WEBVTT 1 00:00:06.000 --> 00:00:10.520 Nestlé France is the first country in Europe and the third in the world for Nestlé. 2 00:00:11.400 --> 00:00:13.840 We have been operating for a century and a half 3 00:00:13.840 --> 00:00:17.360 and we serve our consumers with more than sixty-five brands. 4 00:00:17.560 --> 00:00:21.200 My role at Nestlé is to drive e-business, data, and technology, 5 00:00:21.480 --> 00:00:26.320 and to support the business through agile organization and innovation mindset. 6 00:00:26.320 --> 00:00:31.040 At Nestlé, data has become a key element of our strategy, with a clear value at stake 7 00:00:31.440 --> 00:00:35.760 to make sure we engage our consumers in a cost-efficient and relevant manner. 8 00:00:36.280 --> 00:00:39.440 This is particularly true when it comes to digital communication 9 00:00:39.760 --> 00:00:45.960 now that digital is becoming more sizable in our digital spent and reach to our consumers. 10 00:00:46.600 --> 00:00:50.880 Earlier this year, we launched an initiative with the Boston Consulting Group 11 00:00:50.880 --> 00:00:52.320 with one clear goal: 12 00:00:52.320 --> 00:00:54.320 Put a value on consumer data, 13 00:00:54.920 --> 00:00:59.400 be it first-party data, like websites or CRM programs, 14 00:00:59.760 --> 00:01:03.800 be it second-party data, like our retailers or partners, 15 00:01:03.800 --> 00:01:08.280 or, be it third-party data, like Facebook or Google. 16 00:01:08.280 --> 00:01:09.360 That's a pretty big scope, 17 00:01:09.360 --> 00:01:13.280 and we really wanted to go deep and granular in our assessment. 18 00:01:13.960 --> 00:01:18.280 We first assembled a team of BCG and Nestlé experts 19 00:01:18.920 --> 00:01:20.440 from marketing, 20 00:01:20.440 --> 00:01:21.600 from sales, 21 00:01:21.920 --> 00:01:23.440 from media, 22 00:01:23.440 --> 00:01:24.280 from insight, 23 00:01:24.280 --> 00:01:25.520 and from finance. 24 00:01:25.520 --> 00:01:29.120 We wanted to find answers on the following golden question: 25 00:01:29.600 --> 00:01:31.680 First, impact of a data. 26 00:01:31.880 --> 00:01:34.880 What transaction, what consumer data 27 00:01:34.880 --> 00:01:36.880 can really activate. 28 00:01:36.880 --> 00:01:38.520 Second, value of a data. 29 00:01:38.560 --> 00:01:40.000 What is the value 30 00:01:40.000 --> 00:01:44.120 that the data can activate for a given consumer for a given transaction, 31 00:01:44.120 --> 00:01:48.400 not only at once but over the consumer lifetime. 32 00:01:48.400 --> 00:01:54.160 And third, finally, the cost and ROI of a data. For a given data, 33 00:01:54.320 --> 00:01:58.520 how much am I willing to pay for, let's say, an email address? 34 00:01:59.680 --> 00:02:03.320 Of course, the results vary by type of brands or category, 35 00:02:03.680 --> 00:02:08.280 from everyday use type of brands to specialties like infant milk. 36 00:02:08.760 --> 00:02:12.560 Replicated across all our categories and brands with beta framework, 37 00:02:13.000 --> 00:02:15.000 we call it the data value framework 38 00:02:15.320 --> 00:02:19.200 that our teams can use to make better decision. 39 00:02:19.360 --> 00:02:22.960 First, challenge our supplier on data costs 40 00:02:22.960 --> 00:02:25.680 and our agencies on data activation. 41 00:02:25.720 --> 00:02:32.720 Second, build more precise audience strategies, brand strategies, and allocate budget across brands. 42 00:02:33.040 --> 00:02:36.400 And third, foster data sharing between brands 43 00:02:36.680 --> 00:02:39.920 to create a better ROI overall for Nestlé. 44 00:02:39.920 --> 00:02:40.960 I am proud to say 45 00:02:41.160 --> 00:02:45.520 that we have taken a bold step at Nestlé to unlock the value of consumer data.