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Exebid.DCA Best Cases ENG

Exebid.DCA Best Cases ENG

DCA (Data-centric Alliance)

August 29, 2016
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  1. < $45 00:02:20+ > 4 < 25% • Demography •

    New-builds • Plans Real estate • Purchase Real estate in Moscow and Region • Plans Finances Interested in home loans • High purchasing power + Moscow and Region real estate • Families with children • Audience segments • Look-alike • Retargeting < $51 > 3 < 40% 00:02:00+
  2. Pharmacy video $3,900 • Coverage: 1,5 mln • Targeting: •

    GEO • Illnesses • Categories • Referrals • Competition • Coverage: 1,5 mln • Targeting: • GEO • Illnesses • Categories • Referrals $3.78 2.49 $0.16 45% 1.8 00:00:50+ • Coverage 400 к • Targeting • GEO • Illnesses • Categories • Referrals • Competition
  3. 20 $9 • Scheduled test drives • Dealer search •

    Brochure download • Think of buying a new D Class car • Brand preferences: competitors • Large car-related segment + men aged 24–44 $3.94 $0.65 50% 1.9 00:01:20+
  4. <$10.3 $13,000 • Audience segments • Look-alike • Retargeting •

    Interested in loans Interested in e-purchases for more than a week • Large banking segment • Look for a car • Choose a university or course $3.94 $0.65 50% 1.9 00:01:20+
  5. Motivate tennis fans to watch the cham- pionship online Determined

    target characteristics of tennis fans Carried out an efficient advertising campaign optimized for the target action (watch Wimbledon online) 14 1.5 mln 250K 0.11% 0.61% 1653
  6. Organize an advertising campaign announcing a special offer for owners

    whose cats up to 1 year old Identified users who have kittens basing on interests and behavior Used 14 advertising strategies to specify target groups most interested in the offer Adjusted initial targeting and allocated budget to users with the highest conversion 1 mln 296 0.39% from 2 to 38%
  7. Identified Runet hipsters interested in specific clothes brands, street art,

    events, urban sport Showed ads to the target groups on pages with maximum feedback (high click rate). Advertise a brand event 1 mln 0.26% 10 1281
  8. Set up a campaign targeted at users with necessary characteristics

    and intentions to buy real estate or make an investment • Identified users with such lifestyle and income level characteristics and combined with an intention to purchase real estate or make a large investment • Adjusted target groups according to efficiency rate 100K 0.13% 30K 202
  9. Organize an advertising campaign targeted at users the project idea

    fits most • Built advertising strategies aimed at users with necessary interests, preferences and lifestyle • Specified typical behavior of target groups during the campaign 235K 0.14% 325
  10. 1. Strategic: the brand presence in the Net 2. Tactical:

    increase online sales • Carried out a wide campaign targeted at women aged 18+ and analyzed data on users that clicked the ad • Divided these users into groups & determined common interests • Adjusted marketing offer for target groups with different interests and behavior 27% 115% 69% 32% 59% 367 s 190 s 5.7p 3.4 p
  11. Maximum coverage of users who go to the cinema more

    than once a month • Divided movie fans audience into several interest groups • Used various creative offers to these groups basing on advertising strategies • Allocated budget to the most active target groups and pages with the highest affinity determined by CTR 1.5 mln 500K 6.3 min 18% 8,5 0.34% 0.04%
  12. Increase number of test drive appointments • Determined target user

    groups with interests relevant to the promoted car model • Rotated ads implementing several advertising strategies and reallocated budget to the most efficient ones 7% 2.2 7% 41% 44% 260 s 125 s 6 p 5.6 p
  13. • Increase in premium product segment (RUB 3,000 and up)

    sales. • Increase in new buyers share (up from 10%) • Optimized the procurement strategy (segments, list of sites) • Tuned up dynamic optimization of creative content for retargeting and for the new customers segment • +30% new buyers • +25% ROI 1m 10,00 RUB 2% 3000
  14. • To increase sales in 12 target Russian cities •

    Dynamic segmentation, personalized recommendations • on the website (in the cabinet) and dynamic retargeting in RTB • Increase in percentage of confirmed order conversion and the number of repeat purchases along with a small increase in the average bill. 5m 24,00 RUB 19K
  15. Ensure effective launch of an online store (based on a

    retail company website) • Dynamic recommendations on the website (all pages) and dynamic retargeting in RTB, look-alike targeting by selected categories • The cost of getting a paid order went down by 80% over the 2 months of the campaign. More than half of all orders are completed due to retargeting (15 days post-click) 30% Increase in the involved visitors number 50% Increase in the paid baskets share
  16. 300K R • Coverage: 1,5 mln • Targeting: • GEO

    • Illnesses • Categories • Competitors • Coverage: 1,5 mln • Targeting: • GEO • Illnesses • Categories • Directions • Coverage 400 к • Targeting • GEO • Illnesses • Categories • Referrals • Competitors about 1.00 RUB 2.49% $0.16 45% 1.8 23 sec.>40%
  17. 1 month • Women • 20-35 years old • children

    under 3 years old : those who visit portals and applications in the categories: Pediatrics, pregnancy, newborn, babies To engage in branded game «Introducing solid foods properly» <200.00 RUB4.81 % >70% >2.5% (30days)
  18. 30 Pharma Awareness for women (image clip view 15’) •

    Banners • Video Smarthones and tablets only 6m 3.54% 65% (involv.)
  19. 30 + • Awareness • Mobile LP traffic • Transitions

    and calls to dealers • Car enthusiasts (Male 80%) • A separate targeting at «tire» applications Videos 15' Smarthones and tablets only 250K 76% ~4% A bit below the organical (2.1 pages), 5% CTR to dealers
  20. Image coverage campaign over various segments Targeting: • Relevant theme

    sites «Health and Sport» user segment • «Moms» user segment 1.88% 5.21%
  21. Coverage 6M CTR 1.13 % Involvement 2.36% viewed the clip

    25% went on LP 30 days Awareness (image clip view on the website) Housewives with young children 6m 1.13 % 2.36% viewed the clip 25% went on LP
  22. A clear brief based on a factual ana- lysis of

    the target audience, realistic segment-dependent KPI, decision-making phases, external factors. It is recommended to provide access to Web Analytics Timely pixel insertion to accumulate knowledge about the visitors’ and buyers’ behavior, learning algorithms Product Data Creative TestTop KPI Connection usually takes 1-2 weeks (from the moment of correct pixel insertion) Creative content and landing page optimization (AIDA), link markup Access to statistics or dumps on meeting objectives, a system of crosschecks Timely launch, regular exchange of received data, mutual assistance to improve the campaign’s quantitative and qualitative indicators 1. 5. 3. 4. 2.