Research Article
Social Media Marketing Optimization Method Based on Deep Neural Network and Evolutionary Algorithm
Table 1
Influence index of enterprise marketing mix.
| | Level 1 indicators | Level 2 indicators | Level 3 indicators |
| | Financial interests (E1) | Revenue (E11) | Online sales (E111) | | Sales growth rate (E112) | | Market share of online products (E113) | | Cost (E12) | Ratio of sales expenses (E121) | | Proportion of platform investment in marketing expenses (E122) |
| | Consumer interests (E2) | Attention (E21) | Product fans (E211) | | Communication (E22) | Read (E221) | | Like (E222) | | Forward (E223) | | Search popularity (E23) | Activity visits (E231) | | Visitor growth rate (E232) | | Consultation (E233) | | Purchase (E24) | Online transaction volume (E241) | | Conversion rate (E242) | | Repurchase rate (E243) | | User perception (E25) | User satisfaction (E251) | | User loyalty (E252) |
| | Internal operations (E3) | Platform design publicity (E31) | Content universality (E311) | | Function comprehensiveness (E312) | | Operation management (E32) | Push frequency (E321) | | Total number of partners (E322) | | Product update frequency (E323) | | Troubleshooting speed (E324) | | Online and offline activities (E35) | | Number of backlinks (E326) |
| | Learning and growth (E4) | Learning ability (E41) | Marketing personnel training expenses (E411) | | Employee skill improvement (E412) | | Employee participation (E413) | | Innovation ability (E42) | Improve platform functions (E421) | | Security and mobility of online transactions (E422) | | Growth and progress (E43) | Impact of increased company (E431) | | Recognition on public platforms (E432) |
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