| 1 |
<?php |
| 2 |
/** |
| 3 |
* SEO Trend Analyzer Class |
| 4 |
* |
| 5 |
* Analyzes SEO performance trends from Google API data to identify patterns, |
| 6 |
* changes, and growth opportunities. Processes traffic, keyword, and content |
| 7 |
* performance data to generate intelligent trend insights. |
| 8 |
* |
| 9 |
* @package ThinkRank |
| 10 |
* @subpackage SEO |
| 11 |
* @since 1.0.0 |
| 12 |
*/ |
| 13 |
|
| 14 |
declare(strict_types=1); |
| 15 |
|
| 16 |
namespace ThinkRank\SEO; |
| 17 |
|
| 18 |
// Prevent direct access |
| 19 |
if (!defined('ABSPATH')) { |
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exit; |
| 21 |
} |
| 22 |
|
| 23 |
/** |
| 24 |
* SEO Trend Analyzer Class |
| 25 |
* |
| 26 |
* Single Responsibility: Analyze SEO performance trends and patterns |
| 27 |
* Following ThinkRank analyzer patterns from existing codebase |
| 28 |
* |
| 29 |
* @since 1.0.0 |
| 30 |
*/ |
| 31 |
class SEO_Trend_Analyzer { |
| 32 |
|
| 33 |
/** |
| 34 |
* Minimum data points required for trend analysis |
| 35 |
* |
| 36 |
* @var int |
| 37 |
*/ |
| 38 |
private const MIN_DATA_POINTS = 2; |
| 39 |
|
| 40 |
/** |
| 41 |
* Significant change threshold percentage |
| 42 |
* |
| 43 |
* @var float |
| 44 |
*/ |
| 45 |
private const SIGNIFICANT_CHANGE_THRESHOLD = 5.0; |
| 46 |
|
| 47 |
/** |
| 48 |
* Analyze traffic trends from Google Analytics data |
| 49 |
* |
| 50 |
* @param array $current_data Current period traffic data |
| 51 |
* @param array $historical_data Previous period traffic data |
| 52 |
* @return array Traffic trend analysis |
| 53 |
*/ |
| 54 |
public function analyze_traffic_trends(array $current_data, array $historical_data): array { |
| 55 |
$trends = [ |
| 56 |
'sessions' => $this->calculate_trend_metrics( |
| 57 |
$historical_data['sessions'] ?? 0, |
| 58 |
$current_data['sessions'] ?? 0, |
| 59 |
'Sessions' |
| 60 |
), |
| 61 |
'pageviews' => $this->calculate_trend_metrics( |
| 62 |
$historical_data['pageviews'] ?? 0, |
| 63 |
$current_data['pageviews'] ?? 0, |
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'Pageviews' |
| 65 |
), |
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'organic_traffic' => $this->analyze_organic_traffic_trend($current_data, $historical_data), |
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'bounce_rate' => $this->calculate_trend_metrics( |
| 68 |
$historical_data['bounce_rate'] ?? 0, |
| 69 |
$current_data['bounce_rate'] ?? 0, |
| 70 |
'Bounce Rate', |
| 71 |
true // Lower is better for bounce rate |
| 72 |
), |
| 73 |
'avg_session_duration' => $this->calculate_trend_metrics( |
| 74 |
$historical_data['avg_session_duration'] ?? 0, |
| 75 |
$current_data['avg_session_duration'] ?? 0, |
| 76 |
'Average Session Duration' |
| 77 |
), |
| 78 |
'summary' => $this->generate_traffic_trend_summary($current_data, $historical_data) |
| 79 |
]; |
| 80 |
|
| 81 |
return $trends; |
| 82 |
} |
| 83 |
|
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/** |
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* Analyze keyword performance trends from Search Console data |
| 86 |
* |
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* @param array $search_console_data Search Console performance data |
| 88 |
* @param string $date_range Date range for comparison |
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* @return array Keyword trend analysis |
| 90 |
*/ |
| 91 |
public function analyze_keyword_trends(array $search_console_data, string $date_range): array { |
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$trends = [ |
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'total_clicks' => $this->extract_total_metrics($search_console_data, 'clicks'), |
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'total_impressions' => $this->extract_total_metrics($search_console_data, 'impressions'), |
| 95 |
'average_ctr' => $this->calculate_average_ctr($search_console_data), |
| 96 |
'average_position' => $this->calculate_average_position($search_console_data), |
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'top_gaining_keywords' => $this->identify_gaining_keywords($search_console_data), |
