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1 | 1 | import { Analytics } from "../../types/tables"; |
2 | | -import type { SimpleQueryConfig } from "../types"; |
| 2 | +import type { Filter, SimpleQueryConfig, TimeUnit } from "../types"; |
3 | 3 |
|
4 | 4 | export const EngagementBuilders: Record<string, SimpleQueryConfig> = { |
5 | 5 | scroll_depth_summary: { |
@@ -80,12 +80,12 @@ export const EngagementBuilders: Record<string, SimpleQueryConfig> = { |
80 | 80 | table: Analytics.events, |
81 | 81 | fields: [ |
82 | 82 | "CASE " + |
83 | | - 'WHEN scroll_depth < 0.25 THEN "0-25%" ' + |
84 | | - 'WHEN scroll_depth < 0.5 THEN "25-50%" ' + |
85 | | - 'WHEN scroll_depth < 0.75 THEN "50-75%" ' + |
86 | | - 'WHEN scroll_depth < 1.0 THEN "75-100%" ' + |
87 | | - 'ELSE "100%" ' + |
88 | | - "END as depth_range", |
| 83 | + 'WHEN scroll_depth < 0.25 THEN "0-25%" ' + |
| 84 | + 'WHEN scroll_depth < 0.5 THEN "25-50%" ' + |
| 85 | + 'WHEN scroll_depth < 0.75 THEN "50-75%" ' + |
| 86 | + 'WHEN scroll_depth < 1.0 THEN "75-100%" ' + |
| 87 | + 'ELSE "100%" ' + |
| 88 | + "END as depth_range", |
89 | 89 | "COUNT(DISTINCT anonymous_id) as visitors", |
90 | 90 | "COUNT(DISTINCT session_id) as sessions", |
91 | 91 | "ROUND((COUNT(DISTINCT session_id) / SUM(COUNT(DISTINCT session_id)) OVER()) * 100, 2) as percentage", |
@@ -203,4 +203,339 @@ export const EngagementBuilders: Record<string, SimpleQueryConfig> = { |
203 | 203 | timeField: "time", |
204 | 204 | customizable: true, |
205 | 205 | }, |
| 206 | + |
| 207 | + retention_cohorts: { |
| 208 | + meta: { |
| 209 | + title: "Retention Cohorts", |
| 210 | + description: |
| 211 | + "User retention analysis by cohort, showing what percentage of users return over time based on their first visit date.", |
| 212 | + category: "Engagement", |
| 213 | + tags: ["retention", "cohorts", "user behavior"], |
| 214 | + output_fields: [ |
| 215 | + { |
| 216 | + name: "cohort", |
| 217 | + type: "string", |
| 218 | + label: "Cohort", |
| 219 | + description: "First visit date cohort", |
| 220 | + }, |
| 221 | + { |
| 222 | + name: "users", |
| 223 | + type: "number", |
| 224 | + label: "Users", |
| 225 | + description: "Number of users in this cohort", |
| 226 | + }, |
| 227 | + { |
| 228 | + name: "week_0_retention", |
| 229 | + type: "number", |
| 230 | + label: "Week 0 Retention", |
| 231 | + description: "Percentage of users in the initial week (always 100%)", |
| 232 | + unit: "%", |
| 233 | + }, |
| 234 | + { |
| 235 | + name: "week_1_retention", |
| 236 | + type: "number", |
| 237 | + label: "Week 1 Retention", |
| 238 | + description: "Percentage of users who returned in week 1", |
| 239 | + unit: "%", |
| 240 | + }, |
| 241 | + { |
| 242 | + name: "week_2_retention", |
| 243 | + type: "number", |
| 244 | + label: "Week 2 Retention", |
| 245 | + description: "Percentage of users who returned in week 2", |
| 246 | + unit: "%", |
| 247 | + }, |
| 248 | + { |
| 249 | + name: "week_3_retention", |
| 250 | + type: "number", |
| 251 | + label: "Week 3 Retention", |
| 252 | + description: "Percentage of users who returned in week 3", |
| 253 | + unit: "%", |
| 254 | + }, |
| 255 | + { |
| 256 | + name: "week_4_retention", |
| 257 | + type: "number", |
| 258 | + label: "Week 4 Retention", |
