Five best practices to build audience and generate revenue
Transcription
Five best practices to build audience and generate revenue
Five best practices to build audience and generate revenue through Data-Driven Marketing Tom Ratkovich INMA European Conference 20 October, 2011 Five best practices to build audience and generate revenue through Data-Driven Marketing Tom Ratkovich INMA European Conference 20 October, 2011 About me • Founded ASTECH InterMedia in 1992 • Focus: transformation through database/digital marketing solutions • Clients – The New York Times – The Washington Post – USA Today – The Sydney Morning Herald – Toronto Star • Formed LMP in 2011 to “practice what we’ve preached” – Acquire community newsmedia companies that fit our profile – Leverage shared services and database/digital best practices to profitably deliver capabilities to the community newsmedia market The Laboratory • Print & digital redesign • Daily print to weekly • 24/7 digital • Feature-oriented content • Revamp distribution • Drop classifieds for SMB bundle • Reallocate sales resources to mid-size and major opportunities • Introduce new print/digital products to build audiences, gain knowledge • Create production/operational efficiencies through outsourcing • Build database/digital capabilities (Emailvision) Digital First? • • • • • • Not an option for the Sentinel to remain viable in the short-term… …but an opportunity to grow revenue and audience Digital < 1% of total revenue No email database Limited presence on social media sites Print still core in our community CUSTOMER First! • Deliver multi-platform solutions – Meet consumer needs for relevance, value & channel preference – Meet merchant needs for optimal ROI • Key drivers of LMP strategy 1. Intelligence 2. Integration 3. Automation The Marketing Data Center Subscription Data Planning & Reporting Digital Data Multichannel Campaign Management Social Activity Contests and Events Cleanse Demographics Customer Service Standardize Do Not Solicit Transient Advertising Telemarketing Loyalty Programs Advertiser Customers Integrate MAAX Data Visualization, Segmentation & Analysis Modeling and Data Mining Email, Mobile & Social Executions The New York Times Regional Media Group Case Study: Improved marketing performance through demographic targeting Multichannel Customer Acquisition • Created custom segmentation scheme integrating PRIZM and transaction data – Seven “super-segments” within three “lifestage” groupings. • Optimized email and direct mail channels based on consumer preference and/or profile • Dynamic messaging delivers tailored offers and creative executions Results: Significant Improvement in Productivity Cost per Unit by Channel $200 $180 $160 Cost per unit of circulation fell from $96 to $65 in two years. $140 $120 $100 $80 $60 $40 $20 $0 Crew-Kiosk Direct Response Field FSI Telemarketing 2006 2007 Web Total Pressure Voluntary Total All 2008 Annual Source Savings: $1,000,000+ The Sacramento Bee Case Study: Integration of print & digital to drive advertiser performance Hardware Store Customers: PRIZM Lifestage In keeping with the earlier findings regarding the age and affluence of YOUR customer, it is not surprising that the M1 and M2 groups constitute 29% of the total file. Those Lifestage groups appearing more often among YOUR customer group (Y1, F1, F2, M1, M2) than the market at large comprise 69.7% of customers. 18% 16% 17% 15% 14% 14% Market 14% Hardware Store 12% 11% 9% 10% 6% 6% 4% 7% 6% 9% 9% 9% 7% 8% 12% 11% 8% 9% 8% 7% 5% 3% 3% 2% 0% Y1 Y2 Y3 Under 45 Singles & Couples No Children F1 F2 F3 Between 25 and 54 Families with Children F4 M1 M2 M3 M4 Over 45 Singles & Couples No Children Hardware Store Customers & Bee Products Among YOUR Customers we see the following: - 40% are current subscribers - 21% are both subscribers and sacbee.com registrants - 36% are sacbee.com registrants - 55% are Bee Print or Online customers - 45% are MVP (shared mail) recipients Customer File Hardware Customers: Utility GRID Lifestage Group: Total Pop, in Thousands Store Index Store Comp. % Monetary Value ◄ Affluence Under 45 No Kids Y1 Y2 Y3 195K 189K 40K 104 66 40 14.7% 9.1% 3.0% 16.9% 8.7% 2.4% ◄ Affluence 25-54, Children F1 F2 F3 F4 78K 213K 191K 49K 112 119 63 42 6.4% 10.8% 7.1% 2.9% 5.9% 12.1% 5.1% 1.0% ◄ Affluence 45+, No Children M1 M2 M3 M4 182K 244K 140K 67K 231 179 117 86 11.9% 16.5% 9.4% 8.2% 16.5% 17.0% 7.9% 6.5% All Home Improv. $1,000+ 116 108 ▲ 74 65 43 51 116 133 ▲ 120 129 ▲ 79 76 66 44 105 114 ▲ 109 116 ▲ 108 100 ▲ 101 87 Weekly Print Audience Sacbee.com Weekly Combined Audience 103 133 106 107 152 118 40 37 41 120 134 114 107 148 111 71 79 71 38 51 36 150 114 146 129 87 126 104 63 99 75 44 71 Text messaging Internet Usage Broadband Connection 10+ Hrs Online/Week E-Mail Usage Yahoo! 130 124 117 126 118 124 110 107 107 105 101 107 43 67 68 62 76 81 121 129 133 100 118 131 123 113 117 105 111 121 108 98 93 89 100 88 108 72 69 83 65 84 97 114 116 153 111 112 71 97 99 93 97 89 72 75 79 77 73 81 64 72 76 64 71 71 USA TODAY Case Study: Enhancing operational efficiency through automation Daily email, direct mail, telemarketing communications • • • Print & Digital Engagement – Daily email links to digital edition – Weekly welcome emails & letters to new subscribers – Subscriber surveys and satisfaction research – Content & coverage promotion – Contest promotion Print & Digital Renewals – Daily email, direct mail & telemarketing renewal initiatives – Electronic billing – Subject line & copy testing to improve open and click-through rates – Sampling leveraged to optimize timing and sequencing of communications Reactivation of Vacation/Temporary Stops – • Automated email to vacation stops of 90 days or more with no re-start pending Miscellaneous multichannel communications – Service & delivery alerts – Auto pay conversion – Upgrades – Credit card expiry data collection – Opt-in advertising Challenges • • • • Accuracy Resource intensive Limited metrics Lack of testing and optimization Approach • • • • Establish business rules for communication Prioritize digital channels where possible Automate Free resources for testing Results • • • • • • Eliminated hours of manual campaign creation Minimized human error Applied complex rules to ensure right message/channel/time/offer More sophistication in testing and creative approaches Improved open and click-through rates 37% improvement in CPO In summary… …I’m out of time! Thank You! Tom Ratkovich, Managing Partner Leap Media Partners, LLC +1.303.886.0202 [email protected]