| 98 |
'top_losing_keywords' => $this->identify_losing_keywords($search_console_data), |
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'new_keywords' => $this->identify_new_keywords($search_console_data), |
| 100 |
'summary' => $this->generate_keyword_trend_summary($search_console_data) |
| 101 |
]; |
| 102 |
|
| 103 |
return $trends; |
| 104 |
} |
| 105 |
|
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/** |
| 107 |
* Analyze content performance trends |
| 108 |
* |
| 109 |
* @param array $analytics_data Google Analytics data |
| 110 |
* @param array $search_data Search Console data |
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* @return array Content trend analysis |
| 112 |
*/ |
| 113 |
public function analyze_content_trends(array $analytics_data, array $search_data): array { |
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$trends = [ |
| 115 |
'top_gaining_pages' => $this->identify_gaining_pages($analytics_data, $search_data), |
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'top_losing_pages' => $this->identify_losing_pages($analytics_data, $search_data), |
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'mobile_vs_desktop' => $this->analyze_device_trends($search_data), |
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'content_type_performance' => $this->analyze_content_type_performance($analytics_data), |
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'summary' => $this->generate_content_trend_summary($analytics_data, $search_data) |
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]; |
| 121 |
|
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return $trends; |
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} |
| 124 |
|
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/** |
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* Calculate growth rates between current and previous periods |
| 127 |
* |
| 128 |
* @param array $current Current period data |
| 129 |
* @param array $previous Previous period data |
| 130 |
* @return array Growth rate calculations |
| 131 |
*/ |
| 132 |
public function calculate_growth_rates(array $current, array $previous): array { |
| 133 |
$growth_rates = []; |
| 134 |
|
| 135 |
foreach ($current as $metric => $current_value) { |
| 136 |
$previous_value = $previous[$metric] ?? 0; |
| 137 |
$growth_rates[$metric] = $this->calculate_percentage_change($previous_value, $current_value); |
| 138 |
} |
| 139 |
|
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return $growth_rates; |
| 141 |
} |
| 142 |
|
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/** |
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* Detect seasonal patterns in historical data |
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* |
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* @param array $historical_data Historical performance data |
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* @return array Seasonal pattern analysis |
| 148 |
*/ |
| 149 |
public function detect_seasonal_patterns(array $historical_data): array { |
| 150 |
if (count($historical_data) < 12) { |
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return [ |
| 152 |
'patterns_detected' => false, |
| 153 |
'message' => 'Insufficient data for seasonal analysis (minimum 12 data points required)' |
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]; |
| 155 |
} |
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|
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$patterns = [ |
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'patterns_detected' => true, |
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'monthly_trends' => $this->analyze_monthly_patterns($historical_data), |
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'weekly_trends' => $this->analyze_weekly_patterns($historical_data), |
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'recommendations' => $this->generate_seasonal_recommendations($historical_data) |
| 162 |
]; |
| 163 |
|
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return $patterns; |
| 165 |
} |
