透過數據分析大中華地區所有餐廳、菜系、地區資料,並為台灣餐飲業者提供合適的市場進入(Market entry)之策略建議
Analyzed Greater China all restaurants data crawling from mainstream apps with SQL and delivered solutions to market entry.
餐飲數據爬蟲於大眾點評網、新浪生活餐飲
台灣餐飲品牌A預計在2020年進軍大陸市場,但還未決定產品,因此品牌A希望團隊可以提供一套市場進入的策略,內容包括:
- 大陸地區最有市場潛力的菜色是什麼?可以推出什麼菜系?
- 該菜系最有市場潛力的城市?
- 應該選擇該城市中哪個區域作為第一個進入市場?
- 合理的定價範圍?
- 開幕後可以邀請哪些網紅試吃?
- 在進入市場前,有哪些成功的該菜系品牌可以做案例研究?
- 建議A品牌以
自助餐
作為推出的菜系,並以天津市
的河北地區
作為第一個進入市場,定價範圍在100-200內。因為- 相較於其他菜系,自助餐是大陸地區最具有市場規模與潛力的菜系
- 相較其他市,天津市對於自助餐具有更高的市場需求,其中天津市的河北地區當地並沒有相關競爭者,因此可作為第一個進入市場。
- 相較於全國自助餐平均價格100,河北地區擁有更高的飲食平均消費力200,因此定價範圍可以在100-200內。
- 在行銷方面開業後邀請天津市飲食評論網紅
ttinnn
、liuruichloé
、yqqy66
..以幫助品牌營銷。 - 在進入市場前,可以參考
陽光海岸自助百匯
和皇城老媽
作為案例參考對象
建議以「自助餐」(臺灣翻譯:吃到飽)作為進入的菜系,因為「自助餐的市場規模較大」
- 其中
市場規模(marketing size)
大約等於「需求量 X 平均單價」- 其中「需求量」,是以該菜系的「評論數量」(討論熱度)作為指標
- 其中「平均單價」,直接以「該菜系的餐廳之平均客單價」作為直接計算
SQL指令:列出每個菜系的「評論數」
select dish.dishname,
count(*),
avg(shop.avgprice) * count(*) as profit,
avg(shop.avgprice) from
shop.shopdish,
shop.shopcomment,
shop.shop,shop.dish
where dish.dishid = shopdish.dishid
AND shopdish.shopid = shop.shopid
AND shop.shopid = shopcomment.shopid
group by dish.dishname
order by profit DESC
建議以「天津」作為進入城市,因為相對於其他城市,天津城市對於自助餐的「需求量」最高
- 其中我們以「城市自助餐的評論數量」(討論熱度)作為需求量指標
- SQL指令:列出「自助餐」評論數最多的幾個城市
--- 需求最高的城市
select cityName,count(*) from
shop.dish,
shop.shopdish,
shop.shop,
shop.shopcity,
shop.city,
shop.shopcomment
where dish.dishid = shopdish.dishid AND
shopdish.shopid = shop.shopid AND
shopcity.shopid = shop.shopid AND
shopcity.cityid = city.cityid AND
shopcomment.shopid = shop.shopid AND
dish.dishname = "自助餐"
group by cityName
order by count(*) DESC
可以「河北區」作為進入的區域,因為
- 雖然天津市具有高需求量,但「河北區」沒有其他自助餐的競爭對手,因此具有競爭優勢
- 考量到人群的消費力,也可以發現「河北區」的人均消費力也最高
- 我們以區域的「餐廳平均消費額」作為人均消費力的指標
SQL指令:列出天津市「有販售自助餐的所有區域」
select dishname, regionName, count(*) from
shop.dish,
shop.shopdish,
shop.shop,
shop.shopcity,
shop.city,
shop.shopregion,
shop.region
where
dish.dishid = shopdish.dishid AND
shopdish.shopid = shop.shopid AND
shopcity.shopid = shop.shopid AND
shopcity.cityid = city.cityid AND
shopregion.shopid = shop.shopid AND
shopregion.regionid = region.regionid AND
dish.dishname = "自助餐" AND
city.cityname = "天津"
group by regionName
order by count(*) DESC
- SQL指令:列出天津市所有區域「餐廳平均消費額」
select regionName ,avg(avgprice), count(distinct shopname) from
shop.dish,
shop.shopdish,
shop.shop,
shop.shopcity,
shop.city,
shop.shopregion,
shop.region
where
dish.dishid = shopdish.dishid AND
shopdish.shopid = shop.shopid AND
shopcity.shopid = shop.shopid AND
shopcity.cityid = city.cityid AND
shopregion.shopid = shop.shopid AND
shopregion.regionid = region.regionid AND
city.cityname = "天津"
group by regionName
order by avg(avgprice) desc
