# US 2018/0025369 A1 · System and method for providing social media marketing performance and feedback

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- Number: US 2018/0025369 A1
- Document ID: US20180025369A1
- Status: Published application
- Kind: A1
- Application number: 15/720,397
- Filed: 2017-09-29
- Published: 2018-01-25
- Earliest claimed: 2012-11-14
- Assignees: MarketBridge Inc.
- Applicants: MarketBridge Inc.
- Inventors: Lane Douglas; Michael Kelleher
- Web page: https://patentgrep.com/patent/US20180025369A1

## CPC

- G06Q 30/0201: Market modelling; Market analysis; Collecting market data
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

Provided are a system and a method that compares a client's brand to competitors' brands using normalized reference benchmarks. The normalized reference benchmarks are produced utilizing social media metrics. The system and method also provide constructive feedback on how the client can obtain a higher normalized reference benchmark. Also provided is a computer program code that implements the method steps.

## Claims

### Claim 1

A method of providing a brand benchmark of marketing performance for a client brand comprising:
defining an industry arena or vertical;
providing a client brand within the defined industry arena or vertical;
providing a group of competing brands within the defined industry arena or vertical;
providing brand keyword groups for the client brand and each competing brand to capture variations of the client brand name and variations of the competing brand names;
providing industry keyword groups to provide a sampling of discussions relating to the client brand and competing brands;
defining a plurality of marketing performance metrics;
extracting social media metrics from a plurality of social media sites using the brand keywords and industry keywords;
associating the social media metrics with the marketing performance metrics;
calculating benchmarks for each marketing performance metric for each brand, wherein a first marketing performance metric utilizing a first social media metric and a second marketing performance metric utilizing a second social media metric;
normalizing the marketing performance metrics so that the marketing performance metric benchmarks can relate to one another;
calculating an overall benchmark for each brand based on the marketing performance metric benchmarks; and
outputting at least one of the benchmarks.

### Claim 2 (depends on 1)

The method according to claim 1, further comprising weighing the social media metrics.

### Claim 3 (depends on 1)

The method according to claim 1, further comprising weighing the marketing performance metrics.

### Claim 4 (depends on 1)

The method according to claim 1, further comprising providing at least five competing bands.

### Claim 5 (depends on 1)

The method according to claim 1, further comprising defining keyword groups to capture daughter brands.

### Claim 6 (depends on 1)

The method according to claim 1, wherein the marketing performance metrics comprise
direct research defined as a degree to which a brand message can be broadcast to an immediately accessible social community;
potential reach, defined as the potential amplification of a message to an extended audience based on the cumulative followings of those both inside and outside the direct social networks;
engaged community, defined as a measure of how well the direct social community regular interacts with, shares and comments on your brand messages;
industry impact, defined as the overall share of conversation your brand holds against industry-related discussions occurring in the social media space;
brand sentiment, defined as the percentage of all discussions taking place related to your brand that carries a positive tone or sentiment;
social accessibility, defined as an assessment of the ease with which your consumers can reach your brand for service-related inquiries through social channels;
conversion potential, defined as a measure of the traffic that social media discussions are translating into traffic driving into your website;
social influence, defined as how much your social community engages with and drives their followings to engage with or re-broadcast your brand message; and
community development, defined as the consistency and rate of growth of your combined social network followings.

### Claim 7 (depends on 1)

The method according to claim 1, further comprising identifying how the specific brand can increase performance in a marketing performance metric.

### Claim 8 (depends on 1)

The method according to claim 1, wherein the benchmarks are outputted graphically.

### Claim 9 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that the entire competitor brands set is shown in a stacked bar comparison to show their overall score as well as how their benchmark scores fared.

### Claim 10 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that the brand that scored the highest overall for the desired time period has each of the nine marketing performance metrics analyzed to highlight the core metrics that led to their lead among all brands analyzed.

### Claim 11 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that the brand that the brand being analyzed also has a categorical analysis conducted to compare their results in regards to the core metrics to how the brand leader performed.

### Claim 12 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that each of the nine marketing performance metrics is presented individually in a simple bar chart for the competitor brand set and further insights on how the brand leader performed versus the client brand are displayed.

### Claim 13 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that a graph is presented to show how each brand has tracked over a desired time period and so that sustainable growth patterns can be disclosed.

### Claim 14 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that for each of the nine marketing performance metrics, the brand that led with the highest score is analyzed, the most significant factor or metric that played into the brand leader's score is defined, and the tactical process by which the score was achieved is described.

### Claim 15 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that the brands that scored the lowest in each of the nine marketing performance metrics are displayed and where the lowest brands missed opportunity.

### Claim 16 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that for each report from 1-3 case studies are presented that break down the most significant or outstanding trends for the time period being measured.

### Claim 17 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that each brand inside the competitor brand set is analyzed for their e weakness or the marketing performance metric in which they performed the least favorably, and marketing strategies and solutions are identified for the client to put into place to begin gaining traction against the competitors' brands.

### Claim 18 (depends on 1)

The method according to claim 1, further comprising outputting at least one benchmark so that instructions are provided for how the client's brand can improve their performance in each of the nine marketing performance metrics.