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|
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/** |
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* Calculate trend metrics for a specific metric |
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* |
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* @param float $previous Previous period value |
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* @param float $current Current period value |
| 172 |
* @param string $metric_name Human-readable metric name |
| 173 |
* @param bool $lower_is_better Whether lower values are better (e.g., bounce rate) |
| 174 |
* @return array Trend metrics |
| 175 |
*/ |
| 176 |
private function calculate_trend_metrics(float $previous, float $current, string $metric_name, bool $lower_is_better = false): array { |
| 177 |
$change = $current - $previous; |
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$percentage_change = $this->calculate_percentage_change($previous, $current); |
| 179 |
|
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$trend_direction = $this->determine_trend_direction($percentage_change, $lower_is_better); |
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$significance = $this->determine_significance($percentage_change); |
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|
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return [ |
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'previous' => $previous, |
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'current' => $current, |
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'change' => $change, |
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'percentage_change' => $percentage_change, |
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'trend_direction' => $trend_direction, |
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'significance' => $significance, |
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'metric_name' => $metric_name, |
| 191 |
'interpretation' => $this->generate_trend_interpretation($metric_name, $percentage_change, $trend_direction) |
| 192 |
]; |
| 193 |
} |
| 194 |
|
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/** |
| 196 |
* Calculate percentage change between two values |
| 197 |
* |
| 198 |
* @param float $previous Previous value |
| 199 |
* @param float $current Current value |
| 200 |
* @return float Percentage change |
| 201 |
*/ |
| 202 |
private function calculate_percentage_change(float $previous, float $current): float { |
| 203 |
if ((float) $previous === 0.0) { |
| 204 |
return $current > 0 ? 100.0 : 0.0; |
| 205 |
} |
| 206 |
|
| 207 |
return (($current - $previous) / $previous) * 100; |
| 208 |
} |
| 209 |
|
| 210 |
/** |
| 211 |
* Determine trend direction |
| 212 |
* |
| 213 |
* @param float $percentage_change Percentage change value |
| 214 |
* @param bool $lower_is_better Whether lower values are better |
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* @return string Trend direction (up, down, stable) |
| 216 |
*/ |
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private function determine_trend_direction(float $percentage_change, bool $lower_is_better = false): string { |
| 218 |
if (abs($percentage_change) < self::SIGNIFICANT_CHANGE_THRESHOLD) { |
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return 'stable'; |
| 220 |
} |
| 221 |
|
| 222 |
if ($lower_is_better) { |
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return $percentage_change > 0 ? 'down' : 'up'; |
| 224 |
} |
| 225 |
|
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return $percentage_change > 0 ? 'up' : 'down'; |
| 227 |
} |
| 228 |
|
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/** |
| 230 |
* Determine significance of change |
| 231 |
* |
| 232 |
* @param float $percentage_change Percentage change value |
| 233 |
* @return string Significance level (high, medium, low) |
| 234 |
*/ |
| 235 |
private function determine_significance(float $percentage_change): string { |
| 236 |
$abs_change = abs($percentage_change); |
| 237 |
|
| 238 |
if ($abs_change >= 20) { |
| 239 |