可以考慮訂在102-260,因為全國的「自助餐」平均價格為93元,而河北地區物價比平均貴1.1~2.8倍
- 以當地的其他代表性菜系
西餐
與川菜
作為benchmark,和全國平均對照,可發現河北地區物價比平均貴1.1~2.8倍,- 全國西餐平均149,河北地區西餐到164,大約為1.1倍
- 全國川菜平均56,河北地區西餐可到160,大約為2.8倍
SQL指令:尋找河北地區其他的代表性菜系
select regionName ,dishname,avg(avgprice), count(distinct shopname)
from shop.dish, shop.shopdish, shop.shop, shop.shopcity, shop.city, shop.shopregion, shop.region
where dish.dishid = shopdish.dishid AND
shopdish.shopid = shop.shopid AND
shopcity.shopid = shop.shopid AND
shopcity.cityid = city.cityid AND
shopregion.shopid = shop.shopid AND
shopregion.regionid = region.regionid AND
city.cityname = "天津" AND
region.regionName = "河北区"
group by dishName
order by avg(avgprice) Desc
SQL指令:尋找河北地區其他的代表性菜系在全國的平均價格
select dish.dishname, avg(shop.avgprice)
from shop.shop, shop.dish, shop.shopdish
where dish.dishid = shopdish.dishid AND
shopdish.shopid = shop.shopid
AND dish.dishname IN ("自助餐", "西式正餐", "川菜")
group by dish.dishname o
rder by avg(shop.avgprice) DESC
可以邀請ttinnn、liuruichloé、yqqy66、cute兔乖乖、Sharon_999、弱水三千327,因為他們是天津市評論數最多的人
- 其中弱水三千327的平均評分最高,可以優先邀請
- Sharon_999的平均評分最低,必須要小心邀請
- SQL:列出天津市評論數最多的人
select author, count(*),avg(shopcomment.Positivescore), review from
shop.shop,
shop.dish,
shop.shopdish,
shop.shopcomment,
shop.shopcity,
shop.city,
shop.shopregion,
shop.region
where dish.dishid = shopdish.dishid
AND shopdish.shopid = shop.shopid
AND shopcomment.shopid = shop.shopid
AND shopcity.shopid = shop.shopid
AND shopcity.cityid = city.cityid
AND shopregion.shopid = shop.shopid
AND shopregion.regionid = region.regionid
AND city.cityname = "天津"
group by author
order by count(*) desc
- SQL:列出活躍所有吃自助餐很常評論的人
棄用,因為發現最多只有3人
select author, count(*), review from
shop.shop,
shop.dish,
shop.shopdish,
shop.shopcomment
where dish.dishid = shopdish.dishid
AND shopdish.shopid = shop.shopid
AND shopcomment.shopid = shop.shopid
AND dish.dishname = "自助餐"
group by author
order by count(*) desc
可以參考金钱豹国际美食百汇
這個單價在102-260內的自助餐品牌。
- 因為
金钱豹国际美食百汇
是平均單價*評論數量
且連鎖數量最多
最高的自助餐店
SQL:根據「單價*評論數量」列出大陸地區的自助餐店(單價須在100-200內)
select dish.dishname,shopname,count(*),shop.avgprice, count(*)*shop.avgprice as profit from
shop.shopdish,
shop.shopcomment,
shop.shop,shop.dish
where dish.dishid = shopdish.dishid
AND shopdish.shopid = shop.shopid
AND shop.shopid = shopcomment.shopid
AND dish.dishname = '自助餐'
AND shop.avgprice <=260 AND shop.avgprice >=102
group by shopname
order by profit DESC
SQL:列出大陸地區「連鎖數量」最多的自助餐店(單價須在100-200內)
select dish.dishname,shopname,count(*) from
shop.shopdish,
shop.shop,
shop.dish
where dish.dishid = shopdish.dishid
AND shopdish.shopid = shop.shopid
AND dish.dishname = '自助餐'
AND shop.avgprice <=260 AND shop.avgprice >=102
group by shopname
order by count(*) DESC