Launch ad campaign experiments with AgentixFLO, without the manual work.
Ad campaign experiments get messy when creative revisions, platform settings and client approvals move on different schedules. By the time results arrive, your team may have changed enough variables that nobody can explain what actually worked.
$99/account/mo + 5% of ad spend. White-label for your agency.
Today
3 hrs
per client, typical
- Google Ads
- Meta Ads Manager
- Google Sheets
- Canva
- Slack
- Google Slides
With AgentixFLO
1.5 hrs
including your review
One workspace
Typical effort for agency teams, not a guarantee.
Start nowHow agencies do this today
The manual workflow, step by step.
For one client running one two-variant experiment, a typical preparation and reporting cycle takes about 180 minutes of hands-on work. That covers planning, creative coordination, setup checks and the results review, not the days or weeks needed to collect evidence.
- Step 1Time sink
Turn a client request into a testable question
Translate a request such as 'get cheaper leads' into one hypothesis, one primary outcome and a control-versus-treatment comparison. Pull baseline conversion volume and costs to check whether the available budget can support a useful test.
Google SheetsPaid media strategist - Step 2Time sink
Build and approve controlled creative variants
Create the treatment while keeping unrelated elements consistent with the control. Chase approval on the exact copy, offer and asset versions that will run. Late edits often change several variables at once.
Canva and SlackCreative producer and account manager - Step 3Time sink
Configure the experiment and verify measurement
Use the platform's experiment workflow where suitable. Check traffic allocation, optimization event, budget, targeting, exclusions, URLs and attribution settings. Confirm that the intended conversion fires correctly before launch.
Google Ads or Meta Ads ManagerMedia buyer - Step 4
Monitor delivery without rewriting the test
Check for broken destinations, rejected assets and abnormal delivery. Record necessary interventions rather than quietly adjusting bids, audiences or creative during the measurement window.
Google Ads, Meta Ads Manager and Google SheetsMedia buyer - Step 5Time sink
Reconcile results and explain the decision
Align reporting dates and conversion definitions, allow for conversion lag, and compare the agreed outcome. Write a recommendation that separates a supported winner from a directional result or an inconclusive test.
Google Sheets and Google SlidesPaid media strategist and account manager
Repeated coordination work
A typical cycle includes time spent finding the approved asset, checking whether it matches the live ad and rebuilding the same spend-and-results summary for the client.
Paid traffic that cannot answer the question
Changing the offer, audience and creative together can leave the agency with a performance difference but no clear explanation. The next cycle then spends more budget untangling the first.
Client confidence lost to premature winners
Calling a winner before delayed conversions arrive can lead to a rollout that later looks worse. The agency then has to explain both the reversal and why the original recommendation sounded certain.
The better way
The same job in AgentixFLO.
AgentixFLO brings ad channels, creative production and branded reporting into the same workflow. Allow about 90 minutes of agency work for the same two-variant cycle, including experiment design, measurement checks and approval. Faster preparation does not shorten the evidence-collection window.
- 1
Choose the channel and lock the comparison
Every ad channelWork with ads across Google, Meta, TikTok, Pinterest, Snapchat and Microsoft Ads. Choose the channel that can answer the client's question, then have the media buyer define the control, treatment, allocation and settings that must remain fixed.
You approve: The hypothesis, channel, conversion event, budget, traffic split and list of variables held constant.
- 2
Produce creative from a controlled brief
AI commercialsTurn the approved brief into a finished video ad and banners in every size. Specify which element changes and which elements must match the control, then review the outputs for accidental differences before using them.
You approve: The exact assets, claims, offer terms, destination and any differences beyond the intended treatment.
- 3
Review the ads before they go live
Every ad channelUse AgentixFLO for the chosen ad channel while the agency checks the experiment against its approved specification. Keep the test within one channel when the question concerns creative performance rather than channel allocation.
You approve: The final ads and client-account changes, including targeting, dates, budget and measurement settings.
- 4
Report spend and outcomes, then make the decision
See every dollarUse branded reports that tie spend to results for the client. Review those results against the experiment's decision rule, account for conversion lag and write the recommendation with its limitations.
You approve: The reporting window, interpretation, client-facing conclusion and any proposed rollout or follow-up test.
The playbook
Ad Campaign Experiments: Practical Guide
- 01
Define the decision before the hypothesis
Start with the action the client might take: replace a creative, change an offer or shift budget. Then define the comparison and the smallest improvement that would justify that action. Use one primary outcome, with separate guardrails for quality or economics.
Operator tip: If a winning result would not change a budget or production decision, the experiment is probably not worth the traffic.
