Fu Sushi Group ISR · 90 days · validated

Asia/Jerusalem · delivered + refunded · core business · non-Drive · Source: Snowflake F_PURCHASES + F_SESSION_VENUE_PATHS + F_SESSION_DISCOVERY_EVENTS

Generated May 21, 2026 · Brand 44fa5782-04c1-414b-ab1e-b842693e2082 · 9 venues (8 published, 1 unpublished)

137,395
Brand orders (90d)
24,186
First-time venue orders (FTU)
17.6%
Brand FTU rate
8.5M
Brand impressions (90d, session)
5
Top‑3 rank venues across 5 cities

Validation findings — what changed since v1

  1. Competitors (Concern 1): Confirmed accurate. Tel Aviv 167 / Modi'in 7 / Ashdod 10 hold under PRODUCT_LINE_HIERARCHY_3 IN ('asian','sushi'). Broader Asian pool (adds japanese, chinese, korean, ramen, noodles, poke, thai, vietnamese, bowl) brings TLV to 181 and HaSharon to 56 — added as supporting column.
  2. Impression share (Concern 2): 2.44% in TLV is mathematically correct given a 167-venue pool — but the missing context is FU Sushi ranks #3 of 182 in Tel Aviv Asian/sushi venues by 90d session impressions (behind Giraffe TLV and Shi-Shi). NOOCH is #9, Studio TLV is #19. Added "rank in city pool" column.
  3. Avg position (Concern 3): Replaced King/Ace tier with numeric average from F_SESSION_DISCOVERY_EVENTS.SECTION_ITEM_INDEX. Ensō best at 2.07, FU Sushi at 4.34, Studio TLV worst at 5.57 — investigate Studio's home-feed placement.
  4. Data confidence (Concern 4): Per-metric ratings appended. Anchor docs found: Wolt Acronyms (FTU), Sticky FTU FAQ, Venue Scoring Model, Discovery Vertical Content Ranking, Selection Intelligence & Deck Ranks.
  5. Heatmap restyle (Concern 5): DOW & hour tables now use a red→white→green gradient, per-row normalised. Peak cells outlined in green for instant scanning.
  6. New viz (Concern 6): Added per-venue mini sparkline-style bars showing DOW and hour share at-a-glance, with peak day/hour callouts. Toggle to switch heatmap ↔ minibars.

NOOCH city investigation — VENUE_CITY is the Wolt marketplace, not the postal city

NOOCH's physical address is הסייפן 31, רמת השרון (Sayfan 31, Ramat HaSharon) · lat 32.1347, lng 34.8382 · postcode 4724831 — clearly in Ramat HaSharon, not Tel Aviv. Yet D_VENUES.VENUE_CITY = "Tel Aviv". Investigated:

  1. What VENUE_CITY actually represents: the Wolt operational marketplace, not the postal/administrative city. There is no separate MARKETPLACE_NAME or CITY_NAME column in D_VENUES; VENUE_CITY is the marketplace label, full stop. Address-city lives only in VENUE_ADDRESS (free-text) and lat/lng / postcode.
  2. Ramat HaSharon is split across two marketplaces: querying every venue whose VENUE_ADDRESS mentions Ramat HaSharon returns 229 in "Tel Aviv", 8 in "HaSharon", 2 in "Herzliya - Ramat Hasharon". Southern Ramat HaSharon (Glilot / NOOCH's area) is Wolt's Tel Aviv marketplace; northern Ramat HaSharon is HaSharon.
  3. NOOCH's delivery polygon confirms it: the polygon spans lat 32.10–32.20 — almost entirely Tel Aviv (Ramat Aviv, Bavli, North TLV). It competes against the Tel Aviv Asian/sushi pool of 182 venues, not the HaSharon pool of 57.
  4. Conclusion: the "Tel Aviv" label is correct from a competitive/marketplace perspective — leave NOOCH in the Tel Aviv pool. The user's address-based intuition is right too; the two facts coexist because Wolt's Tel Aviv marketplace extends into southern Ramat HaSharon. Source field to trust for "where does it compete?" → VENUE_CITY. Source field to trust for "where is the storefront physically?" → VENUE_ADDRESS + lat/lng.

