AdastraIQ

Private beta Google Ads AI for small businesses.

Sample data demo

See AdastraIQ in action.

This public demo uses sample data for Samui Laundry Service. It does not connect to Google Ads, use real customer data, or apply any account changes.

Example business

Samui Laundry Service

Ad spend

$420

Orders from ads

8

Revenue from ads

$2,860

ROAS

6.8x

Wasted spend detected

$74

Autopilot decision preview

Recommendations with risk, confidence, and controls.

These cards show how AdastraIQ explains why an action was suggested, whether it is eligible for controlled Autopilot, and when manual review is required.

Negative keywordlow risk92% confidenceAutopilot eligible

Block irrelevant search term: "washing machine repair"

This query looks like appliance repair intent, not a service buyer.

Why it matters

Clicks from the wrong intent can quietly drain budget without creating customers.

Expected impact

Reduce wasted spend from low-quality clicks.

Risk level

low

Confidence

92%

Autopilot eligible

Yes

Manual review required

No

Suggested action

Add "washing machine repair" as a phrase-match negative keyword.

Reason signals

irrelevant intenthigh wasted spend

Clicks

18

Spend

$76.00

Conversions

0

Search intent issuemedium risk73% confidenceAutopilot eligibleManual review

Investigate search terms with weak buyer intent

Several clicked terms look informational rather than customer-ready.

Why it matters

Low-intent traffic can make campaign activity look healthy while real orders stay flat.

Expected impact

Improve search intent quality before scaling the campaign.

Risk level

medium

Confidence

73%

Autopilot eligible

Yes

Manual review required

Yes

Suggested action

Review the search terms and decide whether to tighten keywords or add negatives.

Reason signals

low conversion qualitylow data confidence

Clicks

41

Spend

$98.00

Conversions

0

Tracking issuehigh risk84% confidenceManual onlyManual review

Check conversion tracking before automation

Ad spend and entered revenue do not line up with Google Ads conversion data.

Why it matters

Automation should not rely on weak tracking signals for higher-risk account changes.

Expected impact

Improve decision quality before changing bids, budgets, or campaign structure.

Risk level

high

Confidence

84%

Autopilot eligible

No

Manual review required

Yes

Suggested action

Review conversion tracking and manual revenue entries before enabling broader automation.

Reason signals

low data confidenceunstable campaign
Budget shiftmedium risk74% confidenceManual onlyManual review

Consider moving budget away from unstable traffic

One campaign is spending heavily while another has stronger order quality.

Why it matters

Budget shifts can affect volume quickly, so they should stay controlled until confidence is higher.

Expected impact

Potentially improve spend allocation after manual review.

Risk level

medium

Confidence

74%

Autopilot eligible

No

Manual review required

Yes

Suggested action

Compare campaign results before making any budget change.

Reason signals

unstable campaignlow data confidence

Private beta

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