return 'high'; |
| 240 |
} elseif ($abs_change >= 10) { |
| 241 |
return 'medium'; |
| 242 |
} else { |
| 243 |
return 'low'; |
| 244 |
} |
| 245 |
} |
| 246 |
|
| 247 |
/** |
| 248 |
* Generate trend interpretation text |
| 249 |
* |
| 250 |
* @param string $metric_name Metric name |
| 251 |
* @param float $percentage_change Percentage change |
| 252 |
* @param string $trend_direction Trend direction |
| 253 |
* @return string Human-readable interpretation |
| 254 |
*/ |
| 255 |
private function generate_trend_interpretation(string $metric_name, float $percentage_change, string $trend_direction): string { |
| 256 |
$abs_change = abs($percentage_change); |
| 257 |
|
| 258 |
switch ($trend_direction) { |
| 259 |
case 'up': |
| 260 |
return sprintf('%s increased by %.1f%%', $metric_name, $abs_change); |
| 261 |
case 'down': |
| 262 |
return sprintf('%s decreased by %.1f%%', $metric_name, $abs_change); |
| 263 |
case 'stable': |
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return sprintf('%s remained stable (%.1f%% change)', $metric_name, $percentage_change); |
| 265 |
default: |
| 266 |
return sprintf('%s changed by %.1f%%', $metric_name, $percentage_change); |
| 267 |
} |
| 268 |
} |
| 269 |
|
| 270 |
/** |
| 271 |
* Analyze organic traffic trend specifically |
| 272 |
* |
| 273 |
* @param array $current_data Current period data |
| 274 |
* @param array $historical_data Historical period data |
| 275 |
* @return array Organic traffic trend analysis |
| 276 |
*/ |
| 277 |
private function analyze_organic_traffic_trend(array $current_data, array $historical_data): array { |
| 278 |
$current_organic = $current_data['organic_traffic']['organic_traffic'] ?? []; |
| 279 |
$historical_organic = $historical_data['organic_traffic']['organic_traffic'] ?? []; |
| 280 |
|
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return $this->calculate_trend_metrics( |
| 282 |
$historical_organic['sessions'] ?? 0, |
| 283 |
$current_organic['sessions'] ?? 0, |
| 284 |
'Organic Traffic Sessions' |
| 285 |
); |
| 286 |
} |
| 287 |
|
| 288 |
/** |
| 289 |
* Extract total metrics from Search Console data |
| 290 |
* |
| 291 |
* @param array $search_console_data Search Console data |
| 292 |
* @param string $metric Metric to extract (clicks, impressions) |
| 293 |
* @return array Total metrics with trend data |
| 294 |
*/ |
| 295 |
private function extract_total_metrics(array $search_console_data, string $metric): array { |
| 296 |
$total = 0; |
| 297 |
$rows = $search_console_data['rows'] ?? []; |
| 298 |
|
| 299 |
foreach ($rows as $row) { |
| 300 |
$total += $row[$metric] ?? 0; |
| 301 |
} |
| 302 |
|
| 303 |
return [ |
| 304 |
'total' => $total, |
| 305 |
'metric' => $metric, |
| 306 |
'data_points' => count($rows) |
| 307 |
]; |
| 308 |
} |
| 309 |
|
| 310 |
/** |
| 311 |
* Calculate average CTR from Search Console data |
| 312 |
* |
| 313 |
* @param array $search_console_data Search Console data |
| 314 |
* @return array Average CTR analysis |
| 315 |
*/ |
| 316 |
private function calculate_average_ctr(array $search_console_data): array { |
| 317 |
$rows = $search_console_data['rows'] ?? []; |
| 318 |
$total_clicks = 0; |
| 319 |
$total_impressions = 0; |
| 320 |
|
| 321 |
foreach ($rows as $row) { |
| 322 |
$total_clicks += $row['clicks'] ?? 0; |
| 323 |
$total_impressions += $row['impressions'] ?? 0; |
| 324 |
} |
| 325 |
|
| 326 |
$average_ctr = $total_impressions > 0 ? ($total_clicks / $total_impressions) * 100 : 0; |
| 327 |
|
| 328 |
return [ |
| 329 |
'average_ctr' => round($average_ctr, 2), |
| 330 |
'total_clicks' => $total_clicks, |
| 331 |
'total_impressions' => $total_impressions |
| 332 |
]; |
| 333 |
} |
| 334 |
|
| 335 |
/** |
| 336 |
* Calculate average position from Search Console data |
| 337 |
* |
| 338 |
* @param array $search_console_data Search Console data |
| 339 |
* @return array Average position analysis |
| 340 |
*/ |
| 341 |
private function calculate_average_position(array $search_console_data): array { |
| 342 |
$rows = $search_console_data['rows'] ?? []; |
| 343 |
$total_position = 0; |
| 344 |
$count = 0; |
| 345 |
|
| 346 |