- 02
Choose a design that isolates the treatment
Use randomized platform experiments where available. Keep audience eligibility, destination, optimization event and attribution settings aligned unless one is the variable under test. Simply putting two ads into one ad set does not guarantee an even or randomized comparison.
Operator tip: For a creative-concept test, multiple visual elements can change together, but the conclusion applies to the whole concept. Do not claim the headline alone caused the result.
- 03
Check feasibility before producing assets
Use the baseline outcome rate, minimum detectable improvement and chosen statistical criteria to assess sample needs. Translate those needs into likely spend and duration. If the account cannot support the test, simplify the design or label the work as exploratory.
Operator tip: More variants divide scarce evidence. On low-volume accounts, a strong two-arm comparison is usually more useful than a large creative tournament.
- 04
Separate safety monitoring from winner selection
Set a fixed review point or use a valid sequential testing method. Monitor broken tracking, policy issues and budget guardrails during the run, but do not declare a winner each time the dashboard changes direction.
Operator tip: Define emergency stop conditions separately from performance decisions. A broken checkout warrants intervention; an early CPA swing usually does not.
- 05
Close the test with mature outcomes and a rollout rule
Wait for the normal conversion delay, compare aligned cohorts and assess uncertainty around the primary outcome. Check quality guardrails before expanding the treatment. Record wins, losses and inconclusive outcomes in the experiment log.
Operator tip: For lead generation, reconcile downstream qualification using consistently defined, mature cohorts. A cheaper submitted form is not necessarily a cheaper qualified lead.
Quick reference
Run one defensible ad campaign experiment
Write the decision statement
Complete: 'If treatment B improves [primary outcome] enough to justify [business action], without breaching [guardrail], we will [next action].' Get client agreement before production.
Freeze the experiment specification
Record the control, treatment, eligible audience, randomization method, allocation, destination, optimization event and attribution settings. Give the experiment a unique ID.
Set the evidence requirement
Use the baseline rate and smallest worthwhile improvement to assess sample needs. Set the measurement window, budget cap, conversion-lag allowance and decision method before launch.
Approve and test the exact assets
Check final copy and media against the specification. Open each destination, inspect tracking parameters and verify the conversion event. Save the approved versions under the experiment ID.
Launch and maintain a change log
Confirm delivery after launch. Record outages, disapprovals and interventions with timestamps. If an intervention changes the comparison materially, decide whether the experiment needs restarting.
Read mature results
Evaluate the primary outcome using the agreed method, then inspect quality and cost guardrails. Use click-through rate or engagement to diagnose behavior, not to replace a disappointing conversion outcome.
Record the decision and next test
Mark the outcome as supported, directional or inconclusive. Explain what the evidence permits, approve any rollout and carry the remaining uncertainty into the next hypothesis.
Run it with Scout
Copy a prompt. Scout does the work.
Scout, draft a two-variant ad campaign experiment for [client] on [channel]. Business decision: [decision]. Baseline performance: [data]. Budget cap: [amount]. Propose one hypothesis, a primary outcome, quality guardrails, variables to hold constant and an evidence requirement. Flag missing inputs rather than filling them in. Keep client-account changes pending my approval.
Scout, use this approved experiment specification: [paste specification]. Prepare an AgentixFLO creative brief for a finished video ad and banners in [sizes]. Change only [treatment element]; preserve [fixed elements]. List the exact claims, offer details and visual differences I need to review before approving production and use.
Scout, use this experiment specification and results: [paste specification and mature results]. Prepare a client-facing summary using AgentixFLO's branded reporting. Separate spend and outcomes from interpretation, check the agreed decision rule and guardrails, and explain whether the evidence supports rollout or remains inconclusive. Draft the next action for my approval.
The difference
The manual way vs AgentixFLO.
Typical effort for agency teams. Your results depend on your clients and setup.
The offer
AgentixFLO: Ads, creative and visitor intelligence
- Every ad channel. Google, Meta, TikTok, Pinterest, Snapchat and Microsoft Ads.
- AI commercials. Turn a brief into a finished video ad, plus banners in every size.
- See every dollar. Branded reports that tie spend to results for every client.
- AgentixHUB account included (Site Studio not included)
$99/account/mo + 5% of ad spend
AgentixFLO creates ad creatives, launches campaigns and optimizes spend across your clients' ad accounts.
Start now Or talk to salesQuestions
Common questions about ad campaign experiments.
Before you buy
Questions agencies ask.
Put ad campaign experiments on autopilot with AgentixFLO.
Launch and optimize client ad campaigns with AI creatives, from one dashboard.
$99/account/mo + 5% of ad spend
More on ad campaign experiments
AgentixFLO
$99/account/mo + 5% of ad spend