Raise awareness and drive online sales in the market
* Adopt multi-version of creative to reach different interest target group *
Target Group: 18+ years old
Device Targeting: PC + Mobiile
1. 30+ million Effective Exposure
2. 110% orders KPI completion
Drive Quality Traffic, Membership Registration and Hotel Bookings
Target Group: Frequent Travelers
Device Targeting: PC + Mobile
Media Targeting: Leisure, travel, luxury, finance
Interest Cookies:
1. Travel/ Luxury + IHG historical cookies
2. Retargeting based on recency and frequency
Final Weekly Acheivement:
1. Generate 67% higher Clicks than planned
2. Total 20% Conversion Rate on Membership Registrations
Drive wide exposure and raise awareness in the China
Target Group: 18+ years old
Device Targeting: PC + Mobile
Media Targeting: Leisure, travel, shopping
Interest Cookies: Travel, finance, luxury
1. 130+ million Effective Exposure
2. CTR reach to 3.66% after optimization
3. 100% KPI completion
Maximize the conversion
KPI: CPA within RMB 20
Media targeting: Youku, Baidu, Tanx, MediaV, iQiYi, Sina, Tencent, Wasu, etc
Audience tagging: ARPG gamers, Martial gamers
Timeslot:
1. Night: some special scenes
2. All time: generic sences
By analysing the accumlated data,
1. Add the worst-performing website to the blacklist
2. Put more resources to quality paid ad. placements
3. Target ARPG gamers by BiddingX unique algorithms
4. Put more resources to quality paid pre-roll channels
1. the cost per conversion has been decreased by the quality clicks from precise targeting. Over CPA is 25% lower than the expected.
2. Payback is stable and beyond client's expectation (better than KPI)
Catch more quality users with the lowest cost
KPI: maximize the exposure; expected CPA: RMB 50
1. Experimental period: No limit to the traffic and delivery, to accumulate and analyse data for precise targeting
2. 1st optimization period: 30% increase of the conversion rate after the creative optimization
3. full demenision analysis: Analyse the data provided by clients to find out the feature of different demensions
4. 2nd optimization period: 50% increase of overall delivery efficiency by precise targeting and its optimization
1. Over 100 million reaches
2. Over 1.1 hundred thousand clicks
3. Experimental period: CPA ard RMB 55-65
4. 1st optimization period: CPA within RMB 50
5. 2nd optimization period: CPA ard RMB 40-45
6. 70.23% click rate in the stable period
7. Overall CPA is RMB 39.14, lower than expected cost RMB 10.86
Rebrand Lancôme Lipsticks as a fashionable, elegant Modern Lady to engage new user registrations and boost the sales orders.
Impression, Clicks, Website Traffic, Assisted Conversion- Cost per Order (CPO)
Target Group: 20 to 35-year-old female interested in fashion, including students and white collar.
Device targeting: PC & Mobile
1. We targeted the demographics who are interested in fashion and beauty, music, movie, entertainment and online shopping. Based on potential conversion rate of these target groups, we classified these target groups and customized the strategy of directed tagging, media and creative media buy.
2. Based on browsing habits of beauty tags in BiddingX DMP, we chose vertical media of female fashion, video media and musical media as the first priority in PC version, and social networking App and Female-focused Hero APP for the mobile devices.
3. With the integrated strategy, different target groups would reach different creatives in the format of banner ad for PC users and native ad for mobile users.
4. We targeted the first, second and third tier cities where citizens are demand in the beauty products.
5. Based on living habits of the target audience, campaign was launched intensively during the peak hours of high conversion rate.
Integrated with Suning 818 mega sale campaign, the campaign aimed to increase the order volume and maximize the ROI by pushing precise products ad to recall Suning users.
KPI: Re-targeted Unique Visitor Traffic, Assisted Conversion- Order Volume
Target Group: Users of Suning.com
Device Targeting: PC
1. By 1st party data docking and feature output, we customized the strategy of combined commodities, multi-media channels, geography test, drove traffic, accumulated data, fulfilled client's different requirements
2. The intelligent algorithm continuously optimizes the logic of dynamic creative, and increases the targeted delivery of core media and core users, and comprehensively increase the exposure to high-quality users
3. Displayed the content to the valuable users cost-effectively by SEO, to reduce the cost per traffic
1. Precisely recalled the past users of Suning.com , Unique Visitor(UV) arrival rate was 70%, which was 132% of KPI
2. The campaign recalled the returning unique visitor precisely and brought more than 1,000 orders to Suning.com. Its ROI was 19% higher than client's expectation (KPI)
Precise targeting for the new product launch, to increase the click-through rate, drive traffic to the product page of the official flagship, and boost the reservation orders
KPI: CTR (Click-through Rate), CPC (Cost Per Click), Landing Page Traffic (Unique Visitor)
Target Group: 25 to 40-year-old, middle & high-class female, stylist
Device Targeting: Mobile
We analyzed the user's behaviors of the target group and covered the target groups filtered by 3 dimensions including inherent attributes, interests and purchase tendency from fashion and digital tagging
We targeted the users who searched related products and its related keywords of competitors in 1 month, filtered by ""Audience Matching Services”
We set LBS geographic orientation targeted the large commercial district and digital center of the first and second tier cities to precisely lock the target groups
Through “Deeplink” technology by BiddingX, the campaign directly drove the clicks from mobile ads to T-mall product pages and greatly accelerate the conversion process
The campaign was promoted with the strategy integrated with video APPs, female-focused APPs, fashion Apps and mainstream APPs, via different ad format such as banner ad and native ad
To leverage the festival events, Casio pushed different thematical edition such as Christmas edition and New Year Edition. The target groups were exposed to different messages in the controlled frequency.