### Claim 19

A system for providing a brand benchmark of marketing performance for a client brand comprising:
a server being in communication with or comprising at least one non-volatile memory;
a user interface device in communication with the server; and
computer program code configured to store in the non-volatile memory a defined industry arena or vertical, a client brand within the defined industry arena or vertical, a group of competing brands within the defined industry arena or vertical, brand keyword groups for the client brand and each competing brand to capture variations of the client brand name and variations of the competing brand names, industry keyword groups to provide a sampling of discussions relating to the client brand and competing brands, and a plurality of marketing performance metrics, wherein the code being configured to extract social media metrics from a plurality of social media sites using the brand keywords and industry keywords, associate the social media metrics with the marketing performance metrics, calculate benchmarks for each marketing performance metric for each brand, wherein a first marketing performance metric utilizing a first social media metric and a second marketing performance metric utilizing a second social media metric, normalize the marketing performance metrics so that the marketing performance metric benchmarks can relate to one another, calculate an overall benchmark for each brand based on the marketing performance metric benchmarks, and output at least one of the benchmarks.

### Claim 20 (depends on 19)

The system according to claim 19, wherein the software is further configured to store and utilize weighing of the social media metrics.

### Claim 21 (depends on 19)

The system according to claim 19, wherein the software is further configured to store and utilize weighing the marketing performance metrics.

### Claim 22 (depends on 19)

The system according to claim 19, wherein the software is further configured to store at least five competing bands.

### Claim 23 (depends on 19)

The system according to claim 19, wherein the software is further configured to store and utilize keyword groups to capture daughter brands.

### Claim 24 (depends on 19)

The system according to claim 19, wherein the marketing performance metrics comprise
direct research defined as a degree to which a brand message can be broadcast to an immediately accessible social community;
potential reach, defined as the potential amplification of a message to an extended audience based on the cumulative followings of those both inside and outside the direct social networks;
engaged community, defined as a measure of how well the direct social community regular interacts with, shares and comments on your brand messages;
industry impact, defined as the overall share of conversation your brand holds against industry-related discussions occurring in the social media space;
brand sentiment, defined as the percentage of all discussions taking place related to your brand that carries a positive tone or sentiment;
social accessibility, defined as an assessment of the ease with which your consumers can reach your brand for service-related inquiries through social channels;
conversion potential, defined as a measure of the traffic that social media discussions are translating into traffic driving into your website;
social influence, defined as how much your social community engages with and drives their followings to engage with or re-broadcast your brand message; and
community development, defined as the consistency and rate of growth of your combined social network followings.

### Claim 25 (depends on 19)

The system according to claim 19, wherein the code is further configured to identify how the specific brand can increase performance in a marketing performance metric.

### Claim 26 (depends on 19)

The system according to claim 19, wherein the code is further configured to, output the benchmarks graphically.

### Claim 27 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that the entire competitor brands set is shown in a stacked bar comparison to show their overall score as well as how their benchmark scores fared.

### Claim 28 (depends on 19)

The system according to claim 19, wherein the code is further configured to output least one benchmark so that the brand that scored the highest overall for the desired time period has each of the nine marketing performance metrics analyzed to highlight the core metrics that led to their lead among all brands analyzed.

### Claim 29 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that the brand that the brand being analyzed also has a categorical analysis conducted to compare their results in regards to the core metrics to how the brand leader performed.

### Claim 30 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that each of the nine marketing performance metrics is presented individually in a simple bar chart for the competitor brand set and further insights on how the brand leader performed versus the client brand are displayed.

### Claim 31 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that a graph is presented to show how each brand has tracked over a desired time period and so that sustainable growth patterns can be disclosed.

### Claim 32 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that for each of the nine marketing performance metrics, the brand that led with the highest score is analyzed, the most significant factor or metric that played into the brand leader's score is defined, and the tactical process by which the score was achieved is described.

### Claim 33 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that the brands that scored the lowest in each of the nine marketing performance metrics are displayed and where the lowest brands missed opportunity.

### Claim 34 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that for each report from 1-3 case studies are presented that break down the most significant or outstanding trends for the time period being measured.

### Claim 35 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that each brand inside the competitor brand set is analyzed for their e weakness or the marketing performance metric in which they performed the least favorably, and marketing strategies and solutions are identified for the client to put into place to begin gaining traction against the competitors' brands.

### Claim 36 (depends on 19)

The system according to claim 19, wherein the code is further configured to output at least one benchmark so that instructions are provided for how the client's brand can improve their performance in each of the nine marketing performance metrics.

### Claim 37

A computer program product comprising a computer usable medium having a computer readable program code embodied therein, wherein the computer readable program code being constructed to be executed to implement a method of providing a brand benchmark of marketing performance for a client brand comprising:
defining an industry arena or vertical;
providing a client brand within the defined industry arena or vertical;
providing a group of competing brands within the defined industry arena or vertical;
providing brand keyword groups for the client brand and each competing brand to capture variations of the client brand name and variations of the competing brand names;
providing industry keyword groups to provide a sampling of discussions relating to the client brand and competing brands;
defining a plurality of marketing performance metrics;
extracting social media metrics from a plurality of social media sites using the brand keywords and industry keywords;
associating the social media metrics with the marketing performance metrics;
calculating benchmarks for each marketing performance metric for each brand, wherein a first marketing performance metric utilizing a first social media metric and a second marketing performance metric utilizing a second social media metric;
normalizing the marketing performance metrics so that the marketing performance metric benchmarks can relate to one another;
calculating an overall benchmark for each brand based on the marketing performance metric benchmarks; and
outputting at least one of the benchmarks.