foreach ($rows as $row) { |
| 347 |
if (isset($row['position']) && $row['position'] > 0) { |
| 348 |
$total_position += $row['position']; |
| 349 |
$count++; |
| 350 |
} |
| 351 |
} |
| 352 |
|
| 353 |
$average_position = $count > 0 ? $total_position / $count : 0; |
| 354 |
|
| 355 |
return [ |
| 356 |
'average_position' => round($average_position, 1), |
| 357 |
'keywords_tracked' => $count |
| 358 |
]; |
| 359 |
} |
| 360 |
|
| 361 |
/** |
| 362 |
* Identify gaining keywords (improved performance) |
| 363 |
* |
| 364 |
* @param array $search_console_data Search Console data |
| 365 |
* @return array Top gaining keywords |
| 366 |
*/ |
| 367 |
private function identify_gaining_keywords(array $search_console_data): array { |
| 368 |
$rows = $search_console_data['rows'] ?? []; |
| 369 |
$gaining_keywords = []; |
| 370 |
|
| 371 |
foreach ($rows as $row) { |
| 372 |
$clicks = $row['clicks'] ?? 0; |
| 373 |
$impressions = $row['impressions'] ?? 0; |
| 374 |
$position = $row['position'] ?? 0; |
| 375 |
|
| 376 |
// Consider keywords with good performance metrics as "gaining" |
| 377 |
if ($clicks > 10 && $position <= 10) { |
| 378 |
$gaining_keywords[] = [ |
| 379 |
'keyword' => $row['keys'][0] ?? '', |
| 380 |
'clicks' => $clicks, |
| 381 |
'impressions' => $impressions, |
| 382 |
'position' => round($position, 1), |
| 383 |
'ctr' => round(($clicks / max($impressions, 1)) * 100, 2) |
| 384 |
]; |
| 385 |
} |
| 386 |
} |
| 387 |
|
| 388 |
// Sort by clicks descending |
| 389 |
usort($gaining_keywords, function($a, $b) { |
| 390 |
return $b['clicks'] <=> $a['clicks']; |
| 391 |
}); |
| 392 |
|
| 393 |
return array_slice($gaining_keywords, 0, 10); |
| 394 |
} |
| 395 |
|
| 396 |
/** |
| 397 |
* Identify losing keywords (declined performance) |
| 398 |
* |
| 399 |
* @param array $search_console_data Search Console data |
| 400 |
* @return array Top losing keywords |
| 401 |
*/ |
| 402 |
private function identify_losing_keywords(array $search_console_data): array { |
| 403 |
$rows = $search_console_data['rows'] ?? []; |
| 404 |
$losing_keywords = []; |
| 405 |
|
| 406 |
foreach ($rows as $row) { |
| 407 |
$clicks = $row['clicks'] ?? 0; |
| 408 |
$impressions = $row['impressions'] ?? 0; |
| 409 |
$position = $row['position'] ?? 0; |
| 410 |
|
| 411 |
// Consider keywords with poor performance as "losing" |
| 412 |
if ($impressions > 100 && $position > 20) { |
| 413 |
$losing_keywords[] = [ |
| 414 |
'keyword' => $row['keys'][0] ?? '', |
| 415 |
'clicks' => $clicks, |
| 416 |
'impressions' => $impressions, |
| 417 |
'position' => round($position, 1), |
| 418 |
'ctr' => round(($clicks / max($impressions, 1)) * 100, 2) |
| 419 |
]; |
| 420 |
} |
| 421 |
} |
| 422 |
|
| 423 |
// Sort by position descending (worst positions first) |
| 424 |
usort($losing_keywords, function($a, $b) { |
| 425 |
return $b['position'] <=> $a['position']; |
| 426 |
}); |
| 427 |
|
| 428 |
return array_slice($losing_keywords, 0, 10); |
| 429 |
} |
| 430 |
|
| 431 |
/** |
| 432 |
* Identify new keywords appearing in results |
| 433 |
* |
| 434 |
* @param array $search_console_data Search Console data |
| 435 |
* @return array New keywords analysis |
| 436 |
*/ |
| 437 |
private function identify_new_keywords(array $search_console_data): array { |
| 438 |
$rows = $search_console_data['rows'] ?? []; |
| 439 |
$new_keywords = []; |
| 440 |
|
| 441 |
foreach ($rows as $row) { |
| 442 |
$clicks = $row['clicks'] ?? 0; |
| 443 |
$impressions = $row['impressions'] ?? 0; |
| 444 |
|
| 445 |
// Consider keywords with recent activity as potentially "new" |
| 446 |
if ($clicks > 0 && $impressions > 50) { |
| 447 |
$new_keywords[] = [ |
| 448 |
'keyword' => $row['keys'][0] ?? '', |
| 449 |
'clicks' => $clicks, |
| 450 |
'impressions' => $impressions, |
| 451 |
'position' => round($row['position'] ?? 0, 1) |
| 452 |
]; |
| 453 |
} |
| 454 |
} |
| 455 |
|
| 456 |
// Sort by impressions descending |
| 457 |
usort($new_keywords, function($a, $b) { |
| 458 |
return $b['impressions'] <=> $a['impressions']; |
| 459 |
}); |
| 460 |
|
| 461 |
return array_slice($new_keywords, 0, 5); |
| 462 |
} |
| 463 |
|
| 464 |
/** |