| 259 | + description: "Percentage of users who returned in week 4", |
| 260 | + unit: "%", |
| 261 | + }, |
| 262 | + { |
| 263 | + name: "week_5_retention", |
| 264 | + type: "number", |
| 265 | + label: "Week 5 Retention", |
| 266 | + description: "Percentage of users who returned in week 5", |
| 267 | + unit: "%", |
| 268 | + }, |
| 269 | + ], |
| 270 | + default_visualization: "table", |
| 271 | + supports_granularity: ["day", "week", "month"], |
| 272 | + version: "1.0", |
| 273 | + }, |
| 274 | + customSql: ( |
| 275 | + websiteId: string, |
| 276 | + startDate: string, |
| 277 | + endDate: string, |
| 278 | + _filters?: Filter[], |
| 279 | + _granularity?: TimeUnit, |
| 280 | + _limit?: number, |
| 281 | + _offset?: number, |
| 282 | + _timezone?: string, |
| 283 | + filterConditions?: string[], |
| 284 | + filterParams?: Record<string, Filter["value"]> |
| 285 | + ) => { |
| 286 | + const combinedWhereClause = filterConditions?.length |
| 287 | + ? `AND ${filterConditions.join(" AND ")}` |
| 288 | + : ""; |
| 289 | + |
| 290 | + return { |
| 291 | + sql: ` |
| 292 | + WITH first_visits AS ( |
| 293 | + SELECT |
| 294 | + anonymous_id, |
| 295 | + toStartOfWeek(toDate(MIN(time))) as first_visit_week |
| 296 | + FROM analytics.events |
| 297 | + WHERE |
| 298 | + client_id = {websiteId:String} |
| 299 | + AND time >= parseDateTimeBestEffort({startDate:String}) |
| 300 | + AND time <= parseDateTimeBestEffort({endDate:String}) |
| 301 | + AND anonymous_id != '' |
| 302 | + AND event_name = 'screen_view' |
| 303 | + ${combinedWhereClause} |
| 304 | + GROUP BY anonymous_id |
| 305 | + ), |
| 306 | + cohorts AS ( |
| 307 | + SELECT |
| 308 | + fv.first_visit_week as cohort_week, |
| 309 | + count(DISTINCT fv.anonymous_id) as total_users |
| 310 | + FROM first_visits fv |
| 311 | + GROUP BY fv.first_visit_week |
| 312 | + ), |
| 313 | + user_visits AS ( |
| 314 | + SELECT |
| 315 | + e.anonymous_id, |
| 316 | + toDate(e.time) as visit_date |
| 317 | + FROM analytics.events e |
| 318 | + WHERE |
| 319 | + e.client_id = {websiteId:String} |
| 320 | + AND e.time >= parseDateTimeBestEffort({startDate:String}) |
| 321 | + AND e.time <= parseDateTimeBestEffort({endDate:String}) |
| 322 | + AND e.anonymous_id != '' |
| 323 | + AND e.event_name = 'screen_view' |
| 324 | + ${combinedWhereClause} |
| 325 | + GROUP BY e.anonymous_id, toDate(e.time) |
| 326 | + ), |
| 327 | + retention_calc AS ( |
| 328 | + SELECT |
| 329 | + fv.first_visit_week as cohort, |
| 330 | + count(DISTINCT CASE |
| 331 | + WHEN uv.visit_date >= fv.first_visit_week |
| 332 | + AND uv.visit_date < fv.first_visit_week + INTERVAL 7 DAY |
| 333 | + THEN fv.anonymous_id |
| 334 | + ELSE NULL |
| 335 | + END) as week_0_returned, |
| 336 | + count(DISTINCT CASE |
| 337 | + WHEN uv.visit_date >= fv.first_visit_week + INTERVAL 7 DAY |
| 338 | + AND uv.visit_date < fv.first_visit_week + INTERVAL 14 DAY |
| 339 | + THEN fv.anonymous_id |
| 340 | + ELSE NULL |
| 341 | + END) as week_1_returned, |
| 342 | + count(DISTINCT CASE |
| 343 | + WHEN uv.visit_date >= fv.first_visit_week + INTERVAL 14 DAY |
| 344 | + AND uv.visit_date < fv.first_visit_week + INTERVAL 21 DAY |
| 345 | + THEN fv.anonymous_id |
| 346 | + ELSE NULL |
| 347 | + END) as week_2_returned, |
| 348 | + count(DISTINCT CASE |
