MARKETING AI

Marketing AI

Guests, campaigns, channels, promotions, reputation — analyzed live.

Demo modeAttentionLast analyzed: Aug 27, 03:27 AM

Marketing Intelligence v3

Demo calculations

Campaign truth, not attributed-revenue theatre

RAIOS keeps spend, attributed revenue, modeled incrementality and contribution visibly separate so the owner can see what the campaign likely created — not only what the platform claimed.

100%

Evidence coverage

8 connected demo domains

Revenue truth model

Attributed and incremental value remain separate throughout the calculation.

Attributed revenueAMD 1,426,000

Modeled incrementalAMD 912,355

Marketing spendAMD 460,000

Incremental marginAMD 0

Modeled incremental revenue

AMD 912,355

64% of attributed revenue in the bounded demo model

Incremental ROAS

1.98×

Attributed ROAS: 3.10×

CAC / LTV relationship

103.6×

AMD 274 · AMD 28,400 CAC · LTV

Attribution coverage

71.4%

New guests supported by channel evidence

Demo

Budget pacing

66.0%

Committed campaign budget consumed

Demo

Channel concentration

32.8%

Largest revenue share in one channel

Demo

Promotion quality

21.9%

Incremental margin divided by promotion revenue

Demo

Negative review pressure

22.5%

Weighted inverse sentiment across review platforms

14 evidence-backed rules

What the production Marketing Agent evaluates

Every rule requires its metrics, minimum sample, evidence, confidence and human approval. Missing data produces silence, not invented advice.

Human approval required

Efficiency

Low ROAS

Budget pacing

Campaign fatigue

Channel concentration

Incrementality

Incrementality gap

Attribution coverage

Contribution margin

Acquisition & retention

CAC / LTV pressure

Reactivation gap

Promotion

Promotion dilution

Promotion cannibalization

Reputation & capacity

Negative reviews

Review response SLA

Daypart opportunity

Marketing health

Where marketing stands right now.

Score

Attention

Reviews slipping and CAC rising — retention needs attention.

Monthly guests

4,820

New guests

1,680

Returning

58.4%

ROAS

3.10x

CAC

274 ֏

LTV

28,400 ֏

NPS

Reputation

4.3 / 5

Marketing spend

460,000 ֏

Attributed revenue

1,426,000 ֏

AI confidence

79%

Campaigns

Active, scheduled, paused and completed campaigns.

Campaign	Channel	Status	Spend	Revenue	ROAS	Guests
Delivery first-order promoends in 336h	Delivery	Active	168,000 ֏	420,000 ֏	2.50x	380
Lunch bento pushends in 168h	Paid social	Active	96,000 ֏	342,000 ֏	3.56x	214
Loyalty program relaunchstarts in 48h	Email	Scheduled	0 ֏	0 ֏	0.00x	0

Channel performance

Spend, revenue and ROAS by channel.

Channel	Spend	Revenue	ROAS	Guests	Share	vs prior
Delivery	168,000 ֏	420,000 ֏	2.50x	380	29.5%	-3.2%
Paid social	168,000 ֏	468,000 ֏	2.79x	340	32.8%	+2.4%
Search	68,000 ֏	216,000 ֏	3.18x	148	15.1%	+4.6%
Organic	0 ֏	168,000 ֏	—	220	11.8%	+2.1%
Email	12,000 ֏	96,000 ֏	8.00x	68	6.7%	-1.4%
Influencer	44,000 ֏	42,000 ֏	0.95x	28	2.9%	-6.4%
Referral	0 ֏	16,000 ֏	—	16	1.1%	+0.4%

ROI analysis

Return on marketing investment by initiative.

Initiative	Invested	Return	ROI	Payback	Owner
Lunch bento push	96,000 ֏	342,000 ֏	+256%	12d	Mariam
Delivery promotion	168,000 ֏	420,000 ֏	+150%	21d	Mariam
Influencer partnership	44,000 ֏	42,000 ֏	-4%	—	Mariam

Customer acquisition

Funnel from impression to guest.

New guests this month

1,680

Customer acquisition cost

274 ֏

CAC trend

+8.6%

Impressions

620,000conversion 2.2%

Clicks

13,640conversion 18.4%

Site visits

2,510conversion 66.9%

Guests

1,680

Retention & loyalty

Cohorts, returning rate and lifetime value.

Cohort	Guests	Returning	Avg spend	LTV	vs prior
VIP loyalists	240	84%	18,000 ֏	64,000 ֏	+0.8%
Regulars	1,420	62%	10,800 ֏	28,400 ֏	-1.8%
Casual	2,180	34%	7,200 ֏	12,400 ֏	-3.6%
New guests	1,680	22%	6,800 ֏	7,400 ֏	+1.2%

Promotion performance

Redemptions, revenue and incremental margin.

Promotion	Kind	Redemptions	Revenue	Incr. margin	Effectiveness
Bento lunch bundle214/400 used	Bundle	214	342,000 ֏	96,000 ֏	76%
First-order discount380/500 used	Discount	380	420,000 ֏	68,000 ֏	68%
Friday happy hour62/180 used	Happy hour	62	96,000 ֏	24,000 ֏	48%

Guest segmentation

Segments by tier, ticket, frequency and estimated total segment revenue (size × ticket × visits, includes non-marketing channels).

Segment	Tier	Guests	Avg ticket	Visits/mo	Segment revenue (est.)	Growth
Office lunch regulars	Regular	1,420	10,800 ֏	2.4	3,680,640 ֏	+2.1%
Delivery regulars	Regular	980	8,400 ֏	3.1	2,552,160 ֏	-1.4%
Family diners	Casual	720	14,800 ֏	1.2	1,278,720 ֏	+3.4%
Sushi loyalists	VIP	240	18,000 ֏	2.8	1,209,600 ֏	+0.8%

Reputation & reviews

Ratings, review volume, sentiment and trend by platform.

Platform	Rating	Reviews	Sentiment	Trend
Google	4.4 / 5	986	78%	-0.8%
TripAdvisor	4.3 / 5	246	74%	+0.2%
Instagram	4.6 / 5	184	86%	+1.6%
Yandex	4.2 / 5	128	68%	-1.8%

Marketing forecast

Projected guests, revenue and ROAS.

Guests

5,120

Revenue

1,462,320 ֏

Spend

466,774 ֏

Avg ROAS

3.13x

Confidence

73%

Day 1Day 30

Recommendations

Highest-impact marketing actions right now.

Recommendation	Impact	Confidence	Owner
Address weekend review complaintsGoogle and Yandex reviews cite weekend wait times.	220,000 ֏ /mo	82%	Mariam
Relaunch loyalty programRegular cohort retention slipping — loyalty program can lift LTV.	140,000 ֏ /mo	86%	Mariam
Retarget site visitors70% of visits do not convert to guests.	96,000 ֏ /mo	74%	Mariam

Marketing timeline

Events, updates and decisions.

Aug 27, 05:36 AM

New-guest conversion slipping across mid-funnel.

Marketing AI · Acquisition

Aug 27, 04:48 AM

Delivery channel ROAS holding at 2.5x.

Marketing AI · Channels

Aug 27, 03:54 AM

Loyalty relaunch campaign scheduled.

Marketing AI · Campaigns

Aug 27, 03:27 AM

Google reviews dropping — weekend wait times cited.

Marketing AI · Reputation

Marketing AI operates on deterministic demo data. Live data will replace it after integration.