| 465 |
* Generate traffic trend summary |
| 466 |
* |
| 467 |
* @param array $current_data Current period data |
| 468 |
* @param array $historical_data Historical period data |
| 469 |
* @return string Traffic trend summary |
| 470 |
*/ |
| 471 |
private function generate_traffic_trend_summary(array $current_data, array $historical_data): string { |
| 472 |
$current_sessions = $current_data['sessions'] ?? 0; |
| 473 |
$historical_sessions = $historical_data['sessions'] ?? 0; |
| 474 |
$change = $this->calculate_percentage_change($historical_sessions, $current_sessions); |
| 475 |
|
| 476 |
if (abs($change) < self::SIGNIFICANT_CHANGE_THRESHOLD) { |
| 477 |
return 'Traffic remained stable with minimal changes across key metrics.'; |
| 478 |
} |
| 479 |
|
| 480 |
$direction = $change > 0 ? 'increased' : 'decreased'; |
| 481 |
return sprintf('Traffic %s by %.1f%% compared to the previous period.', $direction, abs($change)); |
| 482 |
} |
| 483 |
|
| 484 |
/** |
| 485 |
* Generate keyword trend summary |
| 486 |
* |
| 487 |
* @param array $search_console_data Search Console data |
| 488 |
* @return string Keyword trend summary |
| 489 |
*/ |
| 490 |
private function generate_keyword_trend_summary(array $search_console_data): string { |
| 491 |
$total_clicks = $this->extract_total_metrics($search_console_data, 'clicks')['total']; |
| 492 |
$average_position = $this->calculate_average_position($search_console_data)['average_position']; |
| 493 |
|
| 494 |
if ($total_clicks > 1000) { |
| 495 |
$performance = 'strong'; |
| 496 |
} elseif ($total_clicks > 100) { |
| 497 |
$performance = 'moderate'; |
| 498 |
} else { |
| 499 |
$performance = 'limited'; |
| 500 |
} |
| 501 |
|
| 502 |
return sprintf('Keyword performance shows %s activity with %d total clicks and average position of %.1f.', |
| 503 |
$performance, $total_clicks, $average_position); |
| 504 |
} |
| 505 |
|
| 506 |
/** |
| 507 |
* Generate content trend summary |
| 508 |
* |
| 509 |
* @param array $analytics_data Analytics data |
| 510 |
* @param array $search_data Search Console data |
| 511 |
* @return string Content trend summary |
| 512 |
*/ |
| 513 |
private function generate_content_trend_summary(array $analytics_data, array $search_data): string { |
| 514 |
$top_pages = $analytics_data['top_pages']['pages'] ?? []; |
| 515 |
$page_count = count($top_pages); |
| 516 |
|
| 517 |
if ($page_count > 10) { |
| 518 |
return sprintf('Content performance is diverse with %d pages driving significant traffic.', $page_count); |
| 519 |
} elseif ($page_count > 5) { |
| 520 |
return sprintf('Content performance is concentrated among %d key pages.', $page_count); |
| 521 |
} else { |
| 522 |
return 'Content performance is limited to a few key pages, indicating opportunity for expansion.'; |
| 523 |
} |
| 524 |
} |
| 525 |
|
| 526 |
/** |
| 527 |
* Identify gaining pages |
| 528 |
* |
| 529 |
* @param array $analytics_data Analytics data |
| 530 |
* @param array $search_data Search Console data |
| 531 |
* @return array Gaining pages analysis |
| 532 |
*/ |
| 533 |
private function identify_gaining_pages(array $analytics_data, array $search_data): array { |
| 534 |
$pages = $analytics_data['top_pages']['pages'] ?? []; |
| 535 |
$gaining_pages = []; |
| 536 |
|
| 537 |
foreach ($pages as $page) { |
| 538 |
if (($page['pageviews'] ?? 0) > 100) { |
| 539 |
$gaining_pages[] = [ |
| 540 |
'path' => $page['path'] ?? '', |
| 541 |
'title' => $page['title'] ?? '', |
| 542 |
'pageviews' => $page['pageviews'] ?? 0, |
| 543 |
'sessions' => $page['sessions'] ?? 0 |
| 544 |
]; |
| 545 |
} |
| 546 |
} |
| 547 |
|
| 548 |
return array_slice($gaining_pages, 0, 5); |
| 549 |
} |
| 550 |
|
| 551 |
/** |
| 552 |
* Identify losing pages |
| 553 |
* |
| 554 |
* @param array $analytics_data Analytics data |
| 555 |
* @param array $search_data Search Console data |
| 556 |
* @return array Losing pages analysis |
| 557 |
*/ |
| 558 |
private function identify_losing_pages(array $analytics_data, array $search_data): array { |
| 559 |
// For now, return empty array as we need historical comparison data |
| 560 |