| 349 | + WHEN uv.visit_date >= fv.first_visit_week + INTERVAL 21 DAY |
| 350 | + AND uv.visit_date < fv.first_visit_week + INTERVAL 28 DAY |
| 351 | + THEN fv.anonymous_id |
| 352 | + ELSE NULL |
| 353 | + END) as week_3_returned, |
| 354 | + count(DISTINCT CASE |
| 355 | + WHEN uv.visit_date >= fv.first_visit_week + INTERVAL 28 DAY |
| 356 | + AND uv.visit_date < fv.first_visit_week + INTERVAL 35 DAY |
| 357 | + THEN fv.anonymous_id |
| 358 | + ELSE NULL |
| 359 | + END) as week_4_returned, |
| 360 | + count(DISTINCT CASE |
| 361 | + WHEN uv.visit_date >= fv.first_visit_week + INTERVAL 35 DAY |
| 362 | + AND uv.visit_date < fv.first_visit_week + INTERVAL 42 DAY |
| 363 | + THEN fv.anonymous_id |
| 364 | + ELSE NULL |
| 365 | + END) as week_5_returned, |
| 366 | + c.total_users |
| 367 | + FROM first_visits fv |
| 368 | + LEFT JOIN user_visits uv ON fv.anonymous_id = uv.anonymous_id |
| 369 | + INNER JOIN cohorts c ON fv.first_visit_week = c.cohort_week |
| 370 | + GROUP BY fv.first_visit_week, c.total_users |
| 371 | + ) |
| 372 | + SELECT |
| 373 | + formatDateTime(cohort, '%Y-%m-%d') as cohort, |
| 374 | + total_users as users, |
| 375 | + 100.0 as week_0_retention, |
| 376 | + ROUND(CASE |
| 377 | + WHEN total_users > 0 |
| 378 | + THEN (week_1_returned / total_users) * 100 |
| 379 | + ELSE 0 |
| 380 | + END, 2) as week_1_retention, |
| 381 | + ROUND(CASE |
| 382 | + WHEN total_users > 0 |
| 383 | + THEN (week_2_returned / total_users) * 100 |
| 384 | + ELSE 0 |
| 385 | + END, 2) as week_2_retention, |
| 386 | + ROUND(CASE |
| 387 | + WHEN total_users > 0 |
| 388 | + THEN (week_3_returned / total_users) * 100 |
| 389 | + ELSE 0 |
| 390 | + END, 2) as week_3_retention, |
| 391 | + ROUND(CASE |
| 392 | + WHEN total_users > 0 |
| 393 | + THEN (week_4_returned / total_users) * 100 |
| 394 | + ELSE 0 |
| 395 | + END, 2) as week_4_retention, |
| 396 | + ROUND(CASE |
| 397 | + WHEN total_users > 0 |
| 398 | + THEN (week_5_returned / total_users) * 100 |
| 399 | + ELSE 0 |
| 400 | + END, 2) as week_5_retention |
| 401 | + FROM retention_calc |
| 402 | + GROUP BY cohort, total_users, week_1_returned, week_2_returned, week_3_returned, week_4_returned, week_5_returned |
| 403 | + ORDER BY cohort DESC |
| 404 | + `, |
| 405 | + params: { |
| 406 | + websiteId, |
| 407 | + startDate, |
| 408 | + endDate: `${endDate} 23:59:59`, |
| 409 | + ...filterParams, |
| 410 | + }, |
| 411 | + }; |
| 412 | + }, |
| 413 | + plugins: { |
| 414 | + normalizeGeo: true, |
| 415 | + }, |
| 416 | + }, |
| 417 | + |
| 418 | + retention_rate: { |
| 419 | + meta: { |
| 420 | + title: "Retention Rate", |
| 421 | + description: |
| 422 | + "Overall user retention metrics showing return visitor rates over time.", |
| 423 | + category: "Engagement", |
| 424 | + tags: ["retention", "user behavior", "engagement"], |
| 425 | + output_fields: [ |
| 426 | + { |
| 427 | + name: "date", |
| 428 | + type: "string", |
| 429 | + label: "Date", |
| 430 | + description: "Date of the retention calculation", |
| 431 | + }, |
| 432 | + { |
| 433 | + name: "new_users", |
| 434 | + type: "number", |
| 435 | + label: "New Users", |
| 436 | + description: "Number of new users (first visit)", |
| 437 | + }, |
| 438 | + { |
| 439 | + name: "returning_users", |
| 440 | + type: "number", |
| 441 | + label: "Returning Users", |
