunities | Measurement issues resolved |
| OPPORTUNITY081-118 | Execute store experiments | Store improvements verified |
| OPPORTUNITY081-126 | Evaluate commercial outcomes | Growth commitments met |
Active store experiment records3
Customer cohorts across the planned work24 customer cohorts
Outcomes with supporting evidence2
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
From enquiry to a useful next step
Store experiment and conversion measure register. Your way of working.
01
Brief and source records received
Add a job reference and the details you already know.
02
Investigate growth opportunities
Store experiment and Customer segment, ready to check.
03
Execute store experiments
Give your specialist the outcome and let it carry the work forward.
04
Outcome evidence verified
Keep working records in Files and Tasks.
05
Evaluate commercial outcomes
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
A small tool for a real job
Customer cohorts across the planned work. Before the back-and-forth.
Watch for changes in customer segment, missing conversion measure evidence and unresolved store experiment dependencies. Investigate the cause, carry useful follow-through to completion and improve the saved method when it helps.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
- Store experiment
- Customer segment
- Conversion measure
- Customer cohorts
Try your own numbers
Customer cohorts across the planned work
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
Built around the details that matter
Investigate growth opportunities. With the right questions already in mind.
An online retailer's growth experimentation team, distinct from ecommerce support and agencies selling website conversion projects.
Execute store experiments
Execute store experiments while keeping customer segment changes traceable.
Evaluate commercial outcomes
Evaluate commercial outcomes with checked conversion measure evidence and editable working files.
Prepared for your business
The numbers behind your ai agent for ecommerce growth teams.
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded cases · outcomes
Growth experiment reviews delivered
What this measures
Count one distinct observed outcome for “Growth experiment reviews delivered”, linked to its store experiment and stable completion-event ID. Use the real completion timestamp and supporting conversion measure reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Measurement issues resolved
What this measures
Count one distinct observed outcome for “Measurement issues resolved”, linked to its store experiment and stable completion-event ID. Use the real completion timestamp and supporting conversion measure reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Recorded cases · outcomes
Store improvements verified
What this measures
Count one distinct observed outcome for “Store improvements verified”, linked to its store experiment and stable completion-event ID. Use the real completion timestamp and supporting conversion measure reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.
Average · hours
Experiment launch to completed analysis
What this measures
Measure “Experiment launch to completed analysis” in elapsed hours using the actual start and end timestamps for the same store experiment. Store one duration per completed observation with source references and timezone. Exclude pending cases, missing timestamps, reversed intervals and illustrative values. Never substitute a current status or sum recurring snapshots.
Observed rate · %
Growth commitments met
What this measures
Completed commitments assessed for “Growth commitments met”, linked to stable store experiment references. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Compare actual completion with the original agreed deadline and timezone; never move the deadline to improve the result. Corrections replace the original event instead of counting twice.
Observed rate · %
Experiment integrity checks passed
What this measures
Completed assessments for “Experiment integrity checks passed”, linked to stable store experiment references. Numerator: passed; denominator: passed plus failed from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Apply the documented requirement or acceptance checklist and retain the actual supporting evidence; do not infer a pass from an administrative status. Corrections replace the original event instead of counting twice.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Specialised in your trade. Open to your next idea.
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
An AI agent prepared for your business
The starting instructions, intake questions and working rules already match ecommerce growth teams. Add your service list and one example of your tone when you are ready.
Give your agent the whole job
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Ask beyond the starting workflows
Your agent can take on a new assignment, build a new workflow, improve its saved methods and adapt its dashboard as your needs evolve. The starting examples do not limit its capabilities. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Your AI agent for ecommerce growth teams.
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$249.00/month
Capacity for 1 running agent · hosting throughout the month
Start my AI agent →A clear starting total
Your Agent plan is $199/month with hosting included. This recommended offer adds $50 in monthly Platform Credit funding, for $249/month.
$249.00 before tax today and monthly, including $50.00 in monthly Platform Credit funding.
Credits offer an easy start and unused credits roll over. You can switch to your own subscriptions or API keys anytime, with no Platform Credits needed for that AI work. Hosting is included within your agent’s resource allocation. Optional voice and other services use credits.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Other plans and connection options →
Prefer your own AI accounts? Choose a plan without the extra $50 monthly credit funding using the options above. Changing AI access alone does not remove that funding. Automatic top-ups start off; buy credits or set top-ups and spending limits when needed. Keep the full Teams controls for models, connections and supported settings.
Before you begin
An AI agent for ecommerce growth teams.
How does the agent keep store experiment work accurate?
Use store analytics, customer evidence, contribution margins and experiment settings. Verify changes in the actual storefront and separate measured experiment outcomes from coincidental sales movements. It keeps source references with the working files, checks the result and follows up on discrepancies. Ask it to adjust the method or report whenever your needs change.
Is this only for the three tasks shown?
No. This is an AI agent specialised for ecommerce growth teams, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
What happens after I subscribe?
After payment, we prepare your AI agent for ecommerce growth teams, its workflows and your store experiment and conversion measure register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
Do I need to connect email or messaging?
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Does this replace my existing business software?
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
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