// This would be enhanced with actual historical page performance data |
| 561 |
return []; |
| 562 |
} |
| 563 |
|
| 564 |
/** |
| 565 |
* Analyze device performance trends |
| 566 |
* |
| 567 |
* @param array $search_data Search Console data |
| 568 |
* @return array Device trends analysis |
| 569 |
*/ |
| 570 |
private function analyze_device_trends(array $search_data): array { |
| 571 |
$device_insights = $search_data['device_insights'] ?? []; |
| 572 |
$devices = $device_insights['devices'] ?? []; |
| 573 |
|
| 574 |
$mobile_performance = $devices['mobile'] ?? []; |
| 575 |
$desktop_performance = $devices['desktop'] ?? []; |
| 576 |
|
| 577 |
return [ |
| 578 |
'mobile' => [ |
| 579 |
'clicks' => $mobile_performance['clicks'] ?? 0, |
| 580 |
'impressions' => $mobile_performance['impressions'] ?? 0, |
| 581 |
'ctr' => $mobile_performance['ctr'] ?? 0 |
| 582 |
], |
| 583 |
'desktop' => [ |
| 584 |
'clicks' => $desktop_performance['clicks'] ?? 0, |
| 585 |
'impressions' => $desktop_performance['impressions'] ?? 0, |
| 586 |
'ctr' => $desktop_performance['ctr'] ?? 0 |
| 587 |
], |
| 588 |
'mobile_dominance' => ($mobile_performance['clicks'] ?? 0) > ($desktop_performance['clicks'] ?? 0) |
| 589 |
]; |
| 590 |
} |
| 591 |
|
| 592 |
/** |
| 593 |
* Analyze content type performance |
| 594 |
* |
| 595 |
* @param array $analytics_data Analytics data |
| 596 |
* @return array Content type performance analysis |
| 597 |
*/ |
| 598 |
private function analyze_content_type_performance(array $analytics_data): array { |
| 599 |
$pages = $analytics_data['top_pages']['pages'] ?? []; |
| 600 |
$content_types = [ |
| 601 |
'blog' => 0, |
| 602 |
'product' => 0, |
| 603 |
'page' => 0, |
| 604 |
'other' => 0 |
| 605 |
]; |
| 606 |
|
| 607 |
foreach ($pages as $page) { |
| 608 |
$path = $page['path'] ?? ''; |
| 609 |
$pageviews = $page['pageviews'] ?? 0; |
| 610 |
|
| 611 |
if (strpos($path, '/blog/') !== false || strpos($path, '/post/') !== false) { |
| 612 |
$content_types['blog'] += $pageviews; |
| 613 |
} elseif (strpos($path, '/product/') !== false || strpos($path, '/shop/') !== false) { |
| 614 |
$content_types['product'] += $pageviews; |
| 615 |
} elseif (strpos($path, '/page/') !== false) { |
| 616 |
$content_types['page'] += $pageviews; |
| 617 |
} else { |
| 618 |
$content_types['other'] += $pageviews; |
| 619 |
} |
| 620 |
} |
| 621 |
|
| 622 |
return $content_types; |
| 623 |
} |
| 624 |
|
| 625 |
/** |
| 626 |
* Analyze monthly patterns in historical data |
| 627 |
* |
| 628 |
* @param array $historical_data Historical data |
| 629 |
* @return array Monthly pattern analysis |
| 630 |
*/ |
| 631 |
private function analyze_monthly_patterns(array $historical_data): array { |
| 632 |
// Placeholder for monthly pattern analysis |
| 633 |
// Would analyze seasonal trends by month |
| 634 |
return [ |
| 635 |
'peak_months' => [], |
| 636 |
'low_months' => [], |
| 637 |
'seasonal_factor' => 1.0 |
| 638 |
]; |
| 639 |
} |
| 640 |
|
| 641 |
/** |
| 642 |
* Analyze weekly patterns in historical data |
| 643 |
* |
| 644 |
* @param array $historical_data Historical data |
| 645 |
* @return array Weekly pattern analysis |
| 646 |
*/ |
| 647 |
private function analyze_weekly_patterns(array $historical_data): array { |
| 648 |
// Placeholder for weekly pattern analysis |
| 649 |
// Would analyze day-of-week performance patterns |
| 650 |
return [ |
| 651 |
'peak_days' => [], |
| 652 |
'low_days' => [], |
| 653 |
'weekend_factor' => 1.0 |
| 654 |
]; |
| 655 |
} |
| 656 |
|
| 657 |
/** |
| 658 |
* Generate seasonal recommendations |
| 659 |
* |
| 660 |
* @param array $historical_data Historical data |
| 661 |
* @return array Seasonal recommendations |
| 662 |
*/ |
| 663 |
private function generate_seasonal_recommendations(array $historical_data): array { |
| 664 |
return [ |
| 665 |
'content_timing' => 'Optimize content publishing for peak performance periods', |
| 666 |
'seasonal_content' => 'Prepare seasonal content in advance of peak periods', |
| 667 |
'resource_allocation' => 'Allocate marketing resources during high-performance periods' |
| 668 |
]; |
| 669 |
} |
| 670 |
} |
| 671 |
|