1. The campaign brought exposure for precise target groups to achieve efficient clicks which actual CTR is 112.5% of KPI.
2. The completion rate of Unique Visitor (UV) is 121.3%. The reservation rate is 9.6% (Reservation Rate=Reservation Volume/ Visitor Volume), resulting in more than 15,000 reservations for the new products.
To drive traffic and to boost sales performance
KPI: Landing Page Traffic; Order Volume
Target Group: 16 to 35-year-old female, White-collar women interested in fashion, lifestyle and brands
Device: Mobile
1. Through membership model analysis of VIP.com, we set target groups by filtering weighted tag
2. We set Lookalike audience expansion and targeted mobile users by multi-screen recognition
3. We used the functions of keywords search and page keywords to target Jay Chow's fan groups
4. The white listing was formed by high-quality social, female-focused, news and video APPs
5. We mainly spread the discounted offers via native ad, and video ad
6. We targeted the first, second and third tier cities of the eastern coast and some of the central provinces
7. The campaign was launched intensively during the peak hours of lunch break and evening
1. The campaign brought high-quality Unique Visitor (UV) to VIP.com. The UV completion rate is 132.7% of KPI
2. High-quality UV traffic brought efficient order conversion to VIP.com, and the completion rate of the assisted assessment (Order Volume) is 12.3% higher than client's expectations (KPI)
To Drive traffic to the official website and to expand new customers, by reaching the target groups
KPI: Landing Page Traffic, Unique Visitor (UV), Cost Per Unique Visitor (CPUV)
Target Group: E-commerce visitors in different categories including but not limited to F&B, household chemical, homeware, mother and baby, and fashion
Device targeting: PC & Mobile
1. We pre-inserted the coding/pixels on the advertiser's website before the campaign launched for collecting and analyzing the visitor data, and setup the audience tag through Sunteng BiddingX's own DMP platform and docked third-party database.
2. By using BiddingX algorithm for the historical data mining, we delivered directed ad to people who have visited live e-commerce sites, people who have purchased food, household items, mother and baby products, or home improvement products, or people who have searched for METRO's and related products recently.
3. Through the DCO (Dynamic Creativity) system, personalized advertising creatives were displayed to different users based on users' behaviors.
1. Landing rate exceeds 60%, is 125% of KPI, UV completion rate is 146%, and CPUV is 55% lower than expected.
2. BiddingX achieved Metro's KPI, and significantly beyond client's expectation (KPI) to win the primary pitch
KPI: HWSL (Hot Warm Sales Lead), Clicks, Registrations, CPHWSL, Online-to-Offline
Target Group: Male aged 25-40, Upper Middle Class, CarPurchase Intention
BiddingX DNA, BiddingX PDMP Visitor Retrieving Technology, BiddingX DCO, BiddingX A/B Tester
1. HWSL: 162%
2. Click Rate: 59.5%
3. Registration Rate: 200%+
4. CPHWSL: 23% lower than the expected
5. CPT: RMB 45 lower than the expected
6. Online-to-Offline Rate : 9%
Driving traffic to IBM landing page by Precisely capturing IBM target audience
KPI: Traffic, Engaged Visit, Engaged Rate, CPEV (Cost Per Engaged Visit)
Target Group: interested in AI and high-tech, Interested in Corporate Strategy and Transformation, Top Management who have the power of decision making, IT technician and developers
Device Targeting: PC + Mobiile
Data Management Platform(DMP), BiddingX Automatic Visual Inspection Technology, BiddingX PDMP Visitor Retrieving Technology, Lookalike
1. Completion Rate of Exposure: 270%
2. Click Rate: 240.1%
3. Engaged Visit Rate: 214.2%
4. Engaged Rate: 30%+
5. CPEV (Cost Per Engaged Visit) is 53.3% lower than the expected
Professional Full-Stack Marketing Solutions
Professional Full-Stack Marketing Solutions