Executive summary for brand management

  1. FU Sushi and NOOCH generate 39% of brand orders but trail brand FTU by ~3.3pp — invest acquisition spend on these two flagships first.
  2. FU Sushi is rank 3 of 182 Asian/sushi venues in Tel Aviv by impressions — share looks small (2.4%) only because Tel Aviv is the largest, most fragmented Asian market on Wolt ISR.
  3. Studio | Tel Aviv has the worst average position (5.57) and rank 19/182 despite a 19.3% FTU rate — fix discovery placement before adding media spend.
  4. Friday is the weakest day for 6 of 8 venues; Sazanca and Ni-Shi peak Saturday — run Friday lunch + Saturday-night sustain campaigns.
  5. Ensō (Modi'in) and Kisu (Petah Tikva) already dominate their cities (rank 1–2 with 7–17% impression share) — protect leadership; don't over-invest in awareness.
  6. Sazanca (Ashdod) 42.7% FTU rate, only 6.4k orders on a tiny 11-venue pool — pure volume opportunity, not acquisition.

Venue scorecard — performance + competitive context (90d)

Pool = same VENUE_CITY · asian + sushi (current logic). Rank uses the broader Asian pool (asian+sushi+japanese+chinese+korean+ramen+noodles+poke+thai+vietnamese+bowl).

VenueCityOrdersFTU ratevs brand Competitors
curr / broad		 Impr (90d)Impr shareRank in cityAvg positionAd tier

FTU rate by venue (%)

Dashed line: brand average 17.6%

Brand impression share by city

Brand venue share of city Asian/sushi impression pool (90d)

Top 10 Asian/sushi competitors — by city (90d impressions)

Brand venues highlighted in brand blue. Pool = same VENUE_CITY · broad Asian (asian, sushi, japanese, chinese, korean, ramen, noodles, poke, thai, vietnamese, bowl). Source: F_SESSION_VENUE_PATHS.VENUE_IMPRESSION_COUNT · 90d. Switch cities ↓

Day-of-week distribution — per venue (% of venue orders)

Each row sums to ~100% (row-normalised). Peak day outlined green. Hover bars/cells for the exact value.

peak mid weakest

Hour-of-day distribution — per venue (% of venue orders)

Each row sums to ~100%. Hours 4–8 omitted (≤0.05% of orders). Peak hour outlined green.

peak mid ≤50% of peak

Advertising priorities

Ranked by FTU gap × volume × discovery weakness

#VenueTierRationale

Campaign timing

Recommended daypart / DOW boosts

ScopeBoost windowWhy

Data confidence audit

Per-metric confidence rating with rationale and anchor documentation.

MetricSourceConfidenceRationaleAnchor docs / explores

Studio Bakery — unpublished

Studio Bakery (VENUE_UNPUBLISHED, classified as bakery not sushi/asian) recorded 0 delivered/refunded orders in the last 90 days. Excluded from competitive analysis. Do not allocate paid media until republished.

How tiers are assigned

High: FTU rate > 3pp below median (17.4%) AND high-volume — acquisition priority.

Medium: Near-median FTU OR mid-volume with daypart/DOW gap — growth budget or timing fix.

Low: FTU at or above brand average AND already top-5 in city — retain efficiency, sustain spend.

Hours below 50% of venue peak → daypart targeting. Weakest DOW vs strongest → day-specific promos.

Sponsored Listing — Campaign Recommendations

Conclusion section · derived from validated 90d data · brand-wide insights → per-venue cards → budget split

Brand-wide insights

Per-venue campaign cards

    Suggested budget split (% of total Sponsored Listing budget)

    Weighted composite — sums to 100%

    Weighting: 40% volume potential · 30% FTU gap to brand avg · 20% avg position improvement headroom · 10% competitor pressure (rank in city Asian/sushi pool). Each metric normalised to share of brand total, then weighted and summed.

    VenueTierBudget %Share visualisationReasoning