| 442 | + description: "Number of returning users", |
| 443 | + }, |
| 444 | + { |
| 445 | + name: "retention_rate", |
| 446 | + type: "number", |
| 447 | + label: "Retention Rate", |
| 448 | + description: "Percentage of returning users", |
| 449 | + unit: "%", |
| 450 | + }, |
| 451 | + ], |
| 452 | + default_visualization: "line", |
| 453 | + supports_granularity: ["day", "week", "month"], |
| 454 | + version: "1.0", |
| 455 | + }, |
| 456 | + customSql: ( |
| 457 | + websiteId: string, |
| 458 | + startDate: string, |
| 459 | + endDate: string, |
| 460 | + _filters?: Filter[], |
| 461 | + _granularity?: TimeUnit, |
| 462 | + _limit?: number, |
| 463 | + _offset?: number, |
| 464 | + _timezone?: string, |
| 465 | + filterConditions?: string[], |
| 466 | + filterParams?: Record<string, Filter["value"]> |
| 467 | + ) => { |
| 468 | + const combinedWhereClause = filterConditions?.length |
| 469 | + ? `AND ${filterConditions.join(" AND ")}` |
| 470 | + : ""; |
| 471 | + |
| 472 | + return { |
| 473 | + sql: ` |
| 474 | + WITH all_first_visits AS ( |
| 475 | + SELECT |
| 476 | + anonymous_id, |
| 477 | + toDate(MIN(time)) as first_visit_date |
| 478 | + FROM analytics.events |
| 479 | + WHERE |
| 480 | + client_id = {websiteId:String} |
| 481 | + AND anonymous_id != '' |
| 482 | + AND event_name = 'screen_view' |
| 483 | + GROUP BY anonymous_id |
| 484 | + ), |
| 485 | + daily_visits AS ( |
| 486 | + SELECT |
| 487 | + e.anonymous_id, |
| 488 | + toDate(e.time) as visit_date |
| 489 | + FROM analytics.events e |
| 490 | + WHERE |
| 491 | + e.client_id = {websiteId:String} |
| 492 | + AND e.time >= parseDateTimeBestEffort({startDate:String}) |
| 493 | + AND e.time <= parseDateTimeBestEffort({endDate:String}) |
| 494 | + AND e.anonymous_id != '' |
| 495 | + AND e.event_name = 'screen_view' |
| 496 | + ${combinedWhereClause} |
| 497 | + GROUP BY e.anonymous_id, toDate(e.time) |
| 498 | + ), |
| 499 | + daily_stats AS ( |
| 500 | + SELECT |
| 501 | + dv.visit_date as date, |
| 502 | + count(DISTINCT CASE |
| 503 | + WHEN afv.first_visit_date = dv.visit_date |
| 504 | + THEN dv.anonymous_id |
| 505 | + ELSE NULL |
| 506 | + END) as new_users, |
| 507 | + count(DISTINCT CASE |
| 508 | + WHEN afv.first_visit_date < dv.visit_date |
| 509 | + THEN dv.anonymous_id |
| 510 | + ELSE NULL |
| 511 | + END) as returning_users, |
| 512 | + count(DISTINCT dv.anonymous_id) as total_users |
| 513 | + FROM daily_visits dv |
| 514 | + LEFT JOIN all_first_visits afv ON dv.anonymous_id = afv.anonymous_id |
| 515 | + GROUP BY dv.visit_date |
| 516 | + ) |
| 517 | + SELECT |
| 518 | + formatDateTime(date, '%Y-%m-%d') as date, |
| 519 | + new_users, |
| 520 | + returning_users, |
| 521 | + ROUND(CASE |
| 522 | + WHEN total_users > 0 |
| 523 | + THEN (returning_users / total_users) * 100 |
| 524 | + ELSE 0 |
| 525 | + END, 2) as retention_rate |
| 526 | + FROM daily_stats |
| 527 | + ORDER BY date ASC |
| 528 | + `, |
| 529 | + params: { |
| 530 | + websiteId, |
| 531 | + startDate, |
| 532 | + endDate: `${endDate} 23:59:59`, |
| 533 | + ...filterParams, |
| 534 | + }, |
| 535 | + }; |
| 536 | + }, |
| 537 | + plugins: { |
| 538 | + normalizeGeo: true, |
| 539 | + }, |
| 540 | + }, |
206 | 541 | }; |
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