It is the first question in every proposal meeting and the one most agencies deflect with "it depends". The honest answer is not a number — it is a three-phase sequence with different deliverables, different metrics and different budgets in each phase. This page lays out all three, with real inquiry-cost ranges, the reason your ad account always looks bad in month one, and a self-check for what to run in-house versus outsource.
Full sources with links at the bottom of this page. Benchmarks are third-party ranges, not promises about your account.
Ask three agencies how long social media marketing takes and you will get three versions of "it depends". That is not dishonesty — it is risk management. The moment someone puts a timeline in writing, it becomes a benchmark they can be measured against, and an underperforming channel becomes visible.
The buyer's real question is never really "how many months". It is "how do I know this is heading in the right direction before the money is gone?" That question has a good answer, and it is not a results promise. It is a staged sequence of deliverables, where each phase produces something you can inspect whether or not the leads have arrived yet.
So here is the framework we use with our own clients: three phases, each with a defined output, a defined metric and a defined budget posture. Judge the programme against the phase it is actually in — not against a lead count it was never designed to produce yet.
Every phase below assumes continuous execution. Pausing in month two and restarting in month four resets the content momentum, the audience learning and — if you are running ads — the campaign learning phase. Intermittent effort produces intermittent results regardless of budget.
This is where most expectations get set wrongly: "social media" is treated as one channel with one speed. It is two channels that share a feed. Paid buys reach immediately and needs continuous spend to hold it. Organic compounds slowly and then keeps working. Operators who use paid to cover the gap while organic builds are the ones who end up with a channel that survives a budget cut.
| What you are watching | Organic (content, community, SEO) | Paid (Meta / TikTok campaigns) |
|---|---|---|
| Reach and followers | 1–3 months of consistent posting before the account reads as active to a first-time visitor | Days to weeks, if the budget can sustain delivery |
| Website traffic from social | 2–4 months at 3–5 posts a week with a clear link path | Immediate, in proportion to spend |
| First inquiries | 4–6 months — the audience has to see you repeatedly before trusting a China trip to you | 2–4 weeks, conditional on the ad set clearing the learning threshold |
| Cost per inquiry | High at first, falls as the library grows and old content keeps earning | Volatile in learning, then stable once consolidated — but it stops the moment spending stops |
| Bookings | Add your own sales cycle to the inquiry timeline | Add your own sales cycle to the inquiry timeline |
| What happens if you stop | Slows down; the library keeps producing for a while | Goes to zero within days |
Third-party travel marketing benchmarks publish per-channel inquiry costs and timelines. They are useful for one thing: deciding which channel deserves the next unit of budget at which stage. They are not useful for predicting your own numbers, which depend on destination appeal, trip value and how well the landing path converts.
| Channel | Time to results | Typical inquiry cost (third-party benchmark) |
|---|---|---|
| Paid search / PPC | Immediate, 3–6 months to optimise | US$150–400 per inquiry — the highest, because the intent is pre-qualified |
| OTA listings (Viator, GetYourGuide, Expedia) | 30–90 days to build reviews and visibility | Effective US$80–200 once the 20–30% commission is counted |
| Social media (content + paid together) | 6–12 months to build a meaningful audience | US$40–120 |
| Content marketing and SEO | 6–18 months to build the library and rankings | US$25–75 once established — the cheapest, and the slowest to arrive |
| Email to an existing list | 3–6 months to see conversion impact | US$10–40 for nurtured subscribers — only if the list exists |
| Referrals | 3–6 months to establish a programme | US$30–100, but capped by how many past customers you have |
The benchmark table above assumes a Western agency cost structure: Western salaries, Western production rates, and footage that has to be commissioned and shot from a different continent. That is precisely the cost layer a China-based team removes. The destination footage is shot where the destination is, in-house, without travel and per-diem pricing attached; the content team works in the same time zone as the suppliers and the guides.
In our own live campaigns that shows up as an inquiry cost in the RMB 14–32 (roughly US$2–4.5) range — against a third-party benchmark of US$40–120 for social channels. We want to be precise about what that comparison does and does not mean: the benchmarks cover different destinations, different trip values and different audience sizes, so the two numbers are not a like-for-like efficiency measurement. What they do show is the scale of the cost-structure difference, and why "cheaper" and "lower quality" are not the same claim.
Read it as a magnitude, not a promise: a China-based delivery team can fund far more testing at the same monthly spend, which shortens the phase-two learning period simply because more combinations get tried in the same amount of time.
Almost every operator who starts paid social goes through the same experience: week one looks promising, week two costs double, week three someone panics and changes the audience. That reaction is understandable and it is also the most expensive thing you can do.
Meta's delivery system requires an ad set to accumulate roughly 50 optimisation events within a rolling seven-day window before it exits the learning phase. In that window the system is running deliberate exploration — testing which audience pockets, placements and times of day respond — so cost per result moving up and down is the designed behaviour, not a malfunction. Under the threshold, the ad set is labelled Learning Limited, meaning the platform does not expect it to reach the threshold soon, usually because the budget is too low, the audience too narrow, or the chosen optimisation event too rare.
What follows from that is a budget formula most operators never run:
Minimum daily budget ≈ (target cost per optimisation event × 50) ÷ 7
If a qualified inquiry costs you US$15, clearing the threshold takes roughly US$107 per day per ad set. Split that across five ad sets and the arithmetic collapses — which is exactly why we consolidate: one structure, one optimisation event, and creative variety inside the ad set rather than five parallel experiments that each individually starve.
There is a second trap. Learning is not just slow to earn, it is easy to lose. Significant edits — changing the audience, swapping the creative, moving the optimisation event, or shifting the budget by more than roughly 20% at once — restart the learning phase. An operator who reviews daily and adjusts something visible every two days never accumulates learning on any ad set; they pay learning-phase prices all quarter and conclude the channel does not work. The discipline is boring and it is the whole game: decide once a week, change one thing, keep increases under the threshold.
The right split is not "all or nothing". Most operators we work with should keep some of this in-house permanently and hand over the rest. Use the two columns below as a starting position, not a verdict.
What happens in days 0–30, 31–90 and beyond, what to measure at each stage, and how to read a quiet month correctly. Deciding what to expect after you start? Start here.
For the cost axis — what a hire really costs once salary, tools, recruitment runway and the footage problem are loaded, and how that compares with a partner — read our companion guide: In-house vs agency: the real cost comparison →. That page compares the cost structure; this one sets the clock. The two are designed to be read together and link to each other.
Related pages worth reading next: our service overview with programme tiers and pricing, the 2026 China inbound tourism statistics hub for the demand side of the equation, and the DMC case study for what the phases look like in practice. Prefer to see who you would be working with first? Our US source-market guide covers who the travellers are and what they ask before